MapBiomas Land Use and Land Cover - Bolivia V1.0

projects/mapbiomas-public/assets/bolivia/lulc/v1
info

This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine. Contact contato@mapbiomas.org for bugs or view more datasets from the MapBiomas Catalog. Learn more about Publisher datasets.

Catalog Owner
MapBiomas
Dataset Availability
1985-01-01T00:00:00Z–2024-12-31T00:00:00Z
Dataset Producer
Contact
contato@mapbiomas.org
Earth Engine Snippet
ee.ImageCollection("projects/mapbiomas-public/assets/bolivia/lulc/v1")
Tags
landsat-derived landuse-landcover mapbiomas-public publisher-dataset

Description

MapBiomas Land Use and Land Cover (LULC) dataset for Bolivia is produced annually by the MapBiomas Project using Landsat satellite imagery and machine learning classification techniques. The dataset provides consistent annual land cover maps at 30-meter resolution covering the period from 1985 to 2024.

Bolivia's territory spans several major biomes, including the Amazon rainforest, Cerrado, Chaco, Pantanal, and the Andean highlands (Altiplano). This diversity is reflected in the classification legend, which includes classes specific to Andean ecosystems such as Andean grassland and shrubland and Flooded Andean grassland and shrubland.

Each image in the collection contains one band named "classification", with integer values representing categorical land cover classes for that year. The classification is based on Landsat 5 (TM), Landsat 7 (ETM+), Landsat 8 and 9 (OLI/TIRS) surface reflectance data, preprocessed to generate annual cloud-free composites. The classification process uses automated decision trees trained with reference samples and validated by regional experts.

For more information, classification legend, methodology, and accuracy assessments, visit the MapBiomas website.

Bands

Bands

Pixel size: 30 meters (all bands)

Name Pixel Size Description
classification 30 meters

Land use and land cover classification, with integer values corresponding to MapBiomas Bolivia legend classes.

classification Class Table

Value Color Description
1 #1f8d49

Forest Formation

3 #1f8d49

Forest

4 #7dc975

Open Forest

6 #026975

Flooded Forest

10 #d6bc74

Grassland and shrubland

11 #519799

Flooded grassland/shrubland

12 #d6bc74

Grassland/shrubland

13 #d89f5c

Other non-forest natural formation

14 #ffefc3

Farming

15 #edde8e

Pasture

18 #e974ed

Agriculture

21 #ffefc3

Mosaic of Uses

22 #d4271e

Non-vegetated area

23 #ffa07a

Beach, dune and sandbank

24 #d4271e

Urban Infrastructure

25 #db4d4f

Other non-vegetated anthropic area

26 #2532e4

Water

27 #ffffff

Not observed

29 #ffaa5f

Rocky outcrop

30 #9c0027

Mining

31 #091077

Aquaculture

33 #2532e4

River and lake

34 #93dfe6

Glacier

39 #f5b3c8

Soybean

61 #f5d5d5

Salt flat

66 #a89358

Scrubland

68 #e97a7a

Other non-vegetated natural area

72 #c1799c

Other crops

81 #c8c099

Andean grassland and shrubland

82 #66b2a3

Flooded Andean grassland and shrubland

Image Properties

Image Properties

Name Type Description
year INT

Year of the land use and land cover classification.

version STRING

Version of the land use and land cover classification.

collection_id DOUBLE

Collection identifier of the land use and land cover classification.

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Souza et al. (2020) - Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine - Remote Sensing, Volume 12, Issue 17, 10.3390/rs12172735.

    doi:10.3390/rs12172735

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

/**
  MapBiomas Bolivia - Land Use and Land Cover V1
*/

var assetPath = 'projects/mapbiomas-public/assets/bolivia/lulc/v1';

var year = 2024;

var collection = ee.ImageCollection(assetPath)
  .filter(ee.Filter.eq('year', year));

var visParams = {
  min: 0,
  max: 82,
  palette: [
    '000000',  // [0] --
    '1f8d49',  // [1] Forest Formation
    '000000',  // [2] --
    '1f8d49',  // [3] Forest
    '7dc975',  // [4] Open Forest
    '000000',  // [5] --
    '026975',  // [6] Flooded Forest
    '000000',  // [7] --
    '000000',  // [8] --
    '000000',  // [9] --
    'd6bc74',  // [10] Grassland and shrubland
    '519799',  // [11] Flooded grassland/shrubland
    'd6bc74',  // [12] Grassland/shrubland
    'd89f5c',  // [13] Other non-forest natural formation
    'ffefc3',  // [14] Farming
    'edde8e',  // [15] Pasture
    '000000',  // [16] --
    '000000',  // [17] --
    'e974ed',  // [18] Agriculture
    '000000',  // [19] --
    '000000',  // [20] --
    'ffefc3',  // [21] Mosaic of Uses
    'd4271e',  // [22] Non-vegetated area
    'ffa07a',  // [23] Beach, dune and sandbank
    'd4271e',  // [24] Urban Infrastructure
    'db4d4f',  // [25] Other non-vegetated anthropic area
    '2532e4',  // [26] Water
    'ffffff',  // [27] Not observed
    '000000',  // [28] --
    'ffaa5f',  // [29] Rocky outcrop
    '9c0027',  // [30] Mining
    '091077',  // [31] Aquaculture
    '000000',  // [32] --
    '2532e4',  // [33] River and lake
    '93dfe6',  // [34] Glacier
    '000000',  // [35] --
    '000000',  // [36] --
    '000000',  // [37] --
    '000000',  // [38] --
    'f5b3c8',  // [39] Soybean
    '000000',  // [40] --
    '000000',  // [41] --
    '000000',  // [42] --
    '000000',  // [43] --
    '000000',  // [44] --
    '000000',  // [45] --
    '000000',  // [46] --
    '000000',  // [47] --
    '000000',  // [48] --
    '000000',  // [49] --
    '000000',  // [50] --
    '000000',  // [51] --
    '000000',  // [52] --
    '000000',  // [53] --
    '000000',  // [54] --
    '000000',  // [55] --
    '000000',  // [56] --
    '000000',  // [57] --
    '000000',  // [58] --
    '000000',  // [59] --
    '000000',  // [60] --
    'f5d5d5',  // [61] Salt flat
    '000000',  // [62] --
    '000000',  // [63] --
    '000000',  // [64] --
    '000000',  // [65] --
    'a89358',  // [66] Scrubland
    '000000',  // [67] --
    'e97a7a',  // [68] Other non-vegetated natural area
    '000000',  // [69] --
    '000000',  // [70] --
    '000000',  // [71] --
    'c1799c',  // [72] Other crops
    '000000',  // [73] --
    '000000',  // [74] --
    '000000',  // [75] --
    '000000',  // [76] --
    '000000',  // [77] --
    '000000',  // [78] --
    '000000',  // [79] --
    '000000',  // [80] --
    'c8c099',  // [81] Andean grassland and shrubland
    '66b2a3',  // [82] Flooded Andean grassland and shrubland
  ],
};

Map.addLayer(collection, visParams, 'MapBiomas Bolivia LULC ' + year);
Map.centerObject(collection, 6);
Open in Code Editor