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Products

All MapBiomas products are constantly evolving. It is divided in Collections:

  • Collection 1 - published in April 2016 with simplified legend, including 7 classes and covering the period 2008-2015

  • Collection 2 - published in April 2017, including 13 legend classes and covering the period 2000-2016
    • Collection 2.3, published in January 2018, with improvements from random forest application

  • Collection 3 - published in August 2018, including 19 legend classes and covering the period 1985-2017
    • Collection 3.1, published in April 2019, with improvements in classification

  • Collection 4 - published in August 2019, including 19 legend classes and covering the period 1985-2018
    • Collection 4.1, published in March 2020, with improvements in classification

  • Collection 5 - published in August 2020, including 21 legend classes and covering the period 1985-2019

  • Collection 6 - published in August 2021, including 25 legend classes and covering the period 1985-2020

  • Collection 7 - published in August 2022, including 27 legend classes and covering the period 1985-2021

Warning:

  • MapBiomas Collection maps are an evolving product. When using the data make sure that you are always using the latest version available.
  • MapBiomas maps have their best application in scales up to 1: 100,000. Although it is possible to view them on a 1: 50,000 scale, we do not recommend using them on this scale.

Product to all public

  • Land use and land cover maps: maps in the matrix format (30x30m pixel). The legend of these maps, as well as the covered period, evolve throughout the collections.
  • Fire scars maps: maps based on mosaics of images from Landsat satellites with a spatial resolution of 30 meters. The mapping period was from 1985 to 2020, with monthly and annual data on fire scars covering the entire Brazilian territory.
  • Water surface maps: maps of water dynamic surface and water bodies in Brazil. They were made with Landsat satellite images from the period 1985 to 2021, with 70% less cloud cover, at the spatial resolution of 30 meters. The mapping was conducted at the sub-pixel scale, with spectral mixture model (SMM) and empirical classification rules based on fuzzy logic.
  • Satellite images mosaics of each year of the time series, with a spatial resolution of 30m. The mosaics are formed by the composition of pixels in each set of images for a certain time period (e.g. filtering the clouds). The periods of the year in which the images are selected vary by region (e.g. wet season in the Caatinga). Each mosaic contains 28 layers of information including spectral bands, fractions and indices (e.g. NDFI, NDVI, etc.). Mosaics can be accessed directly in Google Earth Engine for processing or download.
  • Public Web Platform with images, maps and statistics of the MapBiomas collections.

Products for specialists or developers

  • Methodological notes explain the whole working method including the specificities of each biome and cross-cutting theme (the first complete version available in 2016).
  • Collection of scripts in GitHub: allows multiplication and adaptation to other contexts.
  • PlugIns for QGis - allow access to MapBiomas data directly in QGIS
  • Access and Download Tools on Google Earth Engine - allows you to access and download MapBiomas data for different territorial sections.
  • Technical Notes: notes produced by the project team regarding specific questions for public interest.