Source Cooperative is a Radiant Earth project

American Rivers Datasets · Carl Boettiger · Source Cooperative | Source Cooperative

README

Nationwide Rivers Inventory 2024 (NRI)

Free-flowing river segments with outstanding values assessed for potential Wild and Scenic River designation, maintained by the National Park Service. 2024 update with expanded coverage.

4,496 segments | LineString | National (including Alaska, Hawaii, Puerto Rico)

Source: NPS Nationwide Rivers Inventory

Files

Format	URL
GeoParquet	`https://s3-west.nrp-nautilus.io/public-rivers/american-rivers/nri-2024.parquet`
PMTiles	`https://s3-west.nrp-nautilus.io/public-rivers/american-rivers/nri-2024.pmtiles`
H3 hex (res 8)	`https://s3-west.nrp-nautilus.io/public-rivers/american-rivers/nri-2024/hex/h0=*/data_0.parquet`

PMTiles source-layer name: nri-2024

Line features were hexed to H3 resolution 8 by buffering each segment by the H3 cell circumradius before polyfill.

DuckDB Example

MapLibre GL JS Example

1INSTALL spatial; LOAD spatial;
2INSTALL httpfs; LOAD httpfs;
3SET s3_endpoint='s3-west.nrp-nautilus.io';
4SET s3_url_style='path';
5SET s3_use_ssl=false;
6
7-- Segments by study type and eligibility
8SELECT Study_Type, In_Eligibl, COUNT(*) AS n
9FROM read_parquet('s3://public-rivers/american-rivers/nri-2024.parquet')
10GROUP BY Study_Type, In_Eligibl ORDER BY n DESC;
11
12-- Segments added since 2016 (in NRI-2024 but not NRI-2016 by count)
13-- Note: compare NRI datasets to identify new segments
14SELECT State1, COUNT(*) AS n
15FROM read_parquet('s3://public-rivers/american-rivers/nri-2024.parquet')
16GROUP BY State1 ORDER BY n DESC LIMIT 15;

1INSTALL spatial; LOAD spatial;
2INSTALL httpfs; LOAD httpfs;
3SET s3_endpoint='s3-west.nrp-nautilus.io';
4SET s3_url_style='path';
5SET s3_use_ssl=false;
6
7-- Segments by study type and eligibility
8SELECT Study_Type, In_Eligibl, COUNT(*) AS n
9FROM read_parquet('s3://public-rivers/american-rivers/nri-2024.parquet')
10GROUP BY Study_Type, In_Eligibl ORDER BY n DESC;
11
12-- Segments added since 2016 (in NRI-2024 but not NRI-2016 by count)
13-- Note: compare NRI datasets to identify new segments
14SELECT State1, COUNT(*) AS n
15FROM read_parquet('s3://public-rivers/american-rivers/nri-2024.parquet')
16GROUP BY State1 ORDER BY n DESC LIMIT 15;

1map.addSource('nri-2024', {
2  type: 'vector',
3  url: 'pmtiles://https://s3-west.nrp-nautilus.io/public-rivers/american-rivers/nri-2024.pmtiles'
4});
5
6map.addLayer({
7  id: 'nri-2024-lines',
8  type: 'line',
9  source: 'nri-2024',
10  'source-layer': 'nri-2024',
11  paint: {
12    'line-color': [
13      'match', ['get', 'Classifica'],
14      'Wild', '#1a6b3c',
15      'Scenic', '#2196F3',
16      'Recreational', '#FF9800',
17      '#9C27B0'
18    ],
19    'line-width': 2,
20    'line-opacity': 0.8
21  }
22});

1map.addSource('nri-2024', {
2  type: 'vector',
3  url: 'pmtiles://https://s3-west.nrp-nautilus.io/public-rivers/american-rivers/nri-2024.pmtiles'
4});
5
6map.addLayer({
7  id: 'nri-2024-lines',
8  type: 'line',
9  source: 'nri-2024',
10  'source-layer': 'nri-2024',
11  paint: {
12    'line-color': [
13      'match', ['get', 'Classifica'],
14      'Wild', '#1a6b3c',
15      'Scenic', '#2196F3',
16      'Recreational', '#FF9800',
17      '#9C27B0'
18    ],
19    'line-width': 2,
20    'line-opacity': 0.8
21  }
22});