FAQ

  • expand_more What is MapBiomas?

    The MapBiomas project is an initiative of the Climate Observatory and a collaboration network that involves universities, NGOs and technology companies with the purpose of mapping annually the land cover and use in Brazil and monitoring changes in the territory.

  • expand_more What is Mapbiomas Chaco?

    MapBiomas Chaco is an initiative that emerged as a continuation of the initiative in Brazil that involves a collaborative network of specialists from Argentina, Brazil and Paraguay, in topics such as land use, satellite remote sensing, GIS and programming. It uses cloud processing and automated classifiers developed and operated from the Google Earth Engine platform to generate a historical series of annual maps of land use and cover in the Gran Chaco Americano.

  • expand_more Who produces MapBiomas Chaco maps?

    MapBiomas Chaco involves researchers and specialists in remote sensing, GIS, informatics, biomes and land uses in each of the participating countries (Argentina and Paraguay). The team from Argentina is coordinated by INTA and the team from Paraguay through GUYRA. Both teams work in coordination by processing the information in the cloud through the Google Earth Engine platform.

  • expand_more How can I download maps from MapBiomas Chaco?

    The maps can be downloaded directly on the platform through the link: LINK

    Do not forget to download the codes of the legend in: LINK

    It is also possible to download the data directly from Google Earth Engine when specific territorial or temporary breaks are needed.

    In Google Earth Engine it is possible to access to all Landsat Mosaic data and transition maps. To obtain the IDs of the MapBiomas Chaco collections in Google Earth Engine, access: LINK

  • expand_more Why are maps shown only in raster format?

    The land cover and use maps of MapBiomas Chaco are done through the pixel by pixel processing of temporal series of Landsat images (Raster 30 m pixels).

  • expand_more Can I download the data in Shapefile format?

    There is no such possibility in the MapBiomas Chaco platform. The vectorization of maps is extremely expensive and impractical for the whole territory. The recommended solution, if you want to work with vector, is to download the data, make the territorial or spatial cut of your interest and then vectorize with your favorite software.

  • expand_more MapBiomas Chaco data are public?

    Yes, the MapBiomas Chaco data are public and free for non-commercial use or for public interest purposes.

  • expand_more Is it possible to work with MapBiomas Chaco data in the cloud without having to download them?

    Yes, the MapBiomas Chaco collections are available as layers in the Google Earth Engine platform and can be accessed, processed and analyzed directly on the platform without the need to download the data. To obtain the IDs of the MapBiomas Chaco collections in the Google Earth engine, go to: LINK

  • expand_more How can I quote the MapBiomas Chaco data?

    The data of MapBiomas Chaco are public and free, simply referring to the source in the following format:

    "MapBiomas Chaco Project - Collection [version] of the annual maps of coverage and land use, accessed at [date] through the link: [LINK]".

    The MapBiomas project - is a multi-institutional initiative to generate annual land use maps based on automatic classification processes applied to satellite images. The complete description of the project can be found at http: // -................

  • expand_more How can I access MapBiomas Chaco data in Google Earth Engine?

    It is necessary to have an account in Google Earth Engine (GEE), which can be registered through the following link: https://earthengine.google.com

    By accessing the GEE Code Editor (https://code.earthengine.google.com) you can start scripts to view and process data. In the link you will find examples of scripts to access the MapBiomas Chaco data in Google Earth Engine. LINK

  • expand_more Where do I find the detailed description of the legend and the meaning of each caption code?

    The detailed description of the legend is available for download at: http://chaco.mapbiomas.org/codigos-de-la-leyenda

  • expand_more How can I access MapBiomas Chaco data in Google Earth Engine?

    It is necessary to have an account in Google Earth Engine (GEE), which can be registered through the following link: https://earthengine.google.com

    By accessing the GEE Code Editor (https://code.earthengine.google.com) you can start scripts to view and process data. In the link you will find examples of scripts to access the MapBiomas Chaco data in Google Earth Engine. LINK

  • expand_more Can I download tabular and statistical data of the land use land cover maps? To which territorial subsets?

    Yes, land use land cover statistics, as well as transitional matrices for the biomes (the whole chaco and argentinian yungas) countries, states, and departments are available for download at: http://chaco.mapbiomas.org/estadistica

  • expand_more How to download maps from a state or department?

    Inside the MapBiomas Chaco platform, the maps are available and ready to use clipped by Biomes. For states and municipalities subsets, it can be generated inside Google Earth Engine, by accessing the script available at link. You must select the state and county and years of interest and export it to your Google Drive folder.

  • expand_more How is the area of MapBiomas Chaco raster data calculated?

    Landsat has an average resolution of 30m, so it is common to associate the area of ​​a pixel to 900 m2. But, since the original MapBiomas Chaco data is created following the GEE standard representation (Lat/Long and WGS84), it does not use a native equal-area projection. Thus, the distance from the target to the Equator Line influences the pixel size. Therefore, in the continental scale of Brazil area calculation counting the pixels and multiplying by 900 m2 should be avoided.
    In MapBiomas Chaco the calculation is performed within Google Earth Engine we apply the function ee.Image.pixelArea() that generates an image in which the value of each pixel is the area of that pixel in square meters, taking into consideration eventual cartographic distortions.

  • expand_more Which maps were used as a reference for the mapping?

    You can access the description of all the reference maps used by MapBiomas Chaco in: LINK