MapBiomas Land Use and Land Cover - Ecuador V1.0

projects/mapbiomas-public/assets/ecuador/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/ecuador/lulc/v1")
Tags
landsat-derived landuse-landcover mapbiomas-public publisher-dataset

Description

MapBiomas Land Use and Land Cover (LULC) dataset for Ecuador 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.

Ecuador's territory encompasses four distinct natural regions: the Amazon (Oriente), the Andes highlands (Sierra), the Pacific Coast (Costa), and the Galapagos Islands. This geographic diversity is reflected in the classification legend, which includes classes specific to Ecuadorian ecosystems such as Andean herbaceous and shrubby vegetation, flooded Andean herbaceous, mangrove, and banana plantations.

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 Ecuador legend classes.

classification Class Table

Value Color Description
1 #1f8d49

Natural forest

3 #1f8d49

Forest

4 #7dc975

Open forest

5 #04381d

Mangrove

6 #026975

Flooded forest

9 #7a5900

Silviculture

10 #d6bc74

Non-forest natural formation

11 #519799

Non forest wetland

12 #d6bc74

Grassland

13 #d89f5c

Other non-forest natural formation

14 #ffefc3

Farming and silviculture

21 #ffefc3

Mosaic of uses

22 #d4271e

Non-vegetated area

23 #ffa07a

Beach, dune and sand spot

24 #d4271e

Urban infrastructure

25 #db4d4f

Other anthropic non-vegetated area

26 #2532e4

Water

27 #ffffff

Not observed

29 #ffaa5f

Rocky outcrop

30 #9c0027

Mining

31 #091077

Aquaculture

33 #2532e4

River, lake and ocean

34 #93dfe6

Glacier

68 #e97a7a

Other natural non-vegetated area

74 #be83f7

Banana

81 #dfeb62

Andean Herbaceous and Shrubby Vegetation

82 #6fc179

Flooded Andean Herbaceous

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 Ecuador - Land Use and Land Cover V1
*/

var assetPath = 'projects/mapbiomas-public/assets/ecuador/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] Natural forest
    '000000',  // [2] --
    '1f8d49',  // [3] Forest
    '7dc975',  // [4] Open forest
    '04381d',  // [5] Mangrove
    '026975',  // [6] Flooded forest
    '000000',  // [7] --
    '000000',  // [8] --
    '7a5900',  // [9] Silviculture
    'd6bc74',  // [10] Non-forest natural formation
    '519799',  // [11] Non forest wetland
    'd6bc74',  // [12] Grassland
    'd89f5c',  // [13] Other non-forest natural formation
    'ffefc3',  // [14] Farming and silviculture
    '000000',  // [15] --
    '000000',  // [16] --
    '000000',  // [17] --
    '000000',  // [18] --
    '000000',  // [19] --
    '000000',  // [20] --
    'ffefc3',  // [21] Mosaic of uses
    'd4271e',  // [22] Non-vegetated area
    'ffa07a',  // [23] Beach, dune and sand spot
    'd4271e',  // [24] Urban infrastructure
    'db4d4f',  // [25] Other anthropic non-vegetated 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, lake and ocean
    '93dfe6',  // [34] Glacier
    '000000',  // [35] --
    '000000',  // [36] --
    '000000',  // [37] --
    '000000',  // [38] --
    '000000',  // [39] --
    '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] --
    '000000',  // [61] --
    '000000',  // [62] --
    '000000',  // [63] --
    '000000',  // [64] --
    '000000',  // [65] --
    '000000',  // [66] --
    '000000',  // [67] --
    'e97a7a',  // [68] Other natural non-vegetated area
    '000000',  // [69] --
    '000000',  // [70] --
    '000000',  // [71] --
    '000000',  // [72] --
    '000000',  // [73] --
    'be83f7',  // [74] Banana
    '000000',  // [75] --
    '000000',  // [76] --
    '000000',  // [77] --
    '000000',  // [78] --
    '000000',  // [79] --
    '000000',  // [80] --
    'dfeb62',  // [81] Andean Herbaceous and Shrubby Vegetation
    '6fc179',  // [82] Flooded Andean Herbaceous
  ],
};

Map.addLayer(collection, visParams, 'MapBiomas Ecuador LULC ' + year);
Map.centerObject(collection, 7);
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