Here you can find the maps used as a reference by MapBiomas Trinacional Atlantic Forest to train the classification algorithms and to validate the quality of the project’s automatic classifications. These references come from various organizations and have varied geographical and temporal scales.
Some of these maps still do not have public access because they are in the process of being published. When they are available, their corresponding link will be incorporated to allow the data to be downloaded directly from the original source.
| Name of the map | Font/Author | Description | Link |
| Copernicus Global Land Service: Land Cover 100m: collection 3 | Buchhorn, M. ; Smets, B. ; Bertels, L. ; De Roo, B. ; Lesiv, M. ; Tsendbazar, N. – E. ; Herold, M. ; Fritz, S. Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe 2020. | Land cover maps represent spatial information on different types (classes) of physical coverage of the Earth’s surface, e.g. forests, grasslands, croplands, lakes, wetlands. | Access |
| Global Forest Change 2000–2015 | University of Maryland | Results of Landsat image time series analysis in the characterization of global forest extent and change from 2000 to 2015 | Access |
| ESRI 10m Annual Land Use Land Cover (2017-2022) | Karra, Kontgis, et al. “Global land use/land cover with Sentinel-2 and deep learning.” IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. | Time series of annual global maps of land use and land cover (LULC). It currently has data from 2017-2022. The maps are derived from ESA Sentinel-2 imagery at 10m resolution | Access |
| ETH Global Canopy Height 2020 | Lang, N., Jetz, W., Schindler, K. et al. A high-resolution canopy height model of the Earth. Nat Ecol Evol (2023). https://doi.org/10.1038/s41559-023-02206-6 | Global canopy top height map for the year 2020.The underlying data product, estimated from Sentinel-2 imagery. | Access |
| Coverage map of the Republic of Paraguay | FCA/CIF/FFPRI, 2013 | The elaboration of the map was carried out from the analysis and interpretation of Landsat 5 satellite images (TM) (E 1:250.000) | Access |
| Land use change in Paraguay | INFONA 2018 | Land use change map between 2016 -2020 and 2020-2022,, obtained by classifying Landsat 8 images | Access |
| Atlas of the Atlantic Forest | SOS Mata Atlântica/INPE | Mapping of forest formations and associated ecosystems, reference year 2018/2019 | Access |
| Atlas of the Atlantic Forest | SOS Mata Atlântica/INPE | Detailed 1ha mapping for the State of São Paulo | Not Available |
| Atlas of the Atlantic Forest | SOS Mata Atlântica/INPE | Detailed 1ha mapping for the State of Rio de Janeiro | Not Available |
| Atlas of the Atlantic Forest | SOS Mata Atlântica/INPE | Detailed 1 ha mapping for the State of Paraná | Not Available |
| Atlas of the Atlantic Forest | SOS Mata Atlântica/INPE | Detailed 1ha mapping for the State of Santa Catarina | Not Available |
| Citrus map in SP | Agrosatélite | Citrus mapping in São Paulo | Not available |
| Planted forests map | GFW/WRI | Map of planted forests in Brazil | Access |
| Land use mapping for the Cerrado and Atlantic Forest | FBDS | Land use mapping for the Cerrado and Atlantic Forest. Based on RapidEye high-resolution images with 5 m resolution | Access |
| Land Use and Land Cover Mapping of the State of Paraná | State Secretariat of Planning and Structural Projects | Mapping carried out using high-resolution satellite orbital images (2 meters) from the period 2011 to 2016 – WorldView2 and Pleiades 1A and 1B. Supervised automatic classification (GEOBIA) | Access |
| Mapping of the Forest Inventory of the State of São Paulo | Infrastructure and Environment Secretariat of the State of São Paulo – Forestry Institute | Mapping carried out using orbital satellite images of high spatial resolution (0.5 meters), for the period 2017 to 2019, belonging to the collection of the Infrastructure and Environment Department | Not available |
| Biomes Boundary Map 1:250,000 | IBGE | Joint with the methodological report that brings new limits between the six Brazilian biomes, Amazon, Atlantic Forest, Caatinga, Cerrado, Pantanal, and Pampa, compatible with the 1:250 000 scale | Access |