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GAUL L2 Admin Boundaries
Global national and sub-national administrative units from the FAO (2024).
Provided by Nissim Lebovits • Published on 24 Oct 2025Public
Fields of the World
Provided by Wherobots • Published on 21 Oct 2025Public
Microsoft ML Road Detections
This dataset provides Microsoft's ML road detections in Parquet format, including 54.2 million kilometers of roads detected across 235 countries worldwide.
Provided by Nissim Lebovits • Published on 20 Oct 2025Public
3Dclouds
Provided by Cesar Aybar • Published on 20 Oct 2025Public
Cloud Native MGRS
Full(-ish) MGRS 1km grid. Data is downloaded data from https://earth-info.nga.mil/index.php?dir=coordsys&action=utm-1km-polyline-dloads (but 5 files were missing from their list). Goal is to make it easier to access - details in the readme.
Provided by Taylor Geospatial Engine Labs • Published on 13 Oct 2025Public
Cloud Native MGRS
Full(-ish) MGRS 1km grid. Data is downloaded data from https://earth-info.nga.mil/index.php?dir=coordsys&action=utm-1km-polyline-dloads (but 5 files were missing from their list). It mostly has the original columns, though attempted to combine the two length ones. Added admin boundaries following the vecorel administrative division extension, though as of now it's not vecorel compliant. Plan is to do that, and add geometry extension (and remove the similar columns from the original shapefiles).
Provided by Chris Holmes • Published on 10 Oct 2025Public
Spatial datasets of probabilistic wildfire risk components for the United States (270m) (3rd Edition)
This is a modified version of the USFS RDS-2016-0034-3 dataset. It has been reprojected to EPSG:4326 and stored in the Icechunk format. It contains burn probability (BP) and conditional flame-length probability (FLP) variables covering the continental United States.
Provided by CarbonPlan • Published on 8 Oct 2025Public
DWD ICON Weather Model Archive
Archives of Deutscher Wetterdienst (DWD, the German Meteorological Service) ICON weather model output in grib2 format. DWD maintains only a short rolling window of files on their servers, some of which we archive here. A subset of the variables in these files will be available in a cloud optimized Zarr format , see dynamical.org for availability.
Provided by dynamical.org • Published on 8 Oct 2025Public
Public Test
Provided by Michelle Roby • Published on 8 Oct 2025Public
CSV PapaParse test files
The CSV files used to test the PapaParse library.
Provided by Sylvain Lesage • Published on 6 Oct 2025Public
Apache Parquet Testing Data
This product contains a subset of the Parquet files published in https://github.com/apache/parquet-testing. It includes both correct (data) and bad (bad_data) Parquet files. The data/geospatial subdirectory contains test files for the new GEOMETRY logical type.
Provided by Sylvain Lesage • Published on 3 Oct 2025Public
Fiboa datasets
A combined repository for fiboa 0.3.0+ datasets
Provided by Field Boundaries for Agriculture (fiboa) • Published on 3 Oct 2025Public
Embedding Fields of The World
Embedding zonal stats over FTW boundaries
Provided by geovibes • Published on 2 Oct 2025Public
NOAA HRRR forecast, 48 hour
Weather forecasts from the High Resolution Rapid Refresh (HRRR) model operated by NOAA NWS NCEP, transformed into Zarr format by dynamical.org
Provided by dynamical.org • Published on 26 Sep 2025Public
FTW Inference Inputs
This repo is used to store items that are required for performing inference using the FTW Baseline tool.
Provided by Fields of The World • Published on 26 Sep 2025Public
Data to support downscaling regional economic activity
Collection of open datasets that provide indicators, covariates and validation of downscaled (global) regional economic activity.
Provided by Oxford Programme for Infrastructure Systems • Published on 25 Sep 2025Public
example-tiff
Example TIFFs for testing I/O libraries
Provided by Pangeo • Published on 24 Sep 2025Public
Embeddings
tile-level embeddings generated from various models, aka the vibes
Provided by geovibes • Published on 21 Sep 2025Public
Geometries
AOIs over which we have generated model vibes, typically at the state/province level
Provided by geovibes • Published on 21 Sep 2025Public
Search
Where the magic happens: tar files with a nearest-neighbor similarity index and a duckdb of the model embeddings bundled together. N.B the duckdb table contains all of the embeddings for a given AOI, so can be large (~20-30GB).
Provided by geovibes • Published on 21 Sep 2025Public
Microsoft Building Footprints
This product re-packages Microsoft's Open Building Footprint data available from [GitHub](https://github.com/microsoft/GlobalMLBuildingFootprints) into cloud native GeoParquet 1.1 files following [best practices](https://github.com/opengeospatial/geoparquet/blob/main/format-specs/distributing-geoparquet.md). This is different from the version created by [VIDA](https://source.coop/vida/google-microsoft-osm-open-buildings), using the latest version of Microsoft's footprint data and separating it out from Google's building data.
Provided by The Centre for Humanitarian Data (HDX) • Published on 18 Sep 2025Public
Google Open Buildings
This product re-packages Google's Open Building Footprint data available from [Google Research](https://sites.research.google/gr/open-buildings/) into cloud native GeoParquet 1.1 files following [best practices](https://github.com/opengeospatial/geoparquet/blob/main/format-specs/distributing-geoparquet.md). This improves on the version available by [Chris Holmes](https://source.coop/cholmes/google-open-buildings) by upgrading from GeoParquet 1.0.0-beta.1 to 1.1 as a distribution format, allowing for bounding box filtering. https://researchsites.withgoogle.com/tiles.geojson
Provided by The Centre for Humanitarian Data (HDX) • Published on 18 Sep 2025Public
Storm Events Database
The Storm Events Database documents storms and other weather phenomena having sufficient intensity to cause loss of life, injuries, property damage, and/or disruption to commerce across the United States. Records date from 1950 up to the current year. Created by the National Weather Service and the National Centers for Environmental Information, the dataset is presented here by The Internet of Water Coalition, The Commons, and Earth Genome.
Provided by Earth Genome • Published on 17 Sep 2025Public
GlobalBuildingAtlas LoD1
Level of detail 1 (LoD1) data of buildings across the globe. Credit: https://mediatum.ub.tum.de/1782307
Provided by Taylor Geospatial Engine Labs • Published on 5 Sep 2025Public
Flight Tracks
Provided by Root Geospatial • Published on 3 Sep 2025Public
Polar-Orbiting Satellite Imagery
This contains data from the JPSS and MetOp satellites in Icechunk format. The data has been converted with Satpy, and is updated as time allows. The archives are very incomplete, but the goal is to continually expand them.
Provided by Jacob Prince-Bieker • Published on 10 Jul 2025Public
Geostationary Full-Disk Imagery
This repo contains full-disk geostationary imagery from GOES/Himawari/G2-KA in icechunk format, converted from the public AWS archives. The data is processed by Satpy, and is the L1b data. The datasets are very incomplete, but the goal is to slowly add more historical imagery as time allows, as well as near-real time.
Provided by Jacob Prince-Bieker • Published on 10 Jul 2025Public
AOML Ocean GTS Observations
This repo is all available ocean observations from AOML in the flattened GTS stream, converted to Icechunk as one large store, from 2012-01-01 to 2025-06-30.
Provided by Jacob Prince-Bieker • Published on 7 Jul 2025Public
GEOS Atmosphere Composition Analysis
GEOS-CF High temporal resolution analysis, in Icechunk. 15-minutely, 0.25 degree resolution products. This is the analysis product, available from 2018-Present, with a 1 day delay. More information is available: https://gmao.gsfc.nasa.gov/weather_prediction/GEOS-CF/.
Provided by Jacob Prince-Bieker • Published on 29 Jun 2025Public
Global Food Twin
Data powering the Global Food Twin application
Provided by Earth Genome • Published on 17 Jun 2025Public
WeatherReal-filtered NOAA Integrated Surface Dataset
This is the ISD data, filtered as in the WeatherReal dataset paper. They have been converted to Zarr.
Provided by Jacob Prince-Bieker • Published on 5 Jun 2025Public
International Precipitation Radar
This contains various sets of precipitation radar estimates from different countries, initially the UK and Finland. The data has been optimized with icechunk. The data stored in each store is limited to what is outputted by the national weather services. In Finland's case, this data contains the hourly 1-hour, 12-hour, and 24-hour precipitation accumulations. For the UK, this contains the composite rain rate radar output. For US MRMS outputs, there is a different collection containing that output.
Provided by Jacob Prince-Bieker • Published on 1 Jun 2025Public
Cloud-Optimized NREL National Solar Radiation Database
This contains international data listed here (https://nsrdb.nrel.gov/data-sets/international-data) in Icechunk format. The first location available is the India data, as it is the smallest. Plans include reprocessing the full set of hourly/minutely data available here: https://data.openei.org/s3_viewer?bucket=nrel-pds-nsrdb The data has been chunked to optimize reading the full spatial area at single timesteps. If you want to read a single point across time, it might be easier to use the NSRDB's API to access the individual points, or rechunk the data here.
Provided by Jacob Prince-Bieker • Published on 30 May 2025Public
Global Hydrology Estimate and Enterprise Rain Rate
This contains data from the Global Hydrology Estimate product and Enterprise Rain Rate product from NOAA in Icechunk format from. https://registry.opendata.aws/noaa-ghe The Enterprise Rain Rate is the replacement for the GHE.
Provided by Jacob Prince-Bieker • Published on 28 May 2025Public
NCEI Estuarine Bathymetry
The National Ocean Service (NOS) Estuarine Bathymetric Digital Elevation Models are gridded bathymetry datasets interpolated from 150 years’ worth of hydrographic survey data collected by the former NOS Special Projects Office. The initiative produced datasets for 70 estuaries in the conterminous United States with sufficient data coverage to support detailed bathymetric processing. Estuarine bathymetric data are available as gridded products with 30 meter spatial resolution.
Provided by Richard Signell • Published on 30 Apr 2025Public
US Census and Crop Data Layers - Hex Fused-partitioned
This contains 2 main datasets: - Population and housing in Parquet format, from US Census 2020). Available at Hex 8 and Hex 7 resolutions. - Land Use / Land Cover from USDA Crop Data Layer. Available for every 2nd year from 2012-2024 at Hex 8 and Hex 7 resolutions.
Provided by Fused • Published on 30 Apr 2025Public
Ocean Carbon Dioxide Removal Atlas: Global Direct Ocean Removal (DOR) Map
Global ocean data for Direct Ocean Removal experiments, covering releases in different spatial locations and times of year. This dataset mirrors previous work done on [Ocean Alkalinity Enhancement](https://source.coop/repositories/cworthy/oae-efficiency-atlas/description)
Provided by [C]Worthy • Published on 22 Apr 2025Public
Earth Index Imagery
Earth Index Imagery
Provided by Earth Genome • Published on 1 Apr 2025Public
Earth Index Embeddings
Embeddings created by EarthGenome for the EarthIndex project
Provided by Earth Genome • Published on 31 Mar 2025Public
Forest Carbon Project Boundaries
A global database providing geospatial boundaries for 575 nature-based carbon offset projects across 55 countries, including avoided deforestation, afforestation/reforestation, and improved forest management initiatives. Contains detailed project metadata to support verification and analysis of carbon offset efficacy.
Provided by Cecil • Published on 28 Mar 2025Public
RapidCrops: A pan-European label dataset for large-scale crop classification
99M agricultural parcel boundaries with harmonised crop type information across a wide spatio-temporal coverage; covering seven EU countries for 5-7 years. Data is derived from parcel boundaries and crop type information reported under the EU IACS programme. Our methodology seeks to improve the usability of the parcel boundaries without diluting their integrity. Additional attributes are provided to support the use of the data in ML workflows; especially for those leveraging EO data. This dataset builds on top of significant prior contributions, namely the EuroCrops crop dataset harmonisation initiative and the fiboa open data standard for parcel boundaries.
Provided by Planet • Published on 24 Mar 2025Public
NOAA GEFS analysis
Weather analysis from the Global Ensemble Forecast System (GEFS) model operated by NOAA NWS NCEP, transformed into Zarr format by dynamical.org.
Provided by dynamical.org • Published on 20 Mar 2025Public
Weather Station Real-Time in Parquet
An edge-to-cloud environmental monitoring project using a Raspberry Pi and Enviro+ sensor to stream high-resolution weather data directly to cloud storage in Parquet format. It leverages client-side tools like DuckDB and Evidence for real-time analysis and visualization ... no backend servers, no data loss, and fully resilient offline operation. This experiment explores energy-efficient, open, and scalable approaches to cloud-native IoT architectures. https://weather.youssefharby.com/
Provided by Youssef Harby • Published on 18 Mar 2025Public
Crop Fields for Austria
**Crop Field boundaries for Austria - INVEKOS Schläge Österreich** This layer includes all field uses recorded by the applicants, which serve as the basis for the funding process. A field is a contiguous area of a piece of land that is cultivated for a growing season with only one crop (field use type) and uniform management requirements or as a landscape element type in accordance with Annex 1 of the regulation of the responsible Federal Ministry with horizontal rules for the area of the Common Agricultural Policy (Horizontal CAP Regulation) StF: BGBl. II No. 100/2015 or is simply maintained in good agricultural and ecological condition in accordance with Art. 94 of Regulation (EU) No. 1306/2013 and is digitized in the GIS as a polygon or as a point.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 7 Mar 2025Public
Historical Topographic Maps of Japan
This repository aims to convert and publish historical topographic maps of Japan after the introduction of modern surveying techniques, making them suitable for web-based viewing.
Provided by Nobusuke Iwasaki • Published on 5 Mar 2025Public
General Bathymetric Chart of the Oceans (GEBCO) from 2024
GEBCO’s current gridded bathymetric data set, the GEBCO_2024 Grid, is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2024 Grid is based on. This release includes a version of the grid with under-ice topography/bathymetry information for Greenland and Antarctica. Original source: https://www.gebco.net/data_and_products/gridded_bathymetry_data/
Provided by Alex Leith • Published on 3 Mar 2025Public
European Ground Motion Cloud Native Data
This repository contains data converted from the original Copernicus European Ground Motion Service datasets. The source data was provided as zipped CSV files and has been transformed into cloud native geospatial formats.
Provided by Youssef Harby • Published on 28 Feb 2025Public
NOAA GEFS forecast, 35 day
Weather forecasts from the Global Ensemble Forecast System (GEFS) model operated by NOAA NWS NCEP, transformed into Zarr format by dynamical.org.
Provided by dynamical.org • Published on 25 Feb 2025Public
H3YS WorldPop
WorldPop Population Counts / Unconstrained individual countries 2000-2020 (originally 100m resolution) aggregated in H3 and packed in PMTiles.
Provided by UN Smart Maps Group • Published on 15 Feb 2025Public
国土数値情報サンプル
https://github.com/gislab-mlit/next-ksj-formats で公開されているサンプルファイルのコピーです。 PMTiles 形式と FlatGeobuf 形式のファイルのコピーを置いています。
Provided by UN Smart Maps Group • Published on 8 Feb 2025Public
Open Administrative Boundaries
A set of files to enable adding an [administrative division](https://github.com/fiboa/administrative-division-extension) column to GeoParquet data. Initially just an Overture 'divisions' file from January 2025 filtered to just be 'country'. Hopefully will add other options here. Can be used in [geoparquet-tools](https://github.com/cholmes/geoparquet-tools) 'add country-codes'
Provided by Chris Holmes • Published on 21 Jan 2025Public
Wadhwani AI Pest Management Open Data for Pink Bollworms and American Bollworms
This repository acts as a gateway to the Wadhwani Institute for Artificial Intelligence (Wadhwani AI) pest data set. The data set is primarily intended for training pest recognition models. Such models are used by Wadhwani AI to help cotton farmers make better pest management decisions. Please view our github repository (https://github.com/WadhwaniAI/pest-management-opendata) which provides detailed documentation about the data and also contains scripts to format the data for consumption by popular modelling frameworks.
Provided by Wadhwani Institute for Artificial Intelligence • Published on 9 Jan 2025Public
Spain Navarra Crop fields
Geographic Information System (SIGPAC) updated and coordinated with the land registry that allows the geographical identification of plots declared by farmers in any aid scheme related to the surface area.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 30 Dec 2024Public
Spain Castilla-La Mancha Crop fields
SIGPAC is a Geographic Information System dedicated to the control of agricultural aid under the CAP (Common Agricultural Policy). This tool is mandatory for the management of community aid, and is the identification basis for any type of aid related to the surface area.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 30 Dec 2024Public
Gallicia SIXPAC Crop Fields
The Geographic Information System for Agricultural Plots (SIXPAC) is an official reference database for the identification of agricultural plots, which is mandatory in Spain for making applications for direct CAP aid that require declaring surface areas. The purpose of SIXPAC is to provide information to farmers applying for these aid schemes, so that they can indicate the location of the farm surfaces that may be eligible for subsidies, as well as to facilitate the submission of requests for changes to data relating to land uses contained in the system.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 29 Dec 2024Public
Comunidad de Madrid Crop Fields
SIGPAC is the Agricultural Parcel Identification System implemented throughout the European Union for the application of CAP (Common Agricultural Policy) aid to farmers and ranchers. SIGPAC is configured as a database containing digitalized cartographic images of the entire national territory (aerial orthoimages) and a geographic delimitation of each plot of land with its individual reference and the attributes corresponding to its geometry and agricultural use.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 29 Dec 2024Public
Spain Cantabria Crop fields
Cantabria offers the SIGPAC data as an Inspire-based service. The data is free to use, redestribution is limited to a non-commercial license. Get a free, commercial license at https://www.territoriodecantabria.es/cartografia-sig/datos-abiertos-y-politica-de-licencias .
Provided by Field Boundaries for Agriculture (fiboa) • Published on 29 Dec 2024Public
Spain Agricultural Plots in the Valencian Community (SIGPAC)
Graphic layer of the plots and enclosures with defined agricultural uses that accompany the information of the Geographic Information System (SIGPAC) in the Valencian Community valid for the SIGPAC 2024 campaign (data dated 15-01-2024). The SIGPAC is the Geographic Information System for the Identification of Agricultural Plots dedicated to the control of agricultural aid of the Common Agricultural Policy (CAP), which arises through the collaboration between the Spanish Agricultural Guarantee Fund (FEGA) and the Agriculture Councils of the CCAA. It is a public registry of administrative profile that contains updated information on the plots likely to benefit from community aid related to the surface area.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 27 Dec 2024Public
Spain Canary Islands Crop fields
The Canary Islands Crop Map is a cartographic dataset developed by the Department of Agriculture, Livestock, Fisheries and Water of the Government of the Canary Islands, to understand the reality of the available agricultural surface of the Canary Islands. There are several crop maps for each of the islands, which allow us to see the temporal and spatial evolution of the cultivated areas of the islands in recent years. All this means that the Canary Islands Crop Map is a data set for decision-making in present and future regional agricultural policy, as well as being a basic source for the preservation of agricultural land in the field of territorial planning.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 26 Dec 2024Public
Spain Balearic Islands Crop fields
The Geographic Information System of the Common Agricultural Policy of agricultural sites (SIGPAC), allows to identify geographically the enclosures declared by farmers and farmers, to any aid scheme related to the area cultivated or taken advantage of by the herd. This data includes protection strips on the banks of watercourses by application of BCAM 4.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 26 Dec 2024Public
Spain Extremadura Crop fields
Sigpac Field boundaries of Spain, region Extremadura Layer relating to enclosures, which constitute a continuous surface of land, within a plot, with the same agricultural use.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 25 Dec 2024Public
Spain Basque Country Crop Fields
SIGPAC, the geographic information system for the identification of agricultural plots, is the system that farmers and ranchers must use to apply for community aid related to the area. The reason for putting this system into effect was the result of a requirement imposed by the European Union on all Member States. Sigpac began to be used from February 1, 2005, together with the beginning of the 2005 community aid application period.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 24 Dec 2024Public
SIGPAC - Sistema de Información Geográfica de la Política Agrícola común (ejercicio actual)
Geographic Information System (SIGPAC) updated and coordinated with the land registry that allows the geographical identification of plots declared by farmers in any aid scheme related to the surface area. Published by the Aragon local government. (c) Gobierno de Aragon
Provided by Field Boundaries for Agriculture (fiboa) • Published on 24 Dec 2024Public
Spain Andalusia Crop fields
Sigpac Andalucía SIGPAC is the Geographic Information System for the Identification of Agricultural Plots , created through collaboration between the Spanish Agricultural Guarantee Fund (FEGA) and the different Autonomous Communities, within the scope of their territories, as an element of the Integrated Management and Control System of the direct aid regimes. It has the character of a public register of administrative profile, and contains updated information on the plots that may benefit from community aid related to the surface area, providing graphic support for these and their subdivisions (ENCLOSURES) with defined agricultural uses or developments.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 24 Dec 2024Public
Spain Castile and León Crop fields (SIGPAC)
Official SIGPAC land plan of the SIGPAC (FEGA) database. Free use of the data is permitted, but commercial exploitation is prohibited.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 23 Dec 2024Public
Overture Maps - Roads Dataset (PMTiles) - Riyadh, Saudi Arabia
This repository includes geospatial dataset of Roads in PMTiles Format For Riyadh Region, Saudi Arabia derived from Overture Maps, last updated on 12 February 2024. # You can navigate to @tabaqat to explore our repositories.
Provided by Tabaqat • Published on 18 Dec 2024Public
Archive of data.gov
This collection includes BagIt archives of every entry on data.gov, including API metadata for each dataset.
Provided by Harvard Library Innovation Lab • Published on 13 Dec 2024Public
New Zealand National irrigated land
This dataset covers Irrigated Land. It's not a full/high-quality crop field dataset for the country. DATA SOURCE: Aqualinc Research Limited, [Technical report available](https://environment.govt.nz/publications/national-irrigated-land-spatial-dataset-2020-update) Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Dec 2024Public
Japan Fude Polygons
Japanese Farmland Parcel Polygons (Fude Polygons in Japanese) represent parcel information of farmland. The polygons are manually digitized data derived from aerial imagery, such as satellite images. Since no on-site verification or similar procedures have been conducted, the data may not necessarily match the actual current conditions. Fude Polygons are created for the purpose of roughly indicating the locations of farmland. Original data converted to fiboa from https://source.coop/repositories/pacificspatial/field-polygon-jp
Provided by Field Boundaries for Agriculture (fiboa) • Published on 4 Dec 2024Public
Field Boundaries for Latvia
This dataset contains the field boundaries for all of Latvia in 2024.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 3 Dec 2024Public
Spain SIGPAC Field Data
The Spanish SIGPAC (Agricultural Plots Information System) is a database, or official register, for which FEGA (ministry of agriculture) and the departments of agriculture of the autonomous regions publish crop fields. Currently, the data is collected in different formats from each of the sources, and converted into fiboa data sets. See https://www.fega.gob.es/en/pepac-2023-2027/sistemas-gestion-y-control/sigpac or http://www.mapama.gob.es/es/agricultura/temas/sistema-de-informacion-geografica-de-parcelas-agricolas-sigpac-/ for more information.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 2 Dec 2024Public
Sentinel-2 L2A RGB Satellite Imagery (PMTiles) - Riyadh Governorate, Saudi Arabia
This repository include (PMTiles) of Sentinel-2 L2A Satellite Imagery of Riyadh Governorate, Saudi Arabia captured from (1 to 14) July 2024 , derived from https://earth-search.aws.element84.com/v1 by Tabaqat satellite tool which is one of Tabaqat GeoApps tools provided by https://tabaqat.net/. # You can navigate to @tabaqat to explore our repositories.
Provided by Tabaqat • Published on 2 Dec 2024Public
GPM IMERG Early and Final Half-Hourly Precipitation Datasets
This contains two Zarrs, comprising of the GPM IMERG Half Hourly Early, and Final precipitation products. The time frame is from 2000-01-01 to present. The dataest is in the process of being generated, so might be incomplete.
Provided by Jacob Prince-Bieker • Published on 30 Nov 2024Public
USDA Crop Sequence Boundaries
The Crop Sequence Boundaries (CSB) developed with USDA's Economic Research Service, produces estimates of field boundaries, crop acreage, and crop rotations across the contiguous United States. It uses satellite imagery with other public data and is open source allowing users to conduct area and statistical analysis of planted U.S. commodities and provides insight on farmer cropping decisions. NASS needed a representative field to predict crop planting based on common crop rotations such as corn-soy and ERS is using this product to study changes in farm management practices like tillage or cover cropping over time. CSB represents non-confidential single crop field boundaries over a set time frame. It does not contain personal identifying information. The boundaries captured are of crops grown only, not ownership boundaries or tax parcels (unit of property). The data are from satellite imagery and publicly available data, it does not come from producers or agencies like the Farm Service Agency.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 25 Nov 2024Public
Overture Maps - Places Dataset - Riyadh, Saudi Arabia
This repository includes geospatial dataset of Places (AOIs) in GeoParquet Format For Riyadh Region, Saudi Arabia derived from Overture Maps, last updated on 20 December 2024.
Provided by sarah gamal • Published on 24 Nov 2024Public
Overture Maps - Places Dataset (GeoParquet) - Riyadh, Saudi Arabia
This repository includes geospatial dataset of Places (AOIs) in GeoParquet Format For Riyadh Region, Saudi Arabia derived from Overture Maps, last updated on 11 February 2024. # You can navigate to @tabaqat to explore our repositories.
Provided by Tabaqat • Published on 23 Nov 2024Public
Sentinel-2 L2A RGB Satellite Imagery (COG) - Riyadh Governorate, Saudi Arabia
This repository include (Cloud Opimized Geotiff) Sentinel-2 L2A Satellite Imagery of Riyadh Governorate, Saudi Arabia from (1 to 14) July 2024 , derived from https://earth-search.aws.element84.com/v1 by Tabaqat satellite tool which is one of Tabaqat GeoApps tools provided by https://tabaqat.net/. # You can navigate to @tabaqat to explore our repositories.
Provided by Tabaqat • Published on 23 Nov 2024Public
California Statewide Crop Mapping
For many years, the California Department of Water Resources (DWR) has collected land use data throughout the state and used this information to develop water use estimates for statewide and regional planning efforts, including water use projections, water use efficiency evaluation, groundwater model development, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliance issues, environmental impacts, ecosystem services, urban and economic development, and other issues.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 22 Nov 2024Public
NAIP data embedded with Clay v1.5 (rev2)
This repository has the embeddings using Clay vq.5 for the entire NAIP archive. See details on README.md License: Clay [CC-By](https://creativecommons.org/licenses/by/4.0/)
Provided by Clay • Published on 22 Nov 2024Public
Japanese Farmland Parcel Polygons
Parcel information of Japanese farmland. The “筆ポリゴン” (Fude Polygon) data, provided by the Ministry of Agriculture, Forestry and Fisheries (MAFF), represents parcel information of farmland. This data is available for the fiscal years 2021, 2022, 2023, and 2024. As of November 20, 2024, the original data can be accessed and downloaded from the following sources:
Provided by Pacific Spatial Solutions • Published on 21 Nov 2024Public
Vector Tiles and 3D Tiles from Project PLATEAU
Vector Tiles and 3D Tiles from Project PLATEAU to Source Cooperative.
Provided by UN Smart Maps Group • Published on 21 Nov 2024Public
Foursquare Open Source Places - Fused-partitioned
The Foursquare Open Source Places dataset, geo-partitioned with Fused for convenient access.
Provided by Fused • Published on 20 Nov 2024Public
Global Mosaic of Geostationary Images
This is the Global Mosaic of Geostationary Images, converted to Zarr v3. It is a mosaic of multiple geostationary weather satellites, on an hourly cadence. This is a unified version of the Hugging Face dataset [here](https://huggingface.co/datasets/jacobbieker/global-mosaic-of-geostationary-images) with some extensions.
Provided by Jacob Prince-Bieker • Published on 20 Nov 2024Public
Czech crop fields
Czech offers open data sets for fields as part of the implementation of the Inspire directive. This dataset represents the Crop Fields (Plodiny).
Provided by Field Boundaries for Agriculture (fiboa) • Published on 15 Nov 2024Public
Slovakia Crop fields (Hranice užívania)
LPIS is an agricultural land identification system. It represents the vector boundaries of agricultural land and carries information about the unique code, acreage, culture/land use, etc., which is used as a reference for farmers' applications, for administrative and cross-checks, on-site checks and also checks using remote sensing methods.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 14 Nov 2024Public
Sentinel-2 data embedded with Clay v1.5
Sentinel-2 data embedded with Clay v1.5
Provided by Clay • Published on 14 Nov 2024Public
Tennessee Historical Imagery
Tennessee Historical Imagery acquired from 1997-2006. It cover all 95 counties in Tennessee except Knox County. The images are provided in Cloud Optimized GeoTIFF format, which were converted from MrSID format. The original data were downloaded from https://tnmap.maps.arcgis.com/apps/instant/portfolio/index.html?appid=9bd85ab913914bfda59431fee9557f48
Provided by Qiusheng Wu • Published on 14 Nov 2024Public
Croatian Agricultural Spatial Data
This dataset contains spatial data related to agricultural land use in Croatia, including ARKOD parcel information, environmentally sensitive areas, High Nature Value Grasslands, protective buffer strips around watercourses, and vineyard classifications. The data is crucial for managing agricultural activities, ensuring compliance with environmental regulations, and supporting sustainable land use practices.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 14 Nov 2024Public
Catalonia Crop Fields (Mapa de cultius)
The Department of Agriculture, Livestock, Fisheries and Food makes available to the public the data from the crop map of Catalonia. This map allows you to locate the crops declared in the Agrarian Declaration - DUN submitted to the DACC.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Nov 2024Public
US Structures from Oak Ridge National Laboratory
The USA Structures Dataset provides a comprehensive geospatial database of over 125 million building structures across the U.S. and its territories, capturing every structure larger than 450 square feet. Developed by Oak Ridge National Laboratory (ORNL) through the integration of advanced geospatial science, high-performance computing, and AI, this dataset processes over 1.1 petabytes of imagery. It serves as a valuable resource across various fields, supporting tasks from urban planning to emergency response with detailed location-based data. Its precise, accessible structure facilitates cross-agency collaboration, making it an essential tool for federal, local, state, tribal, and territorial organizations. The dataset accelerates tasks like damage assessments and recovery operations, aiding communities in recovering from disasters efficiently.
Provided by Wherobots • Published on 13 Nov 2024Public
Field boundaries for Switzerland
The cropfields of Switzerland (Nutzungsflächen) are published per administrative subdivision called Canton. Each Canton can use a different license. We carefully selected the Cantons that publish the data as open data. Included Cantons: AG, AI, BE, BL, BS, FR, GE, GL, JU, LU, SH, SO, SZ, TG, UR, VS, ZG Excluded Cantons: AR, NW, OW, VD, LI
Provided by Field Boundaries for Agriculture (fiboa) • Published on 12 Nov 2024Public
Lacuna Labels
A region-wide, multi-year set of crop field boundary labels for Africa
Provided by Field Boundaries for Agriculture (fiboa) • Published on 12 Nov 2024Public
Crop fields for Slovenia
The KRMS dataset includes CAP applications of the last year and discerns around 150 different crop categories.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 12 Nov 2024Public
Luxembourg FLIK Parcels
The Land Parcel Identification System (LPIS) is a reference database of the agriculture parcels used as a basis for area related payments to farmers in relation to the Common Agricultural Policy (CAP). These payments are (co)financed by the European Agricultural Guarantee Fund (‘EAGF’) and the European Agricultural Fund for Rural Development (‘EAFRD’). To ensure that payments are regular, the CAP relies on the Integrated Administration and Control System (IACS), a set of comprehensive administrative and on the spot checks on subsidy applications, which is managed by the Member States. The Land Parcel Identification System (LPIS) is a key component of the IACS. It is an IT system based on ortho imagery (aerial or satellite photographs) which records all agricultural parcels in the Member States. It serves two main purposes: to clearly locate all eligible agricultural land contained within reference parcels and to calculate their maximum eligible area (MEA). The LPIS is used for cross checking during the administrative control procedures and as a basis for on the spot checks by the paying agency.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 10 Nov 2024Public
Field boundaries for Walonia, Belgium
The Crop Fields (PAA) covers land use in agricultural and forestry areas managed as part of the implementation of the Common Agricultural Policy by the Paying Agency of Wallonia. The PAA represents the public, anonymous version of the agricultural plot. This data set is acquired through the Inspire Geoportal of the European Commission, No conditions apply to access and use.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 10 Nov 2024Public
Ireland Crop Fields
Ireland INSPIRE Geospatial aid application (GSAA) dataset. This data represents the outline shape of LPIS parcels as claimed under area based schemes. The dataset includes the crops claimed as part of the annual GSAA. Yearly information provided through the beneficiary declaration.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 9 Nov 2024Public
Field boundaries for Sweden
Provides ca. 1.142.000 official field boundaries from the Sweden. It has been converted to fiboa from the 2023 export that was provided by Jordbruksverket (The Swedish Board of Agriculture).
Provided by Field Boundaries for Agriculture (fiboa) • Published on 8 Nov 2024Public
WaterNet Global Waterways
This is a new global dataset that predicts the locations of waterways around the world. This data was created by the Better Planet Laboratory in partnership with Bridges to Prosperity using an novel AI model called WaterNet that predicts the location of key waterways (rivers and streams), many of which were previously unmapped. The data produced by this model triples the extent of mapped waterways on a global scale.
Provided by Bridges To Prosperity • Published on 7 Nov 2024Public
Field boundaries for Saarland, Germany
This dataset contains data transformed into the INSPIRE data model “Land Use” of the IACS areas applied for within the framework of agricultural land promotion (GIS application) from the Saarland.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 5 Nov 2024Public
Field boundaries for Mecklenburg-Western Pomerania, Germany
Field block register of the Ministry of Agriculture and Environment M-V
Provided by Field Boundaries for Agriculture (fiboa) • Published on 5 Nov 2024Public
Field boundaries for Saxony, Germany
Saxony/Sachsen
Provided by Field Boundaries for Agriculture (fiboa) • Published on 5 Nov 2024Public
NYC Citi Bike
New York City's official bike-sharing system. The dataset contains comprehensive information including bike station locations, pickup times, ride durations, and many others, making it an ideal resource for analyzing CitiBike ridership patterns across New York City.
Provided by Zhenpei Luo • Published on 9 Oct 2024Public
Agricultural Field Boundaries over EU
A vector dataset of Field Boundaries, automatically delineated from Sentinel-2 satellite imagery from May-June 2022.
Provided by Planet • Published on 2 Oct 2024Public
Fieldscapes: Field Boundaries for South Africa
No Description Provided
Provided by Kerner Lab • Published on 2 Sep 2024Public
GIS Data by Karnataka Geographic Information System
This repo contains boundary datasets published by Karnataka Geographic Information System on their official portal https://kgis.ksrsac.in/kgis/downloads.aspx
Provided by Krishna Lodha • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Vietnam
This dataset contains the same polygons from AI4SmallFarms by the University of Twente Research Information. It was adapted for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Sweden
This dataset is a subset of the dataset obtained from the Swedish Agency for Agriculture. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Spain
This dataset is a subset of the dataset obtained from the SIGPAC Nevarra. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Slovenia
This dataset is a subset of the dataset from the Ministry of Agriculture, Forestry and Food and provided by Agency of the Republic of Slovenia for Agricultural Markets and Rural Development. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Slovakia
This dataset is a subset of the dataset from Agricultural Payment Agency by the INSPIRE dataset. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Rwanda
This dataset contains field boundaries for smallholder farms in eastern Rwanda for the 2021 growing season for the purpose of conducting the Rwanda Field boundary detection Challenge. It was adapted for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Portugal
This dataset is a subset of the original data source from SIP - INSTALLMENT IDENTIFICATION SYSTEM website. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Netherlands
This dataset is a subset of the dataset obtained from the Netherlands Enterprise Agency. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Luxembourg
This dataset is a subset of the dataset obtained from the Agricultural Technical Services Administration. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Lithuania
This dataset is a subset of the dataset obtained from Eurocrops adapted from the National Paying Agency under the Ministry of Agriculture. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Latvia
This is a subset of the entire dataset provided by the Rural Support Service of Latvia. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Kenya
This dataset contains the same polygons from ECAAS Project. It was adapted for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for India
This dataset contains the same polygons from "Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision" paper. It was adapted for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Germany
This is a subset of the dataset obtained from the Fusion Competition. It was adapted for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for France
This dataset is a subset of the dataset obtained from the Services and Payments Agency(ASP) of France. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Finland
This dataset is a subset of the dataset from the Finnish Food Authority of Finland. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Estonia
This dataset is a subset obtained from the Agricultural Registers and Information Agency in EuroCrops. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Denmark
This dataset is a subset of the dataset obtained from the Danish Agency for Agriculture. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Croatia
This dataset is a subset of the dataset obtained from the Agency for Payments in Agriculture, Fisheries, and Rural Development of Croatia.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Corsica
This dataset is a subset of the dataset obtained from the Republique Francaise - Geoservices of France. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Cambodia
This dataset contains the same polygons from AI4SmallFarms by the University of Twente Research Information. It was adapted for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Brazil
No Description Provided
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Belgium
This dataset is a subset of the dataset obtained from the Agriculture and Sea Fisheries Agency of Belgium. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Fields of The World: Field Boundaries for Austria
This dataset is a subset of the dataset obtained from the Paying Agency Agrarmarkt of Austria. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 1 Sep 2024Public
Canada’s Energy Future 2023: Energy Supply and Demand Projections to 2050
This repository contains projections from Canada’s Energy Future 2023 (EF2023) by the Canada Energy Regulator, exploring scenarios where Canada achieves net-zero greenhouse gas emissions by 2050.
Provided by EcoVoice • Published on 30 Aug 2024Public
Fields of The World (FTW)
Fields of The World (FTW) is a comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries. This dataset aims to meet the growing need for accurate and scalable field boundary data for global agricultural monitoring and assessments.
Provided by Kerner Lab • Published on 27 Aug 2024Public
Google-Microsoft-OSM Open Buildings - combined by VIDA
This dataset merges Google's V3 Open Buildings, Microsoft's GlobalMLFootprints, and OpenStreetMap building footprints. It contains 2,705,459,584 footprints and is divided into 200 partitions. Each footprint is labelled with its respective source, either Google, Microsoft, or OpenStreetMap. It can be accessed in cloud-native geospatial formats such as GeoParquet, FlatGeobuf and PMTiles.
Provided by VIDA • Published on 26 Aug 2024Public
Japanese Vegetation Map (1/25,000)
This data is based on the Natural Environment Conservation Basic Survey conducted by the Ministry of the Environment's Biodiversity Center. The spatial scale of this data set is in 1/25,000. Original data was prepared as a series of Shapefile and publially avaiable for your download (http://gis.biodic.go.jp/webgis/sc-025.html?kind=vg67). We downloaded and merged all shapefile while fixing various schema anomality. We also translated categorical descriptions into English using ChatGPT4o.
Provided by Pacific Spatial Solutions • Published on 22 Aug 2024Public
Denmark Crop Fields (Marker)
Cropfields of Denmark
Provided by Field Boundaries for Agriculture (fiboa) • Published on 21 Aug 2024Public
Canada Natural Gas - Imports and Exports
This repository contains historical data on Canada's natural gas production, exports, and imports, regulated by the Canada Energy Regulator, covering activities from 1985 to present.
Provided by EcoVoice • Published on 18 Aug 2024Public
Canada Solar Maps
This repository gives estimates of the electricity that can be generated by grid-connected photovoltaic systems across different regions and municipalities in Canada.
Provided by EcoVoice • Published on 13 Aug 2024Public
Crop field boundaries for Belgium - Flanders
Since 2020, the Department of Agriculture and Fisheries has been publishing a more extensive set of data related to agricultural use plots (from the 2008 campaign). From 2023, the downloadable dataset of agricultural use plots will also include the specialization given by the company (= company typology) and that is given to the plots of the company.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Aug 2024Public
Field boundaries for Cambodia and Vietnam (AI4SmallFarms)
The large-scale data set consists of 439,001 field polygons divided into 62 tiles of approximately 5×5 km distributed across Vietnam and Cambodia, covering a range of fields and diverse landscape types. The field polygons have been meticulously digitized from satellite images, following a rigorous multi-step quality control process and topological consistency checks.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Aug 2024Public
Field boundaries for Portugal
Open field boundaries (identificação de parcelas) from Portugal
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Aug 2024Public
Field boundaries for Thuringia, Germany
Provides ca. 100,000 official field boundaries from the federal state of Thuringia in Germany. It has been converted to a fiboa GeoParquet file from a file that was provided by the state.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Aug 2024Public
Field Boundaries for Luís Eduardo Magalhães in the west of Bahia state, Brazil
Monthly field boundaries and land use information about 1854 fields from Luís Eduardo Magalhães (LEM) and other municipalities in the west of Bahia state, Brazil. It has been converted to a fiboa GeoParquet file.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 13 Aug 2024Public
Field Boundaries for Latvia, provided by Eurocrops
This dataset contains the field boundaries for all of Latvia in 2021. The data was collected by the Latvian government and harmonized by the EuroCrops project.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 19 Jul 2024Public
H3-Indexed cloud-optimized snapshots of GBIF
Derived data products from GBIF snapshots.
Provided by Carl Boettiger • Published on 14 Jul 2024Public
OBIS: Ocean Biodiversity Information System (2024)
Snapshot of the official OBIS parquet, see https://obis.org/data/access/
Provided by Carl Boettiger • Published on 11 Jul 2024Public
NOAA GFS analysis, hourly
Historical weather data from the Global Forecast System (GFS) model operated by NOAA NCEP, transformed into Zarr format by dynamical.org.
Provided by dynamical.org • Published on 8 Jul 2024Public
FOIL4G Data Pack Release 1
FOIL4G (Free and Open Information Library for Geospatial) Data Pack Release 1
Provided by UN Smart Maps Group • Published on 1 Jul 2024Public
PMTiles of UCDP (Uppsala Conflict Data Program) Georeferenced Event Dataset (GED) Global ver. 23.1
See https://github.com/optgeo/uppsala-conflict
Provided by UN Smart Maps Group • Published on 29 Jun 2024Public
Semantic Segmentation of Crop Type in South Sudan
The dataset includes time series of satellite imagery from Sentinel-1, Sentinel-2, and PlanetScope satellites throughout 2016 and 2017. For each tile/chip in the dataset, there are time series of imagery from each of the satellites, as well as a corresponding label that defines the crop type at each pixel. The label has only one value at each pixel location, and assumes that the crop type remains the same across the full time span of the satellite image time series.
Provided by Stanford University • Published on 26 Jun 2024Public
2019 Mali CropType Training Data
This dataset produced by the NASA Harvest team includes crop types labels from ground referencing matched with time-series of Sentinel-2 imagery during the growing season. Crop types include Maize, Millet, Rice and Sorghum. Labels are vectorized over the Sentinel-2 grid, and provided as raster files. Funding for this dataset is provided by Lutheran World Relief, Bill & Melinda Gates Foundation, and University of Maryland NASA Harvest program.
Provided by The University of Maryland • Published on 26 Jun 2024Public
Western USA Live Fuel Moisture
This data contains manually collected live fuel moisture measurements in the western United States and remotely-sensed variables.
Provided by Stanford University • Published on 26 Jun 2024Public
BigEarthNet
BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected.
Provided by Technical University of Berlin • Published on 26 Jun 2024Public
Smallholder Cashew Plantations in Benin
This dataset contains labels for cashew plantations in a 120 km^2 area in the center of Benin. Each pixel is classified for Well-managed plantation, Poorly-managed plantation, No plantation and other classes. The labels are generated using a combination of ground data collection with a handheld GPS device, and final corrections based on Airbus Pleiades imagery.
Provided by TechnoServe • Published on 26 Jun 2024Public
RapidAI4EO
A Corpus of Dense Time Series Satellite Imagery
Provided by Planet • Published on 26 Jun 2024Public
AgriFieldNet Competition Dataset
This dataset contains crop types of agricultural fields in four states of Uttar Pradesh, Rajasthan, Odisha and Bihar in northern India. Ground reference data for this dataset is collected by IDinsight's Data on Demand team. Radiant Earth Foundation carried out the training dataset curation and publication. This training dataset is generated through a grant from the Enabling Crop Analytics at Scale (ECAAS) Initiative funded by The Bill & Melinda Gates Foundation and implemented by Tetra Tech.
Provided by Radiant Earth • Published on 26 Jun 2024Public
SEN12TS: A SAR and Multispectral Dataset for Land Cover Classification
The SEN12TS dataset contains Sentinel-1, Sentinel-2, and labeled land cover image triplets over six agro-ecologically diverse areas of interest: California, Iowa, Catalonia, Ethiopia, Uganda, and Sumatra. Using the Descartes Labs geospatial analytics platform, 246,400 triplets are produced at 10m resolution over 31,398 256-by-256-pixel unique spatial tiles for a total size of 1.69 TB.
Provided by SEN12TS • Published on 26 Jun 2024Public
LandCoverNet
LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018.
Provided by Radiant Earth • Published on 26 Jun 2024Public
Sentinel-2 Cloud Cover Segmentation Dataset
In many uses of multispectral satellite imagery, clouds obscure what we really care about - for example, tracking wildfires, mapping deforestation, or monitoring crop health. Being able to more accurately remove clouds from satellite images filters out interference, unlocking the potential of a vast range of use cases.
Provided by Radiant Earth • Published on 26 Jun 2024Public
Semantic Segmentation of Crop Type in Ghana
The dataset includes time series of satellite imagery from Sentinel-1, Sentinel-2, and PlanetScope satellites throughout 2016 and 2017. For each tile/chip in the dataset, there are time series of imagery from each of the satellites, as well as a corresponding label that defines the crop type at each pixel. The label has only one value at each pixel location, and assumes that the crop type remains the same across the full time span of the satellite image time series.
Provided by Stanford University • Published on 26 Jun 2024Public
South Africa Crop Type Competition
This dataset was produced as part of the Radiant Earth Spot the Crop Challenge (https://zindi.africa/hackathons/radiant-earth-spot-the-crop-hackathon). The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 satellites.
Provided by Radiant Earth • Published on 26 Jun 2024Public
Replicable AI for Microplanning (RAMP)
Replicable AI for Microplanning - A DevGlobal Initiative, in partnership with the World Health Organization.
Provided by Replicable AI For Microplanning • Published on 26 Jun 2024Public
Open Cities AI Challenge Dataset
This dataset was developed as part of a challenge to segment building footprints from aerial imagery. The goal of the challenge was to accelerate the development of more accurate, relevant, and usable open-source AI models to support mapping for disaster risk management in African cities. Read more about the challenge here: https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/. The data consists of drone imagery from 10 different cities and regions across Africa
Provided by Open Cities AI Challenge • Published on 26 Jun 2024Public
Drone Imagery Classification Training Dataset for Crop Types in Rwanda
RTI International (RTI) generated 2,611 labeled point locations representing 19 different land cover types, clustered in 5 distinct agroecological zones within Rwanda. These land cover types were reduced to three crop types (Banana, Maize, and Legume), two additional non-crop land cover types (Forest and Structure), and a catch-all Other land cover type to provide training/evaluation data for a crop classification model.
Provided by RTI International • Published on 26 Jun 2024Public
Marine Debris Dataset for Object Detection in Planetscope Imagery
This dataset consists of images of marine debris which are 256 by 256 pixels in size and labels which are bounding boxes with geographical coordinates. The images were obtained from PlanetScope optical imagery which has a spatial resolution of approximately 3 meters. In this dataset, marine debris consists of floating objects on the ocean surface which can belong to one or more classes namely plastics, algae, sargassum, wood, and other artificial items.
Provided by National Aeronautics and Space Administration • Published on 26 Jun 2024Public
Eyes on the Ground Image Data
This is a unique dataset of georeferenced crop images along with labels on input use, crop management, phenology, crop damage, and yields, collected across 8 counties in Kenya.The research leading to this dataset was undertaken as part of the CGIAR research program on Policies, Institutions and Markets (PIM)
Provided by Lacuna Fund • Published on 26 Jun 2024Public
A crop type dataset for consistent land cover classification in Central Asia
We collected 8,196 samples between 2015 and 2018, 213 in 2011 and 26 in 2008. Our data compiles samples for 40 crop types and is dominated by cotton (40%) and wheat, (25%). These data were meticulously validated using expert knowledge and remote sensing data and relied on transferable, open-source workflows that will assure the consistency of future sampling campaigns.
Provided by German Centre for Integrative Biodiversity Research (iDiv) • Published on 26 Jun 2024Public
CSU Synthetic Attribution Benchmark Dataset
This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications.
Provided by Colorado State University • Published on 26 Jun 2024Public
Marine Debris Archive (MARIDA)
Marine Debris Archive (MARIDA) is a marine debris-oriented dataset on Sentinel-2 satellite images. It also includes various sea features (clear & turbid water, waves, etc.) and floating materials (Sargassum macroalgae, ships, natural organic material, etc) that co-exist. MARIDA is primarily focused on the weakly supervised pixel-level semantic segmentation task.
Provided by National Technical University of Athens • Published on 26 Jun 2024Public
SEN12-FLOOD: A SAR and Multispectral Dataset for Flood Detection
This dataset is composed of co-registered optical and SAR images time series for the detection of flood events.
Provided by European Space Agency • Published on 26 Jun 2024Public
Tropical Cyclone Wind Estimation Competition
A collection of tropical storms in the Atlantic and East Pacific Oceans from 2000 to 2019 with corresponding maximum sustained surface wind speed. This dataset is split into training and test categories for the purpose of a competition. Read more about the competition here: https://www.drivendata.org/competitions/72/predict-wind-speeds/.
Provided by National Aeronautics and Space Administration • Published on 26 Jun 2024Public
GLanCE: A Global Land Cover Training Dataset from 1984 to 2020
The GLanCE global database contains nearly 2 million training units spanning the period from 1984 to 2020 for seven primary and twelve secondary land cover classes. The database is medium spatial resolution (30 m), geographically and spectrally representative of all global ecoregions, and contains up to 23 land cover characteristics per sample. To support land cover change mapping, the dataset includes up to 36 years and information about abrupt and gradual land cover change.
Provided by Boston University • Published on 26 Jun 2024Public
Google Open Buildings
Google's Open Buildings is an open access dataset containing the geometry of buildings across most of Africa, South Asia and South-East Asia. This version of the dataset is transformed to be partitioned by admin 1 boundaries and available in cloud-native geospatial formats (PMTiles, GeoParquet). Note that https://source.coop/repositories/vida/google-microsoft-osm-open-buildings/description is likely a better source for this data. There is no commitment to keep this dataset up to date with the latest releases. The code used to do the processing can be found at https://github.com/opengeos/open-buildings
Provided by Chris Holmes • Published on 26 Jun 2024Public
East Africa Agricultural Field Centers
Georeferenced crop yield prediction is a valuable tool for agronomists and policymakers. One challenge with many existing datasets is that of location accuracy. The goal of this project was to produce a method that can help correct these location offsets by finding the most probable field center given an input location.
Provided by CGIAR • Published on 26 Jun 2024Public
EuroCrops
EuroCrops is a dataset collection combining all publicly available self-declared crop reporting datasets from countries of the European Union. This distribution of the dataset makes it available in cloud-native geospatial formats (GeoParquet, FlatGeobuf, PMTiles), and offers some transformations to align projections to more easily treat it as a single dataset
Provided by Chris Holmes • Published on 26 Jun 2024Public
Finnish Crop Fields (Maatalousmaa)
Field parcel register from the Finnish Food Authority
Provided by Field Boundaries for Agriculture (fiboa) • Published on 18 Jun 2024Public
Crop fields for The Netherlands
Provides the official agricultural reference field boundaries of The Netherlands.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 18 Jun 2024Public
Reference Field boundaries, The Netherlands
Agricultural Parcel dataset as provided by the government
Provided by Field Boundaries for Agriculture (fiboa) • Published on 17 Jun 2024Public
OpenCellid PMTiles - FOIL4G (Free and Open Information Library for Geospatial)
data_id: opencellid_full license: CC-BY-SA-4.0 attributions: - OpenCelliD - https://opencellid.org/ description: OpenCelliD is the world's largest collaborative community project collecting GPS positions of cell towers for various uses. data_format: csv file_format: gzipped_csv file_size: 105MB url: https://opencellid.org/ocid/downloads?token={api_key}&type=full&file=cell_towers.csv.gz
Provided by UN Smart Maps Group • Published on 15 Jun 2024Public
Conservation Policy Spending in Federal Legislation
Data on conservation policy spending under the Bipartisan Infrastructure Law (BIL) and the Inflation Reduction Act from https://conservation.gov in cloud optimized formats.
Provided by Carl Boettiger • Published on 11 Jun 2024Public
Fieldscapes: Field Boundaries for Denmark
This dataset is a subset of the dataset obtained from the Danish Agency for Agriculture. The subset was created for inclusion in the Fieldscapes project.
Provided by Kerner Lab • Published on 10 Jun 2024Public
Field Boundaries for Slovenia, provided by EuroCrops
Provides ca. 800,000 official field boundaries of Slovenia for 2021. It has been converted to a fiboa GeoParquet file from the EuroCrops Shapefile that provides crop classification values that are harmonized across Europe. The data was provided to EuroCrops under an open license from the Slovenian government.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 3 Jun 2024Public
PMTiles terrain tiles from dem1a by Geospatial Information Authority of Japan
No Description Provided
Provided by UN Smart Maps Group • Published on 28 May 2024Public
Field Boundaries for Estonia, provided by Eurocrops
Geospatial Aid Application Estonia Agricultural parcels. The original dataset is provided by ARIB and obtained from the INSPIRE theme GSAA (specifically Geospaial Aid Application Estonia Agricultural parcels) through which the data layer Fields and Eco Areas (GSAA) is made available. The data comes from ARIB's database of agricultural parcels. It has been converted to a fiboa GeoParquet file from the EuroCrops Shapefile that provides crop classification values. The data was provided to EuroCrops under an open license.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 27 May 2024Public
Japan GSI 1m GSD Terrain Tiles in PMTiles
測量法に基づく国土地理院長承認（使用）R 6JHs 133 Demo: https://observablehq.com/d/c0a3f48cf7111cd2
Provided by UN Smart Maps Group • Published on 26 May 2024Public
Multi-Temporal Cloud Gap Imputation With HLS Imagery Across CONUS
This dataset contains temporal Harmonized Landsat-Sentinel imagery of diverse land covers across the Contiguous United States for the year 2022 along with binary cloud masks for the same area and year. This dataset's primary purpose is to train machine learning models for cloud gap imputation. The dataset contains 7,852 224x224x18 HLS scenes and 21,642 binary cloud masks of size 224x224.
Provided by Clark Center for Geospatial Analytics • Published on 24 May 2024Public
MRMS Rainfall Measurements
MRMS Rainfall Measurements, converted to Zarr format. All are the hourly accumulations. A few different options are included, including the Gauge measurement, MultiSensor MultiPass measurement, and the derived precipitation rate.
Provided by Jacob Prince-Bieker • Published on 21 May 2024Public
The Public Utility Data Liberation Project
The PUDL Project is an open source data processing pipeline that makes US energy data easier to access and use programmatically. Hundreds of gigabytes of valuable data are published by US government agencies, but it's often difficult to work with. PUDL takes the original spreadsheets, CSV files, and databases and turns them into a unified resource. This allows users to spend more time on novel analysis and less time on data preparation.
Provided by Catalyst Cooperative • Published on 10 May 2024Public
都市計画決定PMTiles
都市計画決定GISデータ（国土交通省）を加工して使用
Provided by UN Smart Maps Group • Published on 8 May 2024Public
Field Boundaries for France, provided by Eurocrops
Provides ca. 9,500,000 official field boundaries of France for 2018. It has been converted to a fiboa GeoParquet file from the Eurocrops Shapefile that provides crop classification values that are harmonized across Europe. The data was provided to Eurocrops under an open license from the French government.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 6 May 2024Public
South Eel River PM Tiles and .fgb Layers
PM Tiles of the South Fork Eel River flowlines from the NHDPlus HR
Provided by Avi Kertesz • Published on 30 Apr 2024Public
Mobility Data GTFS PMTiles
A single PMTiles file created from all active GTFS data from Mobility Database Catalog from Mobility Data. This is a work in progress. Data will be updated. Downloading and conversion script is at https://github.com/optgeo/mmx-gtfs.
Provided by UN Smart Maps Group • Published on 28 Apr 2024Public
Wildlife Habitat Corridors
Collected datasets on wildlife corridors. Currently based on USGS data for Elk and other large ungulates in the Western United States. (work in progress).
Provided by Carl Boettiger • Published on 26 Apr 2024Public
US Political Boundaries, Including Domestic Sovereign Nations (Federally-Recognized Tribes)
No Description Provided
Provided by Carl Boettiger • Published on 26 Apr 2024Public
Climate and Economic Justice Screening Tool (cloud-native formats)
The Justice40 initiative and CEJST were announced in the Executive Order on Tackling the Climate Crisis at Home and Abroad in January 2021. The CEJST includes interactive maps and an initial draft scorecard which federal agencies can use to prioritize historically overburdened and underserved communities for benefits in their programs. https://screeningtool.geoplatform.gov/, https://github.com/usds/justice40-tool
Provided by Carl Boettiger • Published on 25 Apr 2024Public
Social Vulnerability Index
CDC 2020 Social Vulnerability Index by US Census Track in cloud-optimized formats. Original data from https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html
Provided by Carl Boettiger • Published on 24 Apr 2024Public
SILAM Global Dust Model Forecasts
Finnish SILAM Global Dust Model Forecasts, in Zarr format, at a 0.1 degree resolution. Additionally includes the FMI aerosol AWS forecast in Icechunk.
Provided by Jacob Prince-Bieker • Published on 19 Apr 2024Public
AMX Project 2024-04 PMTiles
AMX (Adopt Map XML) Project is a project to adopt open map data released by Japanese Ministry of Justice. This dataset is produced from the 3rd release in 2024-04. PMTiles Viewer should work on https://protomaps.github.io/PMTiles/?url=https%3A%2F%2Fdata.source.coop%2Fsmartmaps%2Famx-2024-04%2FMojMap_amx_2024.pmtiles
Provided by UN Smart Maps Group • Published on 17 Apr 2024Public
National Hydrology Dataset Plus High Resolution (NHDPlus HR)
A geospatial dataset depicting the flow of water across the Nation's landscapes and through the stream network. The NHDPlus HR was built using the National Hydrography Dataset High Resolution data at 1:24,000 scale or more detailed, the 10 meter 3D Elevation Program data, and the nationally complete Watershed Boundary Dataset.
Provided by Avi Kertesz • Published on 15 Apr 2024Public
Smart Maps LiDAR 3D Tiles from Open Nagasaki
UN Smart Maps Group has created a single 3D Tiles dataset from all LiDAR data from [Open Nagasaki](https://opennagasaki.nerc.or.jp/). Demo site: https://observablehq.com/d/c4d563b1731f286f. This is still a work in progress.
Provided by UN Smart Maps Group • Published on 14 Apr 2024Public
Field boundaries for Austria
Provides ca. 1,300,000 official field boundaries for Austria. Converted from the INVEKOS Referenzen Österreich 2021 GeoPackage to a fiboa GeoParquet file. The layer includes all reference parcels ("Referenzparzellen") defined by the paying agency Agrarmarkt Austria and recorded landscape elements.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 12 Apr 2024Public
Field boundaries for Lower Saxony / Hamburg / Bremen, Germany
Provides ca. 550,000 official field boundaries from the federal state of Lower Saxony in Germany, which also includes data for the federal city states Hamburg and Bremen. It has been converted to a fiboa GeoParquet file from a Shapefile that was provided by the state.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 12 Apr 2024Public
Field boundaries for Berlin / Brandenburg, Germany
Provides ca. 90,000 official field boundaries from the federal states of Berlin and Brandenburg in Germany. It has been converted to a fiboa GeoParquet file from a GeoPackage that was provided by the state.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 12 Apr 2024Public
Field Boundaries for Schleswig-Holstein (SH), Germany
Provides ca. 200,000 official field boundaries from the federal state of Schleswig-Holstein (SH) in Germany. It has been converted to a fiboa GeoParquet file from a GeoPackage that was provided by the state.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 11 Apr 2024Public
Sentinel 2 Cloud Free Temporal Mosaics
This repository holds a large (and growing!) collection of cloudless Senitnel 2 data. All bands (except B10 as this was generated from L2A) are available at their original native resolution.
Provided by Earth Genome • Published on 8 Apr 2024Public
Smart Maps Global Elevation Tiles
WEBP elevation tiles, with mapbox pixel packing, packaged in PMTiles. Source data are NASADEM and Global Map data. Pleese see https://qiita.com/T-ubu/items/c7bb5697b51f245ef163 for technical details. Observable demo is https://observablehq.com/d/652ef8ca26776146.
Provided by UN Smart Maps Group • Published on 6 Apr 2024Public
Flateau (Building footprint data in Japan)
We prepared data for each city where original Plateau (National government open data project) CityGML data are available in 2024/05. The Plateau project keeps adding more cities every year. So, hopefully we can keep adding more cities in the future. You can download data as geoparquet or geopackage formats and use our data freely under CC-BY 4.0 license.
Provided by Pacific Spatial Solutions • Published on 4 Apr 2024Public
USGS Watershed Boundary Dataset
Source: U.S. Geological Survey, National Geospatial Technical Operations Center, 2023, Watershed Boundary Dataset (WBD) - USGS National Map Downloadable Data Collection: U.S. Geological Survey
Provided by Avi Kertesz • Published on 3 Apr 2024Public
Catalog of IDR images formatted as OME-NGFF
This repository mirrors the OME-Zarr files which can be seen at https://idr.github.io/ome-ngff-samples/
Provided by Josh Moore • Published on 3 Apr 2024Public
SCAR DistAnt Ecological Model Output Repository
This repository provides access to a collection of ecological model outputs (species distribution and similar models) from Antarctica and the Southern Ocean.
Provided by Scientific Committee on Antarctic Research • Published on 3 Apr 2024Public
Field Boundaries for North Rhine-Westphalia (NRW), Germany
Provides ca. 400,000 official field boundaries from the federal state of North Rhine-Westphalia (NRW) in Germany. It has been converted to fiboa from the 2023 Shapefile that was provided by the state.
Provided by Field Boundaries for Agriculture (fiboa) • Published on 2 Apr 2024Public
Map of Biodiversity Importance, NatureServe
Demonstration of generating and serving static raster tiles with GDAL using Map of Biodiversity Importance (MOBI) data from NatureServe, (2022) https://www.natureserve.org/map-biodiversity-importance, original data files from https://geohub-natureserve.opendata.arcgis.com/search?q=mobi
Provided by Carl Boettiger • Published on 20 Mar 2024Public
Irrecoverable Carbon - Conservation International
Example static tile server for Conservation International Irrecoverable Carbon layers, https://doi.org/10.1038/s41893-021-00803-6, from https://doi.org/10.5281/zenodo.4091028
Provided by Carl Boettiger • Published on 19 Mar 2024Public
Wildfire Boundary Polygons from USGS and CalFire in cloud native formats
Cloud Native serializations of publicly available fire data from USGS and Calfire. Calfire data includes controlled burn treatments. Data through 2022
Provided by Carl Boettiger • Published on 19 Mar 2024Public
Overture Maps - Fused-partitioned
The Overture dataset, geo-partitioned with Fused for convenient access.
Provided by Fused • Published on 6 Mar 2024Public
Osiris-Comprehensive Bespoke Atmospheric Model (CBAM) reanalysis-east-africa
The Osiris CBAM dataset is a high-resolution (4 km and hourly frequency) dataset that has been shown to have improved or comparable skill with existing gridded agrometeorological datasets.
Provided by Philip Frost • Published on 12 Feb 2024Public
United States Protected Areas Database (PAD-US) 3.0
U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, Protected Areas Database of the United States (PAD-US) 3.0: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q9LQ4B.
Provided by Carl Boettiger • Published on 8 Feb 2024Public
Clay Model v0 Embeddings
Embeddings for all the training data used to create Clay Model V0. See https://clay-foundation.github.io/model/ for details.
Provided by Clay • Published on 26 Jan 2024Public
LILA BC (Labeled Information Library of Alexandria: Biology and Conservation)
LILA BC is a repository for data sets related to biology and conservation, intended as a resource for both machine learning (ML) researchers and those that want to harness ML for biology and conservation. LILA BC is intended to host data from a variety of modalities, but emphasis is placed on labeled images; we currently host over ten million labeled images.
Provided by Dan Morris • Published on 15 Jan 2024Public
Global 100m Terrestrial Human Footprint (HFP-100) v1.2
The Human Footprint (HFP) is used to monitor changing anthropogenic pressures on nature on a yearly cadence based on land cover change, population density, nighttime lights, roads, railways, and navigable rivers. This dataset updates previous version of the Human Footprint with a higher resolution and more recent time-series. Includes global maps at a 100m resolution.
Provided by Vizzuality • Published on 15 Dec 2023Public
Tasmanian 2 metre Digital Elevation Model
This a cloud optimised geotiff of a 2 m DEM covering all of Tasmania. It was produced by Mineral Resources Tasmania and is available under Creative Commons Attribution 3.0 Australia Licence with attribution to "The LIST ©State of Tasmania"
Provided by Alex Leith • Published on 29 Nov 2023Public
GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)
Accessed from [https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1](https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1). Converted to COGs with STAC metadata.
Provided by Australian Antarctic Division • Published on 23 Nov 2023Public
National Surface Depressions
A national dataset of depressions delineated from 10-m DEMs
Provided by Qiusheng Wu • Published on 15 Nov 2023Public
Non-Floodplain Wetlands
This dataset represents the extent and approximate location of Geographically Isolated Wetlands (GIWs), also known as non-floodplain wetlands (NFWs), in the conterminous United States. It is provided in cloud-native geoparquet format.
Provided by Qiusheng Wu • Published on 11 Nov 2023Public
National Wetlands Inventory
The US National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics, and distribution of US wetlands. The US Fish and Wildlife Service (FWS) is the principal US Federal agency tasked with providing information to the public on the status and trends of our Nation's wetlands. Wetlands provide a multitude of ecological, economic and social benefits.
Provided by Qiusheng Wu • Published on 10 Nov 2023Public
Ocean Carbon Dioxide Removal Atlas: Global Ocean Alkalinity Enhancement Efficiency Map
Global ocean model data for Ocean Alkalinity Enhancement experiments, covering releases in different spatial locations and times of year.
Provided by [C]Worthy • Published on 30 Oct 2023Public
Land, carbon and biodiversity data for supply chain impact calculation
Indicators of deforestation, conversion of natural ecosystems, greenhouse gas emissions, and loss of intact or high integrity ecosystems originally prepared for the LandGriffon service (https://landgriffon.com) following international standards and guidelines for reporting and target setting in the agriculture, forestry, and land use sector. Includes two layers for each indicator: impact (100m), and annualized impact per hectare of human land use (1km).
Provided by Vizzuality • Published on 27 Oct 2023Public
Overture Maps STAC
This is a demo of the [Overture Maps Data](https://overturemaps.org/download/) STAC based on https://beta.source.coop/cholmes/overture
Provided by Youssef Harby • Published on 14 Oct 2023Public
Kenya Building Footprints and Field Boundaries Dataset
This dataset contains satellite imagery collected from drones in Kenol section, Murang'a Kenya. Dataset contains the drone imagery and labelled imagery
Provided by Kenya Space Agency • Published on 4 Oct 2023Public
Energy Performance Certificate Ratings (Domestic) - England and Wales
An EPC provides an indication of how much it will cost to heat and power a property, as well as how much CO2 it emits. It also includes recommendations of energy-efficient improvements, the cost of carrying them out, and the potential savings in pounds and pence that each one could generate.
Provided by Addresscloud • Published on 3 Oct 2023Public
Google-Microsoft Open Buildings - combined by VIDA
This dataset merges Google's V3 Open Buildings and Microsoft's latest Building Footprints. It contains 2,579,035,323 footprints and is divided into 185 partitions. Each footprint is labelled with its respective source, either Google or Microsoft. It can be accessed in cloud-native geospatial formats such as GeoParquet, FlatGeobuf and PMTiles.
Provided by VIDA • Published on 15 Sep 2023Public
OS National Geographic Database - Boundaries Collection in GeoParquet
This is a trial version of Ordnance Survey's National Geographic Database Boundaries data in GeoParquet format intended for the purposes of standards development. This data is made available under the Open Government Licence 3.0 - https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3 Please be aware that this data will not be maintained.
Provided by Ordnance Survey • Published on 11 Sep 2023Public
Agri-environmental Semantic Segmentation of LUCAS landscape photos
This Dataset is a collection of street-level images extracted from the Land Use/Cover Area Frame Survey (LUCAS) dataset provided by Eurostat. This dataset is designed for semantic segmentation tasks, focusing on distinguishing between different land cover categories, including agricultural and natural landscapes. The dataset covers the survey year 2018 and includes north looking images with both full masks and partial masks, where certain areas are not delineated.
Provided by JRC LUCAS: Land Use and Coverage Area frame Survey • Published on 8 Sep 2023Public
Parquet Snapshots of the FishBase Database
Parquet snapshots of the fishbase database, https://fishbase.de
Provided by Carl Boettiger • Published on 21 Aug 2023Public
Ecological Forecasting Initiative Scored Forecast Database
A partitioned parquet database of forecasts, observations, and probablistic skill scores for forecasts submitted to the Ecological Forecasting Initiative
Provided by Ecological Forecasting Initiative • Published on 20 Aug 2023Public
Repository of all forecasts submitted to the Ecological Forecasting Initiative
Partitioned parquet database of forecasts submitted to the Ecological Forecasting Initiative. See dashboard at https://projects.ecoforecast.org/neon4cast-dashboard/
Provided by Ecological Forecasting Initiative • Published on 20 Aug 2023Public
Taxi Zones from TLC Trip Record Data
A Cloud-Native Geospatial distribution of the Taxi Zones of the TLC Trip Record Data. Includes GeoParquet and PMTiles versions of the original Shapefile.
Provided by Chris Holmes • Published on 17 Aug 2023Public
Maxar Open Data Program (ARD)
Pre and post event high-resolution satellite imagery in support of emergency planning, risk assessment, monitoring of staging areas and emergency response, damage assessment, and recovery. These images are generated using the Maxar ARD pipeline, tiled on an organized grid in analysis-ready cloud-optimized formats. This repository is a mirror of https://registry.opendata.aws/maxar-open-data/index.html
Provided by Maxar • Published on 16 Aug 2023Public
Multi-Temporal Crop Classification with HLS Imagery across CONUS
This dataset contains temporal Harmonized Landsat-Sentinel (HLS) imagery of diverse crop type and land cover classes across the Contiguous United States (CONUS) for the year 2022. The target labels are derived from USDA's Crop Data Layer (CDL). It's primary purpose is for training segmentation geospatial machine learning models. It includes 3,854 chips of 224 x 224 pixel area at 30m spatial resolution.
Provided by Clark Center for Geospatial Analytics • Published on 10 Aug 2023Public
ESA WorldCereal
The ESA WorldCereal dataset consists of farm point locations generated from 10m resolution global crop type maps (classification masks) covering maize, winter cereals and spring cereals. This version of the dataset can be partitioned by admin level 0 and 1 boundaries and is available in cloud-native geospatial format (GeoParquet).
Provided by Streambatch • Published on 10 Aug 2023Public
OpenStreetMap Open Data Products
Distributions of OpenStreetMap vector geodata in cloud-native formats.
Provided by Protomaps • Published on 9 Aug 2023Public
Overture Open Buildings
Overture provides several open datasets. This was an experimental re-distribution of their buildings dataset release from mid-2023 transformed into with 'Cloud-Native Geospatial' formats (PMTiles, GeoParquet). They now release all data in those formats, so please use https://docs.overturemaps.org/release/latest/ to get the data.
Provided by Chris Holmes • Published on 28 Jul 2023Public
Flood Extent Detection
This dataset contains synthetic aperture radar (SAR) raster imagery for various flood events acquired from the European Space Agencys Sentinel-1A and Sentinel-1B missions, providing C-Band dual-polarized imagery that spans geographical areas of interest in the United States and Bangladesh.
Provided by National Aeronautics and Space Administration • Published on 5 Jul 2023Public
Rwanda Field Boundary Competition Dataset
This dataset contains field boundaries for smallholder farms in eastern Rwanda. The Nasa Harvest program funded a team of annotators from TaQadam to label Planet imagery for the 2021 growing season for the purpose of conducting the Rwanda Field boundary detection Challenge.
Provided by National Aeronautics and Space Administration • Published on 5 Jul 2023Public
Great African Food Company Crop Type Tanzania
This dataset contains field boundaries and crop types from farms in Tanzania. Great African Food Company used Farmforce app to collect a point within each field, and recorded other properties including area of the field.
Provided by Radiant Earth • Published on 5 Jul 2023Public
Chesapeake Land Cover
This dataset contains high-resolution aerial imagery from the USDA NAIP program, high-resolution land cover labels from the Chesapeake Conservancy, low-resolution land cover labels from the USGS NLCD 2011 dataset, low-resolution multi-spectral imagery from Landsat 8, and high-resolution building footprint masks from Microsoft Bing, formatted to accelerate machine learning research into land cover mapping.
Provided by Microsoft • Published on 5 Jul 2023Public
Dalberg Data Insights Crop Type Uganda
This dataset contains crop types and field boundaries along with other metadata collected in a campaign run by Dalberg Data Insights in the end of September 2017, as close as possible to the harvest period of 2017. GeoODKapps were used to collect approximately four points per field to get widest coverage during two field campaigns.
Provided by Radiant Earth • Published on 5 Jul 2023Public
CV4A Kenya Crop Type Competition
This dataset was produced as part of the Crop Type Detection competition at the Computer Vision for Agriculture (CV4A) Workshop at the ICLR 2020 conference. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 satellites.
Provided by Radiant Earth • Published on 5 Jul 2023Public
Fusion Competition
This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Brandenburg, Germany and Western Cape, South Africa. There are crop types labels this dataset from years 2017 or 2018 and 2019, depending on the location.
Provided by European Space Agency • Published on 5 Jul 2023Public