Confira os mapas utilizados como referência pelo MapBiomas para treinar algoritmos de classificação ou avaliar a qualidade da classificação automática do projeto. Estas referências são de diversas organizações e com escopo temporal e geográfico variado.
Alguns desses mapas ainda não tem acesso público por estarem em processo de publicação. Quando disponíveis indicamos o link para baixar os dados direto da fonte.
| Map Name/Product | Font / Author | Description | Download Address |
| Geomorphology Map of Brazil - 2021 | IBGE | Database in digital media (1: 250000), made available for all of Brazil, with geometric consistency, structured and standardized for use in Geographic Information Systems about the Geomorphology theme | Access |
| Agriculture Irrigated by Center Pivots in Brazil | ANA / EMBRAPA | Mapping of the area and number of central pivot irrigation equipment in Brazil between 1985 and 2017. The study was carried out through a partnership between the National Water Agency - ANA and Embrapa Milho e Sorgo | Access |
| Substandard Agglomerates 2019 | IBGE | This preliminary version incorporates updates through December 2019 and is comprised of 13 152 Subnormal Agglomerations. These agglomerations are located in 734 Municipalities, in all States and in the Federal District, and total 5 127 747 household | Access |
| Urban Areas in Brazil in 2015 | EMBRAPA | Identification, mapping, and quantification of urban areas in Brazil that seek to generate a thematic set of geo-referenced information | 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 |
| Atlas of the Mangroves of Brazil | MMA / ICMBio | A partnership between Chico Mendes Institute for Biodiversity Conservation and the Project "Effective Conservation and Sustainable Use of Mangrove Ecosystems in Brazil", implemented by the United Nations Development Program - Brazil (UNDP), with the support of the Global Fund for the Environment Environment (GEF) | Not Not Available |
| CAR Thematic Digital Vector Base - State of Tocantins | Tocantins State Secretariat for the Environment and Water Resources | Prepared from satellite images (Plêiades Year 2015), and constitutes a vectorial, digital base, compatible with a 1:25,000 scale, consisting of features of the hydrographic grid, municipal boundaries, road system grid, transmission lines, and special areas of the State of Tocantins, cut and articulated according to sheets 1:25,000 of the National Cartographic System – SCN | Access |
| Canasat | INPE/Agrosatelite | Sugarcane map for south-central Brazil | Not Available |
| WorldPop Project Population Data: Estimated Residential Population | University of Southampton | Contemporary high-resolution data on human population distributions are a prerequisite for accurately measuring the impacts of population growth, monitoring change, and planning interventions | Access |
| Global Distribution of Mangroves USGS | USGS | This dataset shows the global distribution of mangrove forests, derived from earth observation satellite imagery | Access |
| Global Forest Change 2000–2015 | University of Maryland | Results from time-series analysis of Landsat images in characterizing global forest extent and change from 2000 through 2015. For additional information about these results, please see the associated journal article (Hansen et al., Science 2013) | Access |
| Global Human Settlement Layer (GHS-BUILT e GHS_BUILT_S2) | European Commission Joint Research Centre (JRC) | A layer of multitemporal information on the presence of built-up area derived from Landsat image collections (GLS1975, GLS1990, GLS2000, and Landsat 8 ad-hoc 2013/2014 collection) | Access |
| Global Land Analysis Discovery – Commodity Crop Mapping and Monitoring in South America | University of Maryland | Annual Soy Coverage Maps in South America, Soy Coverage 2000 onwards to enable tracking of indirect effects of soy expansion on deforestation and inform multi-stakeholder negotiations on soy sustainability, Corn Coverage Maps in South America South America, updated semi-annually | Access |
| Index of Roads and Structures (IRS) | Justiniano et. al | Presents a new easily reproducible methodology for urban mapping. The methodology allows the combined processing of OpenStreetMap and Remote Sensing data, where a metric called the road and structure index (LVI) is proposed for mapping urban areas. The IVE is used with NDVI and MNDWI to map the urban surface with high accuracy, with a reference year of 2020 | Access |
| III National Inventory of Greenhouse Gas Emissions (LULUCF sector) | MCTIC | Map of agricultural areas (annual, semi-perennial and perennial) | Not available |
| Land Cover and Land Use - Rondônia 1984 -2010 | University of California Santa Barbara (UCSB) | Collaborative research between UCSB, Salisbury University (Maryland), and North Carolina State University to produce and manage an archive of annual Landsat images without gaps (1984-2009) covering most of the state of Rondônia | Not available |
| Census Sectors 2020 | Instituto Brasileiro de IBGE (IBGE) | The 2020 Census Sectors was updated for the Demographic Census collection scheduled for 2021. Since it is an Intermediate Mesh it does not contemplate statistical information on population or domicile but contains the updated situation of the Brazilian Political and Administrative Division - DPA, in effect on 06/30/2020, contained in the Municipal Mesh, also produced annually by the Coordination of Territorial Structures of the Directorate of Geosciences of IBGE | Access |
| Brazilian Mining Map | Camara de Comercio e Industria Brasil-Alemanha/ GeoAnsata Projetosa | Portraits of the mining industry and intermediation of interested parties in the area, experts, and producers in the sector with mining companies | Access |
| Deforestation Alert Map - Mining Class - DETER Project | INPE | Mining Class of the Near Real Time Alert System (DETER), maintained by the National Institute for Space Research (INPE) | Access |
| Illegal mineral activity map of RAISG | RAISG | Data of illegal mining of the Amazon Socio-environmental Georeference Information Network | Access |
| Amazon Mining Watch Network Mining Map | AMW | Amazon Mining Watch Mining Activity Data | Access |
| Citrus map in SP | Agrosatélite | Citrus mapping in São Paulo | Not available |
| Planted forests map | GFW/WRI | Map of planted forests in Brazil | Access |
| 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 |
| Amazon Mineral Resources Map | Social and Environmental Institute - ISA | Mining data in the Brazilian Amazon compiled by Instituto Socioambiental - ISA | Access |
| Brazil Mineral Resources Map | Geological Survey of Brazil (CPRM) - GeoSGB | The spatial representation of Brazil's mineral resources is maintained by the Geological Service of Brazil (CPRM) through its geoportal called GeoSGB | Access |
| Land Use Map of Brazil | IBGE | Land use map based on Modis (250mt) with comparisons between the years 2000, 2010, and 2012 | Access |
| Map of mangroves in northeastern Brazil | Pereira, E.A., Souza-Filho, P.W.M., et al. | Map of mangrove areas from Ponta de Tubarão-MA to the south of the State of Bahia from the classification of Landsat and ALOS PALSAR images from 2008 | Not available |
| Map of mangroves in the northern region of Brazil | Nascimento Jr, W.R; Souza-Filho, P.W.M., et al. | Map of mangrove areas from Oiapoque-AP to Ponta de Tubarão-MA generated from the classification of Landsat and ALOS PALSAR images from 2008 | Not available |
| Synthesis Map of Pastures of Brazil - v8 | LAPIG/UFG | Mapping of pasture areas, from TerraClass Amazon data compilation; Funcate; PROBIO; Canasat, and TNC | Access |
| Annual agriculture maps for the Amazon | Agrosatélite | Maps that include cotton and corn crops and soybeans, cultivated on a large scale, for the crop years: 2000/2001, 2006/2007, 2013/2014, 2016/2017, and 2019/2020 | Access |
| Annual agriculture maps for the Cerrado (Project: Geospatial analyzes of the annual crops dynamic in the Brazilian Cerrado biome: 2000 to 2014) and update | Agrosatélite | Maps that include cotton, corn crops, and soybeans, cultivated on a large scale, for the crop years: 2000/2001, 2006/2007, 2013/2014. 2018/2019 | Access |
| Vegetal Coverage Maps of Brazilian Biomes - ProBio | UEFS/APNE/EMBRAPA- Solos/UFCE/UFRN/ UFRPE/UFPB/CRA/ SEMARH-MMA | Survey of vegetable coverage and land use of the Caatinga Bioma | Not Available |
| Mapping of the Upper Paraguay Basin | SOS Pantanal/ WWF Brasil | Monitoring the use and vegetation cover of the Upper Paraguay Basin, which includes the Pantanal and its headwaters. Data available for 2002, 2008, 2010, 2012, 2014 and 2016 | Access |
| Mapping of the Vegetal Coverage of the Atlantic Forest of Minas Gerais | State Forest Institute (IEF) | Mapping carried out a sweep of 30,673,854.99 hectares, which included the legal limit of the biome established by Federal Law 11,428/2006, plus a five-kilometer buffer, considering the transition areas for the other biomes | Not Available |
| Mapping of Native Vegetal Coverage and Land Use 1/25,000 in the State of Espírito Santo | State Institute for the Environment and Water Resources (IEMA) | Mapping was carried out through orthophotos with 25 cm and photointerpretation and manual vectorization of limits between use and coverage classes with a minimum area of 0.5 ha | 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 Irrigated Rice in Brazil | National Water Agency (ANA) / National Supply Company (Conab) | Mapping of Irrigated Rice in Brazil | 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 |
| Forest Mapping of the State of Sergipe | SEMARH-SE | Survey of Forest Coverage in the State of Sergipe | Not available |
| OpenStreetMap | OpenStreetMap Foundation | OpenStreetMap is an initiative to create and provide free geographic data, such as street maps, to anyone | Access |
| Prodes | INPE | Satellite monitoring of clear-cut deforestation in the Legal Amazon produces, since 1988, the annual deforestation rates in the region, which are used by the Brazilian government to establish public policies | Access |
| Terra Class Amazônia | INPE | Mapping the dynamics of use and coverage of the Brazilian Legal Amazon | Access |
| Terra Class Cerrado | MMA, IBAMA, EMBRAPA, INPE, UFG e UFU | Cerrado Land Use and Coverage Mapping | Access |
| Homogeneous Urban Land Use and Occupation Units (UHCT) for the State of São Paulo | Instituto Geológico (IG)/ Geological Institute (IG) / Department of the Environment of the State of São Paulo Ambiente do Estado de São Paulo | Sectoring or dividing the territory into areas with similar characteristics regarding certain physical aspects, shape, and intrinsic texture of the occupation | Not Available |
| Use and vegetation cover in the State of Rio Grande do Sul – situation in 2002 | Hasenack, H.; Cordeiro, J.L.P; Weber, E.J. (Org.). Porto Alegre: UFRGS IB Centro de Ecologia, 2015. 1a ed. ISBN 978-85-63843-15-9. | Vegetation Cover Map of Rio Grande do Sul - 2002 base year, obtained by visual interpretation of Landsat images. Level of detail compatible with 1:250,000 scale | Access |
| Use and vegetation cover in the State of Rio Grande do Sul – situation in 2009 | Weber, E.J.; Hofmann, G.S.; Oliveira, C.V.; Hasenack, H. (Org.). Porto Alegre: UFRGS IB Centro de Ecologia, 2016. 1a ed. ISBN 978-85-63843-20-3. | Vegetation Cover Map of Rio Grande do Sul - base year 2009, obtained by visual interpretation of Landsat images. Level of detail compatible with 1:250,000 scale | Access |
| Use and vegetation cover in the State of Rio Grande do Sul – situation in 2015 | Hofmann, G.S.; Weber, E.J.; Hasenack, H. (Org.). Porto Alegre: UFRGS IB Centro de Ecologia, 2018. 1a ed. ISBN 978-85-63843-22-7. | Vegetation cover map of Rio Grande do Sul - base year 2015, obtained by visual interpretation of Landsat images. Level of detail compatible with 1:250,000 scale | Access |
| Mapping of the Evolution of Vegetation Cover | Bahia Forestry Forum | The objective of the independent monitoring of the vegetation cover and soil use of the Discovery Coast, Extremo Sul, and South Coast Parcel (areas where Suzano and Veracel operate), is to map the evolution of the vegetation cover | Access |
| Coffee Map | CONAB | The mapping of agricultural crops is carried out by means of remote sensing. It aims to contribute to the estimation of area and productivity, offering precise information about the geographic distribution in each state. In area estimation, the mapping result helps in the analysis of the declared information, as verifiable data in the field. In productivity estimation, the knowledge of the location of the cultivation areas enables the monitoring of the productive areas through agrometeorological parameters, offering indicators on the forecast of the yield of the crops. The mappings are available for download in shapefile format | Access |
| VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1 | NASA | The maps are available for download in shapefile format | Access |
| Global Wetland Map | Gumbricht, T., Román-Cuesta, R.M., Verchot, L.V., Herold, M., Wittmann, F., Householder, E., Herold, N., Murdiyarso, D.. 2017. An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor. Global Change Biology 23(9):3581-3599, doi. | Hydro-geomorphological model based on a specialized system approach for estimating wetland areas | Access |
| Global Wetland Map | Tootchi, Ardalan; Jost, Anne; Ducharne, Agnès (2018): Multi-source global wetland maps combining surface water imagery and groundwater constraints. Sorbonne Université, Paris, France, PANGAEA, doi. | Maps of composite wetland zones that combine two wetland classes: (1) regularly flooded wetlands and (2) groundwater-driven wetlands | Access |
| Global Wetland Map of the Amazon Basin | Hess, L.L., J.M. Melack, A.G. Affonso, C.C.F. Barbosa, M. Gastil-Buhl, and E.M.L.M. Novo. 2015. LBA-ECO LC-07 Wetland Extent, Vegetation, and Inundation: Lowland Amazon Basin. ORNL DAAC, Oak Ridge, Tennessee, USA, doi. | Map of wetland extent, vegetation type, and flooding status in two seasons across the entire Lower Amazon Basin | Access |