From the Landsat mosaics, the classifications that result in land cover and land use maps are carried out for each year. Within the logic proposed by MapBiomas the maps will be updated every time there is an improvement in the classification algorithms. The classification methodology is dynamic and procedural, with the purpose of improving the classification of each typology.

Important: when composing a single mosaic or calculating statistics on maps it should be noted that:

  • For area calculation, it is necessary to use an appropriate metric projection. 
  • Until Collection 4.0, the biome limits were adopted by the original scale project published by the IBGE from 1: 5,000,000 to 1: 1,000,000 from the territorial boundaries maps of Brazil 1:250,000 (IBGE) and phytophysiognomies 1: 1,000,000, also of IBGE. Since Collection 4.1. the new limits of biomes on 1:250.000 scale produced by IBGE (2020) were adopted. The boundary shapefile is available for download along with reference maps.
  • The RGB color palette for each legend class is available in the file, as well as for use in ArcMap or QGIS.

The most up-to-date MapBiomas Collection can always be accessed in five ways:

1. browsing on line through the MapBiomas dashboardhttps://plataforma.brasil.mapbiomas.org 

Access asset de dados no Google Earth Engine: ID: projects/mapbiomas-workspace/public/collection8/mapbiomas_collection80_integration_v1

3. direct access to QGis through the plugin: (We are also already preparing one for ArcGis).

4. Download of Collection 8 land cover and use maps for all Brazil in GeoTiff format (one map for each year). For the year of 2022: https://storage.googleapis.com/mapbiomas-public/initiatives/brasil/collection_8/lclu/coverage/brasil_coverage_2022.tif. For the other years, just change the final year in the link. Available from 1985 to 2022.

5. Download by state, biome, municipality and any other desired geometry using Toolkits prepared in Google Earth Engine (GEE). Access the tutorial video to learn how to use the toolkit. Instructions are also available on Github. The following data are currently available:

   Land Cover and Land Use Legend   

  Transition Maps Legend

  The transition maps have codes calculated by joining the first and second year codes, according to the formula below:

  (year1 x 100) + year2

  This means:

  •   303 = forest that remained forest
  •   315 = forest that has been converted to pasture
  •   1515 = pasture that remained pasture
  •   1524 = pasture that has been converted to urban infrastructure


  Mosaic Quality Caption

 Obs. All data are downloaded with a .CSV table (comma separated text) with the calculated areas. This script is an example of how to perform the Area Calculation in the GHG.     

  It allows to download maps and statistics of deforestation and regeneration. The value of each pixel is calculated using the following formula:

  (“Classe do desmatamento”) * 100 + (“usage class id”)

  This means:

  •        115 = anthropic in the pasture class
  •        203 = primary vegetation in the forest class
  •        212 = primary vegetation in the class of countryside formations
  •        303 = secondary vegetation in the forest class
  •        404 = suppression of primary vegetation of the savanna class
  •        503 = recovery for secondary vegetation for forest class
  •        604 = suppression of secondary savanna vegetation
  •        703 = transition noise (all classes above 700 should be disregarded)

Também é possível fazer o download dos dados de Desmatamento e vegetação secundária em formato GeoTiff (um mapa para cada ano). Para o ano 2021: https://storage.googleapis.com/mapbiomas-public/initiatives/brasil/collection_8/deforest-secveg-annual/brasil_desmat_vsec_anual_2021.tif. Para os demais anos basta trocar o ano final do link. Disponível de 1987 a 2021.

Idade da vegetação secundária:
https://storage.googleapis.com/mapbiomas-public/initiatives/brasil/collection_8/secveg-age/sec_veg_age_2021.tif

the identification of codes for the legend can be seen mining data statistics table legend tab Collection 8.

Data available:

  1. Área queimada anual – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_annual_burned_v1
  2. Cobertura queimada anual – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_annual_burned_coverage_v1
  3. Área queimada mensal – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_monthly_burned_v1
  4. Área queimada anual por tamanho de cicatriz – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_annual_burned_scar_size_range_v1
  5. Área queimada acumulada – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_accumulated_burned_v1
  6. Cobertura queimada acumulada – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_accumulated_burned_coverage_v1
  7. Recorrência da área queimada anual – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_fire_frequency_v1
  8. Ano do último fogo – ID:projects/mapbiomas-public/assets/brazil/fire/collection3/mapbiomas_fire_collection3_year_last_fire_v1

  Explanation of the legend of meaning of pixel value here.

Data available:

  1. Vigor da pastagem – Baixo
  2. Vigor da pastagem – Médio
  3. Vigor da pastagem – Alto

Data available:

  1. Pivot Irrigation 
  2. Irrigated rice
  3. Other irrigation system