MapBiomas Initiatives
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MapBiomas Alert is a system of validation and refinement of alerts of deforestation, degradation, and regeneration of native vegetation with high resolution images. -
MapBiomas Amazônia was created in 2017 in partnership with local institutions to produce annual land cover and land use maps for the entire Pan-Amazon region. -
MapBiomas Chaco Iniciative combines the MapBiomas method and the experience of local groups to contribute to the annual monitoring of land cover and use in the Chaqueña region. -
The MapBiomas Arid Project is a monitoring system for degraded areas in the Northeastern region of Brazil. It is an initiative of the Ministry of the Environment, financed by the GEF and UNDP, and executed by UEFS and APNE. -
MapBiomas Trinational Atlantic Forest generates a historical series of annual maps of land cover and use in the Trinational Atlantic Forest. -
MapBiomas Pampa Sudamericano is an initiative to generate a historical series of annual maps of land cover and land use in the South America Pampa. -
MapBiomas Indonesia is the first initiative outside South America to use the methods of the MapBiomas collaborative network. Its Collection 1 presents 10 land cover and use classes, covering the period of 2000 to 2019. -
MapBiomas Brazil Iniatiative presents data about land use and land cover in the brazilian territory, covering the period of 1985 to 2021. -
The MapBiomas Peru presents land cover and land use data from 1985 to 2021 for the entire peruvian territory and its 4 biomes. -
MapBiomas Fire is presents fire scars maps in Brazil based on Landsat satellite mosaic images with a spatial resolution of 30 meters, covering the period from 1985 to 2022. -
The initiative presents data on the water surface dynamic in Brazil and Amazon Watershed, covering the period from 1985 to 2022, based on Landsat imagery with 30 meters resolution and cloud cover less than 70 % -
MapBiomas Bolivia presents data on land use and land cover for the period from 1985 to 2021 for the entire Bolivian territory.