Maps produced from pixel-by-pixel classification of Landsat images, segmented by biome, state, and municipality.
Counting the number of Land Cover and Land Use classes that a pixel was classified into during the selected temporal extent.
Dados anuais de supressão de florestas e vegetação natural não florestal, gerados a partir da análise do histórico de pixels, com resolução espacial de 30 m.
Mapas anuais e da idade da vegetação secundária em áreas de floresta e de vegetação herbácea e arbustiva no Brasil desde 1985 até 2023
Mapas anuais das principais culturas agrícolas e da agricultura irrigada do país desde 1985, além da frequência de plantio da agricultura temporária (2017-2023)
Analysis of pasture vigor condition as an indicator of vegetative vigor trends, divided into three classes: low vigor, medium vigor, and high vigor. The conditions of each class are related to management types, presence of forage plants, and degradation stage.
Mapping of fire scars in Brazil based on mosaics of Landsat satellite images with a spatial resolution of 30 meters, covering the period from 1985 to 2023, with monthly and annual data on burn scars across Brazilian territory.
Mapping of industrial mining and artisanal mining locations, focusing on areas of known mining projects. Deep Learning techniques are used, and the reference data comes from multiple sources related to mining projects.
Monthly and annual data on the dynamics of water bodies and surface water across the national territory, mapped from 1985 to 2023 using Landsat satellite scenes with up to 70% cloud cover and a spatial resolution of 30 meters.
Definition of mosaic quality, considering that MapBiomas collections are generated through pixel compositions from various Landsat scenes over a specific period. Each scene has a certain proportion of clouds and interferences, which can vary from 0 to 23, defining this quality.
Maps of soil organic carbon (SOC) in Brazil from 1985 to 2021. The maps were generated using open soil data, environmental information, and digital soil mapping techniques. They were developed with data from soil samples collected in the field.
Annual maps of Land Cover and Land Use from 2016 to 2022, based on Sentinel-2 satellite images with a spatial resolution of 10 meters.
Analysis of the degradation vectors of native vegetation from 1986 to 2021, including data such as size and isolation of native vegetation fragments, edge area, fire frequency, and time since the last burn.
Beta mapping of coral reefs found in shallow, clear waters along the Brazilian coast, using Landsat satellite scenes. Deep and mesophotic reefs cannot be identified via satellites due to water depth and turbidity.
Mapas das áreas urbanizadas e da vegetação dentro e no entorno das cidades, além das áreas de risco, favelas, declividade e proximidade a drenagens, com recortes territoriais de regiões metropolitanas, concentrações urbanas e setores urbanos e rurais
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