Map name/ProductFont / AuthorDescriptionDownload URL
Ecoregions and ecosystems. Biodiversity: The wealth of BoliviaIbisch,P., Beck, S.,Gerkmann, B., Carretero, A., 2003Ecorregiões e ecossistemas da Bolívia
Vegetation and biogeographic units of BoliviaGonzalo Navarro, 2002
Classification of vegetation in BoliviaGonzalo Navarro, 2011
Map of current land cover and use in Bolivia, 2010O mapa de cobertura e uso atual do solo da Bolívia (COBUSO-2010) é um instrumento técnico que descreve em termos de cobertura do solo todos os recursos existentes em nosso país em escala departamental e nacional, identificando o uso atual por cada categoria de cobertura.link
Map of Productive Potentials in Bolivia, 2013Ministerio de Desarrollo Productivo y Economía Plural, a través de la Unidad de Análisis Productivo (UDAPRO) y el Sistema de Información Territorial de Apoyo a la Producción (SITAP) a escala 1:100000 en el año 2013.O mapa mostra o potencial produtivo do país em seus diferentes setores e áreas geográficas, identificados com base no tipo de uso da terra, especialização biofísica e especialização socioeconômica em nível departamental e municipal da Bolívia.link
Map of Forests in Bolivia 2015Elaborado por la Sala de Observación Bolivia / OTCA (SoB / OTCA), en coordinación con la Dirección General de Gestión y Desarrollo Forestal (DGGDF) del Ministerio de Medio Ambiente y Agua (MMAyA) con datos para el año 2013.Este mapa apresenta uma classificação por tipo de Floresta segundo ecossistema, determinando com maior precisão os limites entre ecossistemas.link
Hydrographic units of Ecuador Level 5National Secretariat of Water (SENAGUA)Map of territorial units where water, coming from the hydrological cycle, is captured, stored and available as surface water supply, its limits are established by the geographical watershed of precipitation. These units are structured and coded according to Otto Pfafstetter’s methodology. Scale 1:50000
Land use and land cover map of the year 1990Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 16 classes that were agreed upon through various workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Land use and land cover map of the year 2000Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 16 classes that were agreed upon through various workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Land use and land cover map of the year 2008Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 16 classes that were agreed upon through various workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Land use and land cover map of the year 2014Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 16 classes that were agreed upon through various workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Land use and land cover map of the year 2016Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 16 classes that were agreed upon through various workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Land use and land cover map of the year 2018Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 16 classes that were agreed upon through various workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Land use and land cover map of the year 2022Ministry of the Environment, Water and Ecological TransitionIt represents the land cover and use of continental Ecuador for the year 2022. The first level of the legend corresponds to the 6 classes defined by the IPCC (Intergovernmental Panel on Climate Change); the second level corresponds to 12 classes that were agreed upon through several workshops by the entities in charge of generating land cover information: Ministry of the Environment (MAE), Ministry of Agriculture, Livestock, Aquaculture and Fisheries (MAGAP), Ecuadorian Space Institute (IEE).link
Continental ecuadorian ecosystem map, 2012Ministry of the Environment, Water and Ecological TransitionIt represents the characterization, location and distribution of the ecosystems of Continental Ecuador in 2012. Prepared at a scale of 1:100,000 from biophysical models, interpretation of satellite images (2010-2012) and field validation.link
Land use, land cover and agriculture productive systems from continental Ecuador (edited edition by Ministry of agriculture and livestock 2020) 2009-2015Ministry of Agriculture and LivestockIt represents the land cover and use of continental Ecuador.link
Flood regimeMinistry of the Environment, Water and Ecological TransitionThis model refers to the accumulation or drainage of water based on hydrogeological conditions (filtration, infiltration, runoff), seasonal fluctuations in precipitation and geomorphological units (floodplains), permeability, impermeability, texture and structure of the soils.link
Biogeographic UnirMinistry of the Environment, Water and Ecological TransitionIt represents the biogeography of continental Ecuador. This map allows us to explain the distribution areas of species according to patterns that allow us to identify their centers of origin and dispersion, as well as to understand the spatial patterns of biological diversity. These units are based on the physiognomy of vegetation, landscape criteria, climatic conditions, and floristic components.link
PhenologyMinistry of the Environment, Water and Ecological TransitionThis coverage refers to the relationship between climatic variables and the stage of leaf loss that different types of vegetation present throughout the year. As a result of this model, Ecuador presents 4 types of phenologies: Deciduous, Semi-deciduous, Evergreen and Seasonal Evergreen.link
Estimated map of planted area of ​​oil palm cultivation in continental Ecuador, scale 1:25,000, year 2020Ministry of Agriculture and LivestockIt includes the monitoring of oil palm cultivation through the use of satellite images, corresponding to the year 2020link
Estimated map of planted area of ​​oil palm cultivation in continental Ecuador, scale 1:25,000, year 2019Ministry of Agriculture and LivestockIt includes the monitoring of oil palm cultivation through the use of satellite images, corresponding to the year 2019.link
Estimated map of the planted area of ​​oil palm cultivation in the provinces of Bolívar, Cotopaxi, El Oro, Guayas, Los Ríos, Manabí and Santa Elena, scale 1:25,000, year 2018Ministry of Agriculture and LivestockIt includes the monitoring of oil palm cultivation through the use of satellite images, corresponding to the year 2018.link
Map of Floricultural Cadastre in continental Ecuador, scale 1:5,000, year 2010 version 2Ministry of Agriculture and LivestockFloricultural Cadastre: Administrative registry through which the measurement and boundary of floricultural properties are determined at the national level; in addition, characteristics related to the infrastructure, crop yield and destination of the production are described.link
Map of location of microreservoirs in Ecuador, scale 1:50,000, year 2014 – 2017Ministry of Agriculture and LivestockMicroreservoir: Infrastructure where water is stored for pressurized irrigation.link
2020 – Map of incentivized forest plantations in Ecuador, scale 1:5,000, year 2020Ministry of Agriculture and LivestockForest plantation: Wooded area that is obtained artificially by planting native or exotic species, which have the same years of life and present a homogeneous separation. Its objective is to obtain wood and non-wood products. * Monitoring of the Incentive Program for Reforestation for Commercial Purposes.link
2018 – Map of incentivized forest plantations in Ecuador, scale 1:5,000, year 2018Ministry of Agriculture and LivestockForest plantation: Wooded area obtained artificially by planting native or exotic species, which have the same age and are evenly separated. Its objective is to obtain wood and non-wood products. * Follow-up to the Incentive Program for Reforestation for Commercial Purposes.link
2013 – 2017 – Map of incentivized forest plantations in Ecuador, scale 1:5,000, year 2013 – 2017Ministry of Agriculture and LivestockForest plantation: Wooded area obtained artificially by planting native or exotic species, which have the same age and are evenly separated. Its objective is to obtain wood and non-wood products. * Follow-up to the Incentive Program for Reforestation for Commercial Purposes.link
Map of Vegetation Cover of Continental Ecuador 1982Ministry of Agriculture and LivestockVegetation cover classification, scale 1:250,000 updated to 31/Dec/2014link
Map of Vegetation Cover of Continental Ecuador 1990Ministry of Agriculture and LivestockVegetation cover classification, scale 1:250,000 updated to 31/Dec/2014link
Deforestation and regeneration at the provincial level from 1990 to 2000 of continental EcuadorMinistry of the Environment, Water and Ecological TransitionSpatial distribution of deforestation or forest regeneration dynamics in the continental territory of Ecuador, based on land cover and use maps, scale 1:100,000 for the years 1990 and 2000.link
Deforestation and regeneration at the provincial level in the period 2000 – 2008 in continental EcuadorMinistry of the Environment, Water and Ecological TransitionSpatial distribution of deforestation or forest regeneration dynamics in the continental territory of Ecuador, based on land cover and use maps, scale 1:100,000 for the years 2000 and 2008.link
Deforestación y regeneración a nivel provincial del período 1990 – 2000 del Ecuador continentalMinisterio del Ambiente de Ecuador (MAE)Distribución espacial de dinámicas de deforestación o regneración de bosques en el territorio continental del Ecuador, en base a los mapas de cobertura y uso de la tierra, escala 1:100.000 para los años 1990 y 2000.link
Deforestación y regeneración a nivel provincial del período 2000 – 2008 del Ecuador continentalMinisterio del Ambiente de Ecuador (MAE)Distribución espacial de dinámicas de deforestación o regneración de bosques en el territorio continental del Ecuador, en base a los mapas de cobertura y uso de la tierra, escala 1:100.000 para los años 2000 y 2008.link
Deforestación y regeneración a nivel provincial del período 2008 – 2014 del Ecuador continentalMinisterio del Ambiente de Ecuador (MAE)Distribución espacial de dinámicas de deforestación o regneración de bosques en el territorio continental del Ecuador, en base a los mapas de cobertura y uso de la tierra, escala 1:100.000 para los años 2008 y 2014.link
Deforestación y regeneración a nivel provincial del período 2014 – 2016 del Ecuador continentalMinisterio del Ambiente de Ecuador (MAE)Distribución espacial de dinámicas de deforestación o regneración de bosques en el territorio continental del Ecuador, en base a los mapas de cobertura y uso de la tierra, escala 1:100.000 para los años 2014 y 2016.link
Deforestación y regeneración a nivel provincial del período 2016 – 2018 del Ecuador continentalMinisterio del Ambiente de Ecuador (MAE)Distribución espacial de dinámicas de deforestación o regneración de bosques en el territorio continental del Ecuador, en base a los mapas de cobertura y uso de la tierra, escala 1:100.000 para los años 2016 y 2018.link
Deforestación y regeneración a nivel provincial del período 2020 – 2022 del Ecuador continentalMinisterio del Ambiente de Ecuador (MAE)Distribución espacial de dinámicas de deforestación o regneración de bosques en el territorio continental del Ecuador, en base a los mapas de cobertura y uso de la tierra, escala 1:100.000 para los años 2020 y 2022.link
Mapa de Vegetación de VenezuelaHuber O, Alarcón C (1988) Mapa de Vegetación de Venezuela. Ministerio del Ambiente y de los Recursos Naturales Renovables. TheNature Conservance.Vegetation map of Venezuela at a scale of 1:2,000,000
Guayana Venezolana: Mapa de VegetaciónHuber, O. & T Rodriguez. 1995. Mapa de vegetación de la Guayana venezolana.
Fundación Instituto Botánico de Venezuela (FIBV), Caracas.
Vegetation map of the Venezuelan Guayana, at a scale of 1:2,000,000link
Mapa de Vegetación de VenezuelaMARN (2003) Mapa de Vegetación de Venezuela 1:2.000.000. Ministerio del Ambiente y de los Recursos Naturales (MARN), Instituto Geográfico de Venezuela Simón Bolívar; Caracas.Vegetation map of Venezuela at a scale of 1:2,000,000
Mapa digital de los ecosistemas terrestres de VenezuelaHuber, O. y M.A. Oliveira-Miranda. (2010). Ambientes terrestres. Pp: 29-89. En: J.P. Rodríguez, F. Rojas-Suárez & D. Giraldo Hernández (eds.). Libro Rojo de los Ecosistemas Terrestres de Venezuela. Provita, Shell Venezuela, Lenovo (Venezuela). Caracas:Venezuela.Digital map of terrestrial ecosystems of Venezuela in shapefile format
Mapa de Ecosistemas de VenezuelaMPPAMB (2014). Mapa de Ecosistemas de Venezuela. 1: 2.000.000. Ministerio del Poder Popular para el Ambiente; Caracas.Ecosystem map of Venezuela at a scale of 1:2,000,000
An Ecoregion-Based Approach to Protecting Half the Terrestrial RealmAn Ecoregion-Based Approach to Protecting Half the Terrestrial Realm
Eric Dinerstein, David Olson, Anup Joshi, Carly Vynne, Neil D. Burgess, Eric Wikramanayake, Nathan Hahn, Suzanne Palminteri, Prashant Hedao, Reed Noss … Show more
BioScience, Volume 67, Issue 6, June 2017, Pages 534–545, https://doi.org/10.1093/biosci/bix014
Published: 05 April 2017
Digital map of biomes and ecoregions in shapefile formatlink
Global Surface Water 1984-2021Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward, High-resolution mapping of global surface water and its long-term changes. Nature 540, 418-422 (2016). (doi:10.1038/nature20584)Global digital map of surface water presence, 1984-2021. Raster format, pixel 30 mlink
Global Forest Canopy Height, 2019P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C.E. Silva, J. Armston, R. Dubayah, J. B. Blair, M. Hofton (2020) Mapping and monitoring global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165. https://doi.org/10.1016/j.rse.2020.112165Global digital map of canopy height, 1984-2021. Raster format, pixel 30 mlink
World Settlement Footprint (WSF) 2019 – Sentinel-1/2 – GlobalUnderstanding Current Trends in Global Urbanisation – The World Settlement Footprint Suite. Mattia Marconcini, Annekatrin Metz- Marconcini, Thomas Esch and Noel Gorelick. GI_Forum 2021, Issue 1 Page: 33 – 38 Research Paper DOI: 10.1553/giscience2021_01_s33Global digital map of human settlements, 2019. Generated with Sentinel-2. Raster format, 10 m pixellink
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.Land cover and use map with 10 m pixel, 2017-2022. Raster formatlink
ESA WorldCover 2020 v100Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. https://doi.org/10.5281/zenodo.5571936Land cover and use map with 10 m pixel, 2020. Raster formatlink
ESA WorldCover 2021 v200Zanaga, D., Van De Kerchove, R., Daems, D., De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.E., Xu, P., Ramoino, F., Arino, O., 2022. ESA WorldCover 10 m 2021 v200. https://doi.org/10.5281/zenodo.7254221Land cover and use map with 10 m pixel, 2021. Raster format, 10 m pixellink
Mapa de ecosistemas. 2012.SINCHIAquatic and terrestrial ecosystem layer for the Amazon Region for the year 2012, scale 1:100,000, according to the CORINE Land Cover methodology and the delimitation and classification of the geoform units, climate (temperatures – climatic zones and precipitation).link
Land Cover in the Colombian Amazon. 2002.SINCHILand cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2002.link
Land Cover in the Colombian Amazon. 2007.SINCHILand cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2007.link
Land Cover in the Colombian Amazon. 2012.SINCHILand cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2012.link
Land Cover in the Colombian Amazon. 2014.SINCHILand cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2014.link
Agricultural Landscapes in the Colombian Amazon. 2002.SINCHIAgricultural landscape map for the period 2002 at a scale of 1:100,000 corresponding to the area transformed by anthropic means by agricultural or livestock activities.link
Agricultural Landscapes in the Colombian Amazon. 2007.SINCHIAgricultural landscape map for the period 2007 at a scale of 1:100,000 corresponding to the area transformed by anthropic means by agricultural or livestock activities.link
Agricultural Landscapes in the Colombian Amazon. 2012.SINCHIAgricultural landscape map for the period 2012 at a scale of 1:100,000 corresponding to the area transformed by anthropic means by agricultural or livestock activities.link
Agricultural Landscapes in the Colombian Amazon. 2014.SINCHIAgricultural landscape map for the period 2014 at a scale of 1:100,000 corresponding to the area transformed by anthropic means by agricultural or livestock activities.link
Land Cover CORINE Land Cover methodology adapted for Colombia. 2018.IDEAM, SINCHI, PNNThe geographic objective of the Land Cover map for the 2018 period at a scale of 1:100,000 corresponds to the reinterpretation and/or visual interpretation of Landsat 8 images for the continental part and Sentinel 2 images for the archipelago of San Andrés, Providencia and Santa Catalina, all with a capture date within the period (year) 2018. It consists of 54 thematic classes in the level 3 attribute and 130 thematic classes in the legend attribute, according to the National Land Cover legend, which go up to the maximum interpreted level, thus reaching the third, fourth, fifth and sixth levels in some covers.link
Land cover 2000 – 2002.IDEAMMapa de Coberturas de la Tierra Metodología Corine Land Cover Adaptada para Colombia Escala 1:100.000Periodo 2000 – 2002link
Land cover 2005 – 2009.IDEAMMapa de Coberturas de la Tierra Metodología Corine Land Cover Adaptada para Colombia Escala 1:100.000Periodo 2005 – 2009link
Colombian Mining Monitoring (COMIMO).Universidad del RosarioLand Cover Map Corine Land Cover Methodology Adapted for Colombia Scale 1:100,000 Period 2000 – 2002link
Tree Cover Height.World Resources Institute (WRI)Land Cover Map Corine Land Cover Methodology Adapted for Colombia Scale 1:100,000 Period 2005 – 2009link
Mapa de Ecorregiones Terrestres Mundiales (ETM)WWFBiogeographic regionalization representing different terrestrial ecoregions of the world, defined as relatively large units of land or water that contain natural communities and share similar species, dynamics, and environmental conditions. This classification, based on hundreds of studies, covers 867 terrestrial ecoregions organized into 14 biomes, such as forests, grasslands, and deserts. Ecoregions show the original distribution of species and communities, with descriptions of climate, relief, fauna, flora, threats, and conservation actions. The map has been produced by the Conservation Science Program of the World Wildlife Fund.link
Planet & NICFI Basemaps for Tropical Forest Monitoring – Tropical Americas.Planet TeamSemiannual or monthly Planet Scope image mosaics.link
Global 2010 Tree Cover (30 m).Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., y Townshend, J.R.GGlobal tree cover data (treecover2010) are pixel-wise estimates of maximum percentage tree cover around 2010 (peak of the growing season) derived from Landsat 7 ETM+ composite data of the annual cloud-free growing season. A regression tree model estimating percent tree canopy cover per pixel was applied to annual composites from 2000 to 2012 inclusive. Data gaps and noise from individual years were replaced using multi-year mean values. First, a median of annual tree canopy cover values ​​from 2009-2011 was used to estimate 2010 tree cover. For pixels that do not yet have an estimate, the median calculation was extended to include tree cover values ​​from 2008 to 2011 and then from 2008 to 2012. The resulting layer represents the estimated maximum tree canopy cover per pixel, 1-100% for the year 2010 in integer values ​​(1-100).link
Bing MapsMicrosoftBing Maps is an online mapping service that is part of the Bing search engine suite from Microsoft, and operates on the Bing Maps platform. The aerial view combines satellite images with the map, highlighting important roads and landmarks for easy identification on the satellite images.link
Hansen Global Forest Change v1.8.Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, y J. R. G. TownshendResults of time series analysis of Landsat images to characterize the extent and change of forests worldwide.link
Map of Wetlands in the Amazon BasinHess, 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. https://doi.org/10.3334/ORNLDAAC/1284Map of wetland extent, vegetation type and flooding status in two seasons for the entire lower Amazon basinlink
Global Wetlands MapGumbricht, 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: http://www.cifor.org/pid/6419Hydro-geomorphological model based on an expert system approach to estimate wetland areas.link
Global Wetlands MapTootchi, Ardalan; Jost, Anne; Ducharne, Agnès (2018): Multi-source global wetland maps combining surface water imagery and groundwater constraints. Sorbonne Université, Paris, France, PANGAEA, https://doi.org/10.1594/PANGAEA.892657Composite wetland maps combining two classes of wetlands: (1) regularly flooded wetlands and (2) groundwater-driven wetlands.link
Non-forested areas mapINPEMask of non-forested areas in the Amazonlink