Here you can find the maps used as reference by MapBiomas Argentina for training classification algorithms and validating the quality of the project's automatic classifications. These references come from various organizations and have varied temporal and geographical scales.
Some of these maps are not yet publicly accessible as they are in the process of publication. When they become available, their corresponding link will be added to allow direct data download from the original source.
| Name of the map | Source or author | Description | Year | Link |
| Soil Cover of the Argentine Republic (LCCS-FAO) | INTA | Land Cover and Land Use of the Argentine Republic on an Exploratory Scale (E 1:500,000) using the Land Cover Classification System (LCCS-FAO) | 2006-2007 | Access |
| First Inventory of Native Forests in Argentina | SAyDS | Monitoring of vegetation units for the native forest sector (Scale 1:250,000) | 2005 | Access |
| Forest Assessment Management Unit (UMSEF) | MAyDS | Monitoring of native forests in Argentina for the detection, quantification, and tracking over time of natural and/or anthropogenic processes that modify the structure and/or extent of these ecosystems. | (2002-2018) | Access |
| National Crop Map - 2021-2022 Campaign | INTA | Map of extensive crops covering the majority of Argentina's agricultural area with a resolution of 30 meters. | 2021-2022 | Access |
| National Crop Map – 2020-2021 Campaign | INTA | Map of extensive crops covering the majority of Argentina's agricultural area with a resolution of 30 meters. | 2020-2021 | Access |
| National Crop Map – 2019-2020 Campaign | INTA | Map of extensive crops covering the majority of Argentina's agricultural area with a resolution of 30 meters. | 2019-2020 | Access |
| National Crop Map – 2018-2019 Campaign | INTA | Map of extensive crops covering the majority of Argentina's agricultural area with a resolution of 30 meters. | 2018-2019 | Access |
| Crop Campaign Maps | INTA | Annual survey of summer and winter extensive crop campaigns in the Northwest of Argentina. | (2001-2017) | Access |
| Land Cover of Salta and Jujuy (LCCS-FAO) | IDESA | 2013 Update of the Land Occupation and Current Land Use Map at an exploratory scale (E 1:500,000), using the Land Cover Classification System (LCCS) by Di Gregorio et al., 1998. | 2013 | Access |
| Productive Information on Citrus Crops (SENASA) | RIDES Ministry of Productive Development. Government of Tucumán. | Survey of productive units by the National Service for Agrifood Health and Quality (SENASA). | 2015 | Access |
| Productive information on Blueberry Cultivation | RIDES Ministry of Productive Development. Government of Tucumán. | 2016 | Access | |
| Copernicus Global Land Service: Land Cover 100m: collection 3 | Buchhorn et al. 2020 | The land cover maps provide spatial information about different types of land surface coverage, such as forests, grasslands, croplands, lakes, or wetlands. | 2019 | Access |
| Global Forest Change 2000–2015 | University of Maryland | Results from the analysis of Landsat image time series to characterize the extent and change of forests at a global scale between 2000 and 2015. | 2015 | Access |
| ESRI 10m Annual Land Use Land Cover (2017-2022) | Karra et al. 2021. | Annual global time series of land use and land cover (LULC) maps. Currently available data covers the years 2017 to 2022. The maps are derived from Sentinel-2 images from the European Space Agency (ESA) with a resolution of 10 meters. | 2022 | Access |