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Visibility: Public
Owner: Nissim Lebovits
Created: 17 Aug 2026
Last Updated: 17 Aug 2026

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28 days

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9,660

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3.4 GB

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29 Jul 2026

25 Aug 2026

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Moldova Geodata

RO. Catalog cloud-native cu date selectate din geoportalul național geodata.gov.md. Româna este limba de referință. Textele în rusă și engleză sunt traduceri. Catalogul nu este o publicație oficială a AGCC.

RU. Облачный каталог избранных данных национального геопортала geodata.gov.md. Румынский текст является основным; русский и английский тексты — переводы. Каталог не является официальной публикацией AGCC.

EN. A cloud-native catalog of selected data from Moldova’s national geoportal, geodata.gov.md. Romanian is authoritative; Russian and English are translations. This is not an official AGCC publication.

Object Preview

AGENTS.md — Corine Land Cover 2018

Despre date / О данных / About the data

RO. Corine Land Cover 2018. Conține 15 962 poligoane extrase din spațiul de lucru corine al serverului geodata.gov.md prin WFS 2.0.0 la data de 2026-08-16. Coordonatele sunt păstrate în sistemul sursă MOLDREF99 / Moldova TM (EPSG:4026).

RU. Corine Land Cover 2018. Содержит 15 962 полигонов, извлечённых из рабочего пространства corine сервера geodata.gov.md через WFS 2.0.0 от 2026-08-16. Координаты сохранены в исходной системе MOLDREF99 / Moldova TM (EPSG:4026).

EN. Corine Land Cover 2018. Holds 15 962 polygons extracted from the corine workspace of geodata.gov.md over WFS 2.0.0 on 2026-08-16. Coordinates are kept in the source system, MOLDREF99 / Moldova TM (EPSG:4026).

Overview

Extracted from corine:clc_2018_aggregate over WFS 2.0.0 on 2026-08-16, matching the server's own count.

Coordinates are MOLDREF99 / Moldova TM (EPSG:4026): projected, metric, unreprojected. ST_Area returns square metres directly.

Access

Schema

Column	Type	Notes
`id`	VARCHAR	Unique across all 15,962 rows
`code`	BIGINT	CLC code, 23 distinct values present. Three digits, where each digit is a level of the hierarchy
`level_1`	VARCHAR	Five classes: agricultural, forest and semi-natural, artificial, water bodies, wetlands
`level_2`	VARCHAR	13 classes
`level_3`	VARCHAR	23 classes, matching `code` one to one
`geometry`	GEOMETRY(EPSG:4026)	Polygons in metres
`bbox`	STRUCT	Bounding box for spatial pruning

Level 1, measured

Class	Polygons
AGRICULTURAL AREAS	9,728
FOREST AND SEMI-NATURAL AREAS	3,956
ARTIFICIAL SURFACES	1,720
WATER BODIES	312
WETLANDS	246

The most common level 3 classes are transitional woodland-scrub (2,854), pastures (2,704), fruit trees and berry plantations (1,890), non-irrigated arable land (1,836), and complex cultivation patterns (1,623).

Data quality

Only 23 of the CLC nomenclature's 44 classes occur in Moldova. The catalog's default style was trimmed to match: it shipped with 45 legend entries over 23 present values, so half the legend described land cover the map could never show.
code and level_3 are redundant. Group on either; they agree exactly.
Polygon counts are not areas. A single large agricultural polygon and a small urban one count the same, so weight by ST_Area(geometry) for anything about land coverage.

Example queries

Land cover by area, which is usually the question:

Detailed classes within agriculture:

corine_clc_2000_aggregate and corine_clc_2023_aggregate carry the same schema for their years, and corine_change_2018_2023_aggregate and corine_change_2018_2000_aggregate hold the change polygons directly, which is cheaper and safer than differencing two years yourself.

For land cover by raion, join to cadastru_data_uat2. Both are EPSG:4026, so no transform is needed:

ST_Intersection rather than centroid containment here, because land cover polygons are large and routinely straddle a raion boundary. Clipping gives the area actually inside each raion instead of assigning the whole polygon to one.

The catalog's AGENTS.md covers what applies everywhere.

Name: AGENTS.md
Size: 4.56 KB
Content Type: text/markdown; charset=utf-8
Last Modified: 17 Aug 2026
Source URL: https://data.source.coop/nlebovits/moldova-geodata/corine/clc_2018_aggregate/AGENTS.md
Cloud URI: s3://us-west-2.opendata.source.coop/nlebovits/moldova-geodata/corine/clc_2018_aggregate/AGENTS.md

Download

AGENTS.md — Corine Land Cover 2018

Despre date / О данных / About the data

Overview

Extracted from corine:clc_2018_aggregate over WFS 2.0.0 on 2026-08-16, matching the server's own count.

Coordinates are MOLDREF99 / Moldova TM (EPSG:4026): projected, metric, unreprojected. ST_Area returns square metres directly.

Access

Schema

Column	Type	Notes
`id`	VARCHAR	Unique across all 15,962 rows
`code`	BIGINT	CLC code, 23 distinct values present. Three digits, where each digit is a level of the hierarchy
`level_1`	VARCHAR	Five classes: agricultural, forest and semi-natural, artificial, water bodies, wetlands
`level_2`	VARCHAR	13 classes
`level_3`	VARCHAR	23 classes, matching `code` one to one
`geometry`	GEOMETRY(EPSG:4026)	Polygons in metres
`bbox`	STRUCT	Bounding box for spatial pruning

Level 1, measured

Class	Polygons
AGRICULTURAL AREAS	9,728
FOREST AND SEMI-NATURAL AREAS	3,956
ARTIFICIAL SURFACES	1,720
WATER BODIES	312
WETLANDS	246

Data quality

Only 23 of the CLC nomenclature's 44 classes occur in Moldova. The catalog's default style was trimmed to match: it shipped with 45 legend entries over 23 present values, so half the legend described land cover the map could never show.
code and level_3 are redundant. Group on either; they agree exactly.
Polygon counts are not areas. A single large agricultural polygon and a small urban one count the same, so weight by ST_Area(geometry) for anything about land coverage.

Example queries

Land cover by area, which is usually the question:

Detailed classes within agriculture:

For land cover by raion, join to cadastru_data_uat2. Both are EPSG:4026, so no transform is needed:

The catalog's AGENTS.md covers what applies everywhere.

1INSTALL spatial; LOAD spatial; INSTALL httpfs; LOAD httpfs;
2
3SELECT code, level_3, ST_Area(geometry) / 1e6 AS km2
4FROM read_parquet(
5  'https://data.source.coop/nlebovits/moldova-geodata/'
6  || 'corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet')
7LIMIT 10;

1INSTALL spatial; LOAD spatial; INSTALL httpfs; LOAD httpfs;
2
3SELECT code, level_3, ST_Area(geometry) / 1e6 AS km2
4FROM read_parquet(
5  'https://data.source.coop/nlebovits/moldova-geodata/'
6  || 'corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet')
7LIMIT 10;

1INSTALL spatial; LOAD spatial;
2
3SELECT level_1,
4       round(sum(ST_Area(geometry)) / 1e6, 1) AS km2,
5       count(*) AS polygons
6FROM read_parquet('corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet')
7GROUP BY level_1
8ORDER BY km2 DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT level_1,
4       round(sum(ST_Area(geometry)) / 1e6, 1) AS km2,
5       count(*) AS polygons
6FROM read_parquet('corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet')
7GROUP BY level_1
8ORDER BY km2 DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT level_3, round(sum(ST_Area(geometry)) / 1e6, 1) AS km2
4FROM read_parquet('corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet')
5WHERE level_1 = 'AGRICULTURAL AREAS'
6GROUP BY level_3
7ORDER BY km2 DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT level_3, round(sum(ST_Area(geometry)) / 1e6, 1) AS km2
4FROM read_parquet('corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet')
5WHERE level_1 = 'AGRICULTURAL AREAS'
6GROUP BY level_3
7ORDER BY km2 DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT u.name, c.level_1,
4       round(sum(ST_Area(ST_Intersection(c.geometry, u.geometry))) / 1e6, 1) AS km2
5FROM read_parquet('corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet') c
6JOIN read_parquet('cadastru/uat2/cadastru_data_uat2.parquet') u
7  ON ST_Intersects(c.geometry, u.geometry)
8GROUP BY u.name, c.level_1
9ORDER BY u.name, km2 DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT u.name, c.level_1,
4       round(sum(ST_Area(ST_Intersection(c.geometry, u.geometry))) / 1e6, 1) AS km2
5FROM read_parquet('corine/clc_2018_aggregate/corine_clc_2018_aggregate.parquet') c
6JOIN read_parquet('cadastru/uat2/cadastru_data_uat2.parquet') u
7  ON ST_Intersects(c.geometry, u.geometry)
8GROUP BY u.name, c.level_1
9ORDER BY u.name, km2 DESC;

Moldova Geodata

AGENTS.md — Corine Land Cover 2018

Despre date / О данных / About the data

Overview

Access

Schema

Level 1, measured

Data quality

Example queries

Related collections

AGENTS.md — Corine Land Cover 2018

Despre date / О данных / About the data

Overview

Access

Schema

Level 1, measured

Data quality

Example queries

Related collections