{"id":2045,"date":"2024-09-24T08:00:00","date_gmt":"2024-09-24T13:00:00","guid":{"rendered":"https:\/\/amazonia.mapbiomas.org\/?post_type=map&p=2045"},"modified":"2024-09-26T13:53:35","modified_gmt":"2024-09-26T18:53:35","slug":"collection-6","status":"publish","type":"map","link":"https:\/\/amazonia.mapbiomas.org\/en\/en\/map\/collection-6\/","title":{"rendered":"Collection 6"},"content":{"rendered":"\n
Map name\/Product<\/td>Font \/ Author<\/td>Description<\/td>Download URL<\/td><\/tr>
Ecoregions and ecosystems. Biodiversity: The wealth of Bolivia<\/td>Ibisch,P., Beck, S.,Gerkmann, B., Carretero, A., 2003<\/td>Ecorregi\u00f5es e ecossistemas da Bol\u00edvia<\/td><\/td><\/tr>
Vegetation and biogeographic units of Bolivia<\/td>Gonzalo Navarro, 2002<\/td><\/td><\/td><\/tr>
Classification of vegetation in Bolivia<\/td>Gonzalo Navarro, 2011<\/td><\/td><\/td><\/tr>
Map of current land cover and use in Bolivia, 2010<\/td><\/td>O mapa de cobertura e uso atual do solo da Bol\u00edvia (COBUSO-2010) \u00e9 um instrumento t\u00e9cnico que descreve em termos de cobertura do solo todos os recursos existentes em nosso pa\u00eds em escala departamental e nacional, identificando o uso atual por cada categoria de cobertura.<\/td>link<\/a><\/td><\/tr>
Map of Productive Potentials in Bolivia, 2013<\/td>Ministerio de Desarrollo Productivo y Econom\u00eda Plural, a trav\u00e9s de la Unidad de An\u00e1lisis Productivo (UDAPRO) y el Sistema de Informaci\u00f3n Territorial de Apoyo a la Producci\u00f3n (SITAP) a escala 1:100000 en el a\u00f1o 2013.<\/td>O mapa mostra o potencial produtivo do pa\u00eds em seus diferentes setores e \u00e1reas geogr\u00e1ficas, identificados com base no tipo de uso da terra, especializa\u00e7\u00e3o biof\u00edsica e especializa\u00e7\u00e3o socioecon\u00f4mica em n\u00edvel departamental e municipal da Bol\u00edvia.<\/td>link<\/a><\/td><\/tr>
Map of Forests in Bolivia 2015<\/td>Elaborado por la Sala de Observaci\u00f3n Bolivia \/ OTCA (SoB \/ OTCA), en coordinaci\u00f3n con la Direcci\u00f3n General de Gesti\u00f3n y Desarrollo Forestal (DGGDF) del Ministerio de Medio Ambiente y Agua (MMAyA) con datos para el a\u00f1o 2013.<\/td>Este mapa apresenta uma classifica\u00e7\u00e3o por tipo de Floresta segundo ecossistema, determinando com maior precis\u00e3o os limites entre ecossistemas.<\/td>link<\/a><\/td><\/tr>
Hydrographic units of Ecuador Level 5<\/td>National Secretariat of Water (SENAGUA)<\/td>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<\/td><\/td><\/tr>
Land use and land cover map of the year 1990<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Land use and land cover map of the year 2000<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Land use and land cover map of the year 2008<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Land use and land cover map of the year 2014<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Land use and land cover map of the year 2016<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Land use and land cover map of the year 2018<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Land use and land cover map of the year 2022<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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).<\/td>link<\/a><\/td><\/tr>
Continental ecuadorian ecosystem map, 2012<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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.<\/td>link<\/a><\/td><\/tr>
Land use, land cover and agriculture productive systems from continental Ecuador (edited edition by Ministry of agriculture and livestock 2020) 2009-2015<\/td>Ministry of Agriculture and Livestock<\/td>It represents the land cover and use of continental Ecuador.<\/td>link<\/a><\/td><\/tr>
Flood regime<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>This 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.<\/td>link<\/a><\/td><\/tr>
Biogeographic Unir<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>It 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.<\/td>link<\/a><\/td><\/tr>
Phenology<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>This 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.<\/td>link<\/a><\/td><\/tr>
Estimated map of planted area of \u200b\u200boil palm cultivation in continental Ecuador, scale 1:25,000, year 2020<\/td>Ministry of Agriculture and Livestock<\/td>It includes the monitoring of oil palm cultivation through the use of satellite images, corresponding to the year 2020<\/td>link<\/a><\/td><\/tr>
Estimated map of planted area of \u200b\u200boil palm cultivation in continental Ecuador, scale 1:25,000, year 2019<\/td>Ministry of Agriculture and Livestock<\/td>It includes the monitoring of oil palm cultivation through the use of satellite images, corresponding to the year 2019.<\/td>link<\/a><\/td><\/tr>
Estimated map of the planted area of \u200b\u200boil palm cultivation in the provinces of Bol\u00edvar, Cotopaxi, El Oro, Guayas, Los R\u00edos, Manab\u00ed and Santa Elena, scale 1:25,000, year 2018<\/td>Ministry of Agriculture and Livestock<\/td>It includes the monitoring of oil palm cultivation through the use of satellite images, corresponding to the year 2018.<\/td>link<\/a><\/td><\/tr>
Map of Floricultural Cadastre in continental Ecuador, scale 1:5,000, year 2010 version 2<\/td>Ministry of Agriculture and Livestock<\/td>Floricultural 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.<\/td>link<\/a><\/td><\/tr>
Map of location of microreservoirs in Ecuador, scale 1:50,000, year 2014 – 2017<\/td>Ministry of Agriculture and Livestock<\/td>Microreservoir: Infrastructure where water is stored for pressurized irrigation.<\/td>link<\/a><\/td><\/tr>
2020 – Map of incentivized forest plantations in Ecuador, scale 1:5,000, year 2020<\/td>Ministry of Agriculture and Livestock<\/td>Forest 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.<\/td>link<\/a><\/td><\/tr>
2018 – Map of incentivized forest plantations in Ecuador, scale 1:5,000, year 2018<\/td>Ministry of Agriculture and Livestock<\/td>Forest 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.<\/td>link<\/a><\/td><\/tr>
2013 – 2017 – Map of incentivized forest plantations in Ecuador, scale 1:5,000, year 2013 – 2017<\/td>Ministry of Agriculture and Livestock<\/td>Forest 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.<\/td>link<\/a><\/td><\/tr>
Map of Vegetation Cover of Continental Ecuador 1982<\/td>Ministry of Agriculture and Livestock<\/td>Vegetation cover classification, scale 1:250,000 updated to 31\/Dec\/2014<\/td>link<\/a><\/td><\/tr>
Map of Vegetation Cover of Continental Ecuador 1990<\/td>Ministry of Agriculture and Livestock<\/td>Vegetation cover classification, scale 1:250,000 updated to 31\/Dec\/2014<\/td>link<\/a><\/td><\/tr>
Deforestation and regeneration at the provincial level from 1990 to 2000 of continental Ecuador<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>Spatial 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.<\/td>link<\/a><\/td><\/tr>
Deforestation and regeneration at the provincial level in the period 2000 \u2013 2008 in continental Ecuador<\/td>Ministry of the Environment, Water and Ecological Transition<\/td>Spatial 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.<\/td>link<\/a><\/td><\/tr>
Deforestaci\u00f3n y regeneraci\u00f3n a nivel provincial del per\u00edodo 1990 \u2013 2000 del Ecuador continental<\/td>Ministerio del Ambiente de Ecuador (MAE)<\/td>Distribuci\u00f3n espacial de din\u00e1micas de deforestaci\u00f3n o regneraci\u00f3n 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 a\u00f1os 1990 y 2000.<\/td>link<\/a><\/td><\/tr>
Deforestaci\u00f3n y regeneraci\u00f3n a nivel provincial del per\u00edodo 2000 \u2013 2008 del Ecuador continental<\/td>Ministerio del Ambiente de Ecuador (MAE)<\/td>Distribuci\u00f3n espacial de din\u00e1micas de deforestaci\u00f3n o regneraci\u00f3n 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 a\u00f1os 2000 y 2008.<\/td>link<\/a><\/td><\/tr>
Deforestaci\u00f3n y regeneraci\u00f3n a nivel provincial del per\u00edodo 2008 \u2013 2014 del Ecuador continental<\/td>Ministerio del Ambiente de Ecuador (MAE)<\/td>Distribuci\u00f3n espacial de din\u00e1micas de deforestaci\u00f3n o regneraci\u00f3n 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 a\u00f1os 2008 y 2014.<\/td>link<\/a><\/td><\/tr>
Deforestaci\u00f3n y regeneraci\u00f3n a nivel provincial del per\u00edodo 2014 \u2013 2016 del Ecuador continental<\/td>Ministerio del Ambiente de Ecuador (MAE)<\/td>Distribuci\u00f3n espacial de din\u00e1micas de deforestaci\u00f3n o regneraci\u00f3n 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 a\u00f1os 2014 y 2016.<\/td>link<\/a><\/td><\/tr>
Deforestaci\u00f3n y regeneraci\u00f3n a nivel provincial del per\u00edodo 2016 \u2013 2018 del Ecuador continental<\/td>Ministerio del Ambiente de Ecuador (MAE)<\/td>Distribuci\u00f3n espacial de din\u00e1micas de deforestaci\u00f3n o regneraci\u00f3n 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 a\u00f1os 2016 y 2018.<\/td>link<\/a><\/td><\/tr>
Deforestaci\u00f3n y regeneraci\u00f3n a nivel provincial del per\u00edodo 2020 \u2013 2022 del Ecuador continental<\/td>Ministerio del Ambiente de Ecuador (MAE)<\/td>Distribuci\u00f3n espacial de din\u00e1micas de deforestaci\u00f3n o regneraci\u00f3n 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 a\u00f1os 2020 y 2022.<\/td>link<\/a><\/td><\/tr>
Mapa de Vegetaci\u00f3n de Venezuela<\/td>Huber O, Alarc\u00f3n C (1988) Mapa de Vegetaci\u00f3n de Venezuela. Ministerio del Ambiente y de los Recursos Naturales Renovables. TheNature Conservance.<\/td>Vegetation map of Venezuela at a scale of 1:2,000,000<\/td><\/td><\/tr>
Guayana Venezolana: Mapa de Vegetaci\u00f3n<\/td>Huber, O. & T Rodriguez. 1995. Mapa de vegetaci\u00f3n de la Guayana venezolana.
Fundaci\u00f3n Instituto Bot\u00e1nico de Venezuela (FIBV), Caracas.<\/td>		Vegetation map of the Venezuelan Guayana, at a scale of 1:2,000,000<\/td>link<\/a><\/td><\/tr>
Mapa de Vegetaci\u00f3n de Venezuela<\/td>MARN (2003) Mapa de Vegetaci\u00f3n de Venezuela 1:2.000.000. Ministerio del Ambiente y de los Recursos Naturales (MARN), Instituto Geogr\u00e1fico de Venezuela Sim\u00f3n Bol\u00edvar; Caracas.<\/td>Vegetation map of Venezuela at a scale of 1:2,000,000<\/td><\/td><\/tr>
Mapa digital de los ecosistemas terrestres de Venezuela<\/td>Huber, O. y M.A. Oliveira-Miranda. (2010). Ambientes terrestres. Pp: 29-89. En: J.P. Rodr\u00edguez, F. Rojas-Su\u00e1rez & D. Giraldo Hern\u00e1ndez (eds.). Libro Rojo de los Ecosistemas Terrestres de Venezuela. Provita, Shell Venezuela, Lenovo (Venezuela). Caracas:Venezuela.<\/td>Digital map of terrestrial ecosystems of Venezuela in shapefile format<\/td><\/td><\/tr>
Mapa de Ecosistemas de Venezuela<\/td>MPPAMB (2014). Mapa de Ecosistemas de Venezuela. 1: 2.000.000. Ministerio del Poder Popular para el Ambiente; Caracas.<\/td>Ecosystem map of Venezuela at a scale of 1:2,000,000<\/td><\/td><\/tr>
An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm<\/td>An 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 \u2026 Show more
BioScience, Volume 67, Issue 6, June 2017, Pages 534\u2013545, https:\/\/doi.org\/10.1093\/biosci\/bix014
Published: 05 April 2017<\/td>		Digital map of biomes and ecoregions in shapefile format<\/td>link<\/a><\/td><\/tr>
Global Surface Water 1984-2021<\/td>Jean-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)<\/td>Global digital map of surface water presence, 1984-2021. Raster format, pixel 30 m<\/td>link<\/a><\/td><\/tr>
Global Forest Canopy Height, 2019<\/td>P. 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.2020.112165<\/td>Global digital map of canopy height, 1984-2021. Raster format, pixel 30 m<\/td>link<\/a><\/td><\/tr>
World Settlement Footprint (WSF) 2019 \u2013 Sentinel-1\/2 \u2013 Global<\/td>Understanding Current Trends in Global Urbanisation \u2013 The World Settlement Footprint Suite. Mattia Marconcini, Annekatrin Metz- Marconcini, Thomas Esch and Noel Gorelick. GI_Forum 2021, Issue 1 Page: 33 \u2013 38 Research Paper DOI: 10.1553\/giscience2021_01_s33<\/td>Global digital map of human settlements, 2019. Generated with Sentinel-2. Raster format, 10 m pixel<\/td>link<\/a><\/td><\/tr>
ESRI 10m Annual Land Use Land Cover (2017-2022)<\/td>Karra, Kontgis, et al. \u201cGlobal land use\/land cover with Sentinel-2 and deep learning.\u201d IGARSS 2021-2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021.<\/td>Land cover and use map with 10 m pixel, 2017-2022. Raster format<\/td>link<\/a><\/td><\/tr>
ESA WorldCover 2020 v100<\/td>Zanaga, 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.5571936<\/td>Land cover and use map with 10 m pixel, 2020. Raster format<\/td>link<\/a><\/td><\/tr>
ESA WorldCover 2021 v200<\/td>Zanaga, 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.7254221<\/td>Land cover and use map with 10 m pixel, 2021. Raster format, 10 m pixel<\/td>link<\/a><\/td><\/tr>
Mapa de ecosistemas. 2012.<\/td>SINCHI<\/td>Aquatic 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).<\/td><\/a>link<\/a><\/td><\/tr>
Land Cover in the Colombian Amazon. 2002.<\/td>SINCHI<\/td>Land cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2002.<\/td><\/a>link<\/a><\/td><\/tr>
Land Cover in the Colombian Amazon. 2007.<\/td>SINCHI<\/td>Land cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2007.<\/td><\/a>link<\/a><\/td><\/tr>
Land Cover in the Colombian Amazon. 2012.<\/td>SINCHI<\/td>Land cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2012.<\/td><\/a>link<\/a><\/td><\/tr>
Land Cover in the Colombian Amazon. 2014.<\/td>SINCHI<\/td>Land cover map of the Colombian Amazon at a scale of 1:100,000 for the year 2014.<\/td><\/a>link<\/a><\/td><\/tr>
Agricultural Landscapes in the Colombian Amazon. 2002.<\/td>SINCHI<\/td>Agricultural 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.<\/td><\/a>link<\/a><\/td><\/tr>
Agricultural Landscapes in the Colombian Amazon. 2007.<\/td>SINCHI<\/td>Agricultural 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.<\/td><\/a>link<\/a><\/td><\/tr>
Agricultural Landscapes in the Colombian Amazon. 2012.<\/td>SINCHI<\/td>Agricultural 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.<\/td><\/a>link<\/a><\/td><\/tr>
Agricultural Landscapes in the Colombian Amazon. 2014.<\/td>SINCHI<\/td>Agricultural 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.<\/td><\/a>link<\/a><\/td><\/tr>
Land Cover CORINE Land Cover methodology adapted for Colombia. 2018.<\/td>IDEAM, SINCHI, PNN<\/td>The 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 Andr\u00e9s, 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.<\/td>link<\/a><\/td><\/tr>
Land cover 2000 – 2002.<\/td>IDEAM<\/td>Mapa de Coberturas de la Tierra Metodolog\u00eda Corine Land Cover Adaptada para Colombia Escala 1:100.000Periodo 2000 – 2002<\/td><\/a>link<\/a><\/td><\/tr>
Land cover 2005 – 2009.<\/td>IDEAM<\/td>Mapa de Coberturas de la Tierra Metodolog\u00eda Corine Land Cover Adaptada para Colombia Escala 1:100.000Periodo 2005 – 2009<\/td><\/a>link<\/a><\/td><\/tr>
Colombian Mining Monitoring (COMIMO).<\/td>Universidad del Rosario<\/td>Land Cover Map Corine Land Cover Methodology Adapted for Colombia Scale 1:100,000 Period 2000 – 2002<\/td><\/a>link<\/a><\/td><\/tr>
Tree Cover Height.<\/td>World Resources Institute (WRI)<\/td>Land Cover Map Corine Land Cover Methodology Adapted for Colombia Scale 1:100,000 Period 2005 – 2009<\/td><\/a>link<\/a><\/td><\/tr>
Mapa de Ecorregiones Terrestres Mundiales (ETM)<\/td>WWF<\/td>Biogeographic 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.<\/td><\/a>link<\/a><\/td><\/tr>
Planet & NICFI Basemaps for Tropical Forest Monitoring – Tropical Americas.<\/td>Planet Team<\/td>Semiannual or monthly Planet Scope image mosaics.<\/td><\/a>link<\/a><\/td><\/tr>
Global 2010 Tree Cover (30 m).<\/td>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.G<\/td>Global 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 \u200b\u200bfrom 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 \u200b\u200bfrom 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 \u200b\u200b(1-100).<\/td><\/a>link<\/a><\/td><\/tr>
Bing Maps<\/td>Microsoft<\/td>Bing 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.<\/td><\/a>link<\/a><\/td><\/tr>
Hansen Global Forest Change v1.8.<\/td>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. Townshend<\/td>Results of time series analysis of Landsat images to characterize the extent and change of forests worldwide.<\/td><\/a>link<\/a><\/td><\/tr>
Map of Wetlands in the Amazon Basin<\/td><\/a>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. <\/a>https:\/\/doi.org\/10.3334\/ORNLDAAC\/1284<\/a><\/a><\/td>Map of wetland extent, vegetation type and flooding status in two seasons for the entire lower Amazon basin<\/td><\/a>link<\/a><\/td><\/tr>
Global Wetlands Map<\/td><\/a>Gumbricht, T., Rom\u00e1n-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: <\/a>http:\/\/www.cifor.org\/pid\/6419<\/a><\/td>Hydro-geomorphological model based on an expert system approach to estimate wetland areas.<\/td><\/a>link<\/a><\/td><\/tr>
Global Wetlands Map<\/td><\/a>Tootchi, Ardalan; Jost, Anne; Ducharne, Agn\u00e8s (2018): Multi-source global wetland maps combining surface water imagery and groundwater constraints. Sorbonne Universit\u00e9, Paris, France, PANGAEA, <\/a>https:\/\/doi.org\/10.1594\/PANGAEA.892657<\/a><\/td>Composite wetland maps combining two classes of wetlands: (1) regularly flooded wetlands and (2) groundwater-driven wetlands.<\/td><\/a>link<\/a><\/td><\/tr>
Non-forested areas map<\/td>INPE<\/td>Mask of non-forested areas in the Amazon<\/td><\/a>link<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"featured_media":0,"template":"","acf":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false,"infographic":false,"team":false},"uagb_author_info":{"display_name":"Adriel Fernandes","author_link":"https:\/\/amazonia.mapbiomas.org\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Map name\/Product Font \/ Author Description Download URL Ecoregions and ecosystems. Biodiversity: The wealth of Bolivia Ibisch,P., Beck, S.,Gerkmann, B., Carretero, A., 2003 Ecorregi\u00f5es e ecossistemas da Bol\u00edvia Vegetation and biogeographic units of Bolivia Gonzalo Navarro, 2002 Classification of vegetation in Bolivia Gonzalo Navarro, 2011 Map of current land cover and use in Bolivia, 2010…","_links":{"self":[{"href":"https:\/\/amazonia.mapbiomas.org\/en\/wp-json\/wp\/v2\/map\/2045"}],"collection":[{"href":"https:\/\/amazonia.mapbiomas.org\/en\/wp-json\/wp\/v2\/map"}],"about":[{"href":"https:\/\/amazonia.mapbiomas.org\/en\/wp-json\/wp\/v2\/types\/map"}],"wp:attachment":[{"href":"https:\/\/amazonia.mapbiomas.org\/en\/wp-json\/wp\/v2\/media?parent=2045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}