Description: This data set was created by Transparent World, with the support of Global Forest Watch. Many studies depicting forest cover and forest change cannot distinguish between natural forests and plantations. This data set attempts to distinguish tree plantations from natural forest for seven key countries: Brazil, Cambodia, Colombia, Indonesia, Liberia, Malaysia, and Peru.
Given the variability of plantations and their spectral similarity to natural forests, this study used visual interpretations of satellite imagery, primarily [Landsat](http://landsat.usgs.gov/), supplemented by high resolution imagery (Google Maps, Bing Maps, or Digital Globe), where available, to locate plantations. Analysts hand-digitized plantation boundaries based on several key visual criteria, including texture, shape, color, and size.
Each polygon is labelled with the plantation type and when possible, the species. A “gr” in front of the species name indicates a group of species, such as pines or fruit, where the individual species was not identifiable. The percentage of plantation coverage indicates a rough estimate of the prevalence of plantation within apolygon (as in the case of a mosaic). Types are defined as follows:
Large industrial plantation: single plantation units larger than 100 hectares
Mosaic of medium-sized plantations: mosaic of plantation units < 100 hectares embedded within patches of other land use
Mosaic of small-sized plantations: mosaic of plantation units < 10 hectares embedded within patches of other land use.
Clearing/ very young plantation: bare ground with contextual clues suggesting it will become a plantations (shape or pattern of clearing, proximity to other plantations, distinctive road network, etc)
For more information on this data set and how it was produced, see the forthcoming WRI Technical Note associated with this project.
Description: This data set was created by Transparent World, with the support of Global Forest Watch. Many studies depicting forest cover and forest change cannot distinguish between natural forests and plantations. This data set attempts to distinguish tree plantations from natural forest for seven key countries: Brazil, Cambodia, Colombia, Indonesia, Liberia, Malaysia, and Peru.
Given the variability of plantations and their spectral similarity to natural forests, this study used visual interpretations of satellite imagery, primarily [Landsat](http://landsat.usgs.gov/), supplemented by high resolution imagery (Google Maps, Bing Maps, or Digital Globe), where available, to locate plantations. Analysts hand-digitized plantation boundaries based on several key visual criteria, including texture, shape, color, and size.
Each polygon is labelled with the plantation type and when possible, the species. A “gr” in front of the species name indicates a group of species, such as pines or fruit, where the individual species was not identifiable. The percentage of plantation coverage indicates a rough estimate of the prevalence of plantation within apolygon (as in the case of a mosaic). Types are defined as follows:
Large industrial plantation: single plantation units larger than 100 hectares
Mosaic of medium-sized plantations: mosaic of plantation units < 100 hectares embedded within patches of other land use
Mosaic of small-sized plantations: mosaic of plantation units < 10 hectares embedded within patches of other land use.
Clearing/ very young plantation: bare ground with contextual clues suggesting it will become a plantations (shape or pattern of clearing, proximity to other plantations, distinctive road network, etc)
For more information on this data set and how it was produced, see the forthcoming WRI Technical Note associated with this project.
Description: This layer shows mining concessions for Brazil from the National Department of Mineral Production (DNPM), downloaded November 2015 from the SIGMINE web portal. The polygons in this layer represent approved concessions for mineral exploration and extraction, as well as concessions in application or available concessions.
Description: This data set displays the boundaries of areas designated as indigenous lands in Brazil. Indigenous lands legally recognize indigenous peoples’ perpetual rights of access, use, withdrawal, management, and exclusion over the land and associated resources. Alienation of the land is prohibited. However, commercial use of forest resources is permitted, but cutting trees for sale requires approval by the National Legislature. Rights to subsoil resources may be obtained only with the approval of the National Legislature and after consultation with the affected indigenous peoples. This data set includes indigenous lands that are officially registered and those at various stages of the registration process.
Definition Expression: N/A
Copyright Text: Fundação Nacional do Índio (FUNAI)
Description: This data set displays the boundaries of six Brazilian continental biomes: the Amazônia, Cerrado, Caatinga, Mata Atlântica, Pantanal and Pampa. “Biome” is defined as a collection of life (plant and animal) constituted by the grouping of contiguous vegetation types identifiable on a regional scale with similar geoclimatic conditions and shared history, which results in a unique biological diversity. The names used were the most common and popular in general associated with the predominant type of vegetation or relief, as in the case of Pantanal biome, which is the highest provincial flooded surface of the world.
The Amazon Biome is defined by the climatic region, forest physiognomy and geographic location. The Atlantic Forest biome, which occupies the entire Brazilian continental east Atlantic coast and stretches inland in the Southeast and South, is defined by the predominant forest vegetation and diverse relief. The Pampa, restricted to Rio Grande do Sul, is defined by a set of field vegetation in plain relief. The predominant vegetation in the Cerrado biome in Brazil, second in size, extends from the Maranhão coast to the Midwest and the Caatinga Biome, typical of semi-arid climate of the northeastern backlands. The map is a result of a partnership between the Brazilian Ministry of Environemnt (MMA) and the Brazilian Institute of Geography and Statistics (IBGE). To read more about the data set, please visit: http://www.ibge.gov.br/home/presidencia/noticias/21052004biomashtml.shtm.
Description: This data set displays the boundaries of the 24 legally-recognized and titled indigenous territories in Costa Rica as of 2008. It was created by the Observatorio del Desarrollo within the Universidad de Costa Rica, and is made available through the online Digital Atlas of Indigenous Peoples. Data sources include the Universidad de Costa Rica, la Universidad Nacional, and el Instituto Tecnológico. To view the interactive Atlas, please visit [pueblosindigenas.odd.ucr.ac.cr/](pueblosindigenas.odd.ucr.ac.cr/)
Definition Expression: N/A
Copyright Text: El Observatorio del Desarrollo, Universidad de Costa Rica
Description: This data set was created by Transparent World, with the support of Global Forest Watch. Many studies depicting forest cover and forest change cannot distinguish between natural forests and plantations. This data set attempts to distinguish tree plantations from natural forest for seven key countries: Brazil, Cambodia, Colombia, Indonesia, Liberia, Malaysia, and Peru.
Given the variability of plantations and their spectral similarity to natural forests, this study used visual interpretations of satellite imagery, primarily [Landsat](http://landsat.usgs.gov/), supplemented by high resolution imagery (Google Maps, Bing Maps, or Digital Globe), where available, to locate plantations. Analysts hand-digitized plantation boundaries based on several key visual criteria, including texture, shape, color, and size.
Each polygon is labelled with the plantation type and when possible, the species. A “gr” in front of the species name indicates a group of species, such as pines or fruit, where the individual species was not identifiable. The percentage of plantation coverage indicates a rough estimate of the prevalence of plantation within apolygon (as in the case of a mosaic). Types are defined as follows:
Large industrial plantation: single plantation units larger than 100 hectares
Mosaic of medium-sized plantations: mosaic of plantation units < 100 hectares embedded within patches of other land use
Mosaic of small-sized plantations: mosaic of plantation units < 10 hectares embedded within patches of other land use.
Clearing/ very young plantation: bare ground with contextual clues suggesting it will become a plantations (shape or pattern of clearing, proximity to other plantations, distinctive road network, etc)
For more information on this data set and how it was produced, see the forthcoming WRI Technical Note associated with this project.
Description: This data set was created by Transparent World, with the support of Global Forest Watch. Many studies depicting forest cover and forest change cannot distinguish between natural forests and plantations. This data set attempts to distinguish tree plantations from natural forest for seven key countries: Brazil, Cambodia, Colombia, Indonesia, Liberia, Malaysia, and Peru.
Given the variability of plantations and their spectral similarity to natural forests, this study used visual interpretations of satellite imagery, primarily [Landsat](http://landsat.usgs.gov/), supplemented by high resolution imagery (Google Maps, Bing Maps, or Digital Globe), where available, to locate plantations. Analysts hand-digitized plantation boundaries based on several key visual criteria, including texture, shape, color, and size.
Each polygon is labelled with the plantation type and when possible, the species. A “gr” in front of the species name indicates a group of species, such as pines or fruit, where the individual species was not identifiable. The percentage of plantation coverage indicates a rough estimate of the prevalence of plantation within apolygon (as in the case of a mosaic). Types are defined as follows:
Large industrial plantation: single plantation units larger than 100 hectares
Mosaic of medium-sized plantations: mosaic of plantation units < 100 hectares embedded within patches of other land use
Mosaic of small-sized plantations: mosaic of plantation units < 10 hectares embedded within patches of other land use.
Clearing/ very young plantation: bare ground with contextual clues suggesting it will become a plantations (shape or pattern of clearing, proximity to other plantations, distinctive road network, etc)
For more information on this data set and how it was produced, see the forthcoming WRI Technical Note associated with this project.
Description: This data set provides the boundaries of mining titles (títulos mineros concedidos) for Colombia. The shapefiles are compiled by [Tierra Minada](https://sites.google.com/site/tierraminada/), a Colombian civil society group, utilizing information from the Colombian Mining Registry, which is maintained by the National Mining Agency. For more information about the data sets, visit the Tierra Minada website or [Colombia’s Mining Cadaster Portal](http://www.simco.gov.co/Inicio/CatastroMineroColombiano/tabid/107/Default.aspx).
Definition Expression: N/A
Copyright Text: Tierra Minada; Agencia Nacional de Minería de Colombia.
Description: This data set displays the boundaries of areas designated as comarcas in Panama. Comarcas are legally recognized semi-autonomous areas where indigenous peoples own the land and resources with rights of access, use, withdrawal, management, and exclusion. Although the Government retains ownership of subsoil resources, the indigenous community must be consulted by government and private organizations for proposed developments on their lands. The government and mining concessionaire are required to guarantee benefits to the community and compliance with sustainable development practices.
Definition Expression: N/A
Copyright Text: National Coordinating Body of Indigenous Peoples in Panama (COONAPIP)
Description: Datos espaciales de las Áreas Naturales Protegidas Federales de la República Mexicana construidos en apego a los decretos de creación publicados en el Diario Oficial de la Federación. Manejo de datos espaciales con herramientas de los sistemas de información geográfica de la Comisión Nacional de las Áreas Naturales Protegidas.
Definition Expression: N/A
Copyright Text: Comisión Nacional de Áreas Naturales Protegidas, Dirección de Evaluación y Seguimiento, Subdirección Encargada de la Coordinación de Geomática.
Description: This data set was created by Transparent World, with the support of Global Forest Watch. Many studies depicting forest cover and forest change cannot distinguish between natural forests and plantations. This data set attempts to distinguish tree plantations from natural forest for seven key countries: Brazil, Cambodia, Colombia, Indonesia, Liberia, Malaysia, and Peru. Given the variability of plantations and the spectral similarity to natural forests, this study used visual interpretation of satellite imagery, primarily Landsat, supplemented by high resolution imagery (Google Maps, Bing Maps, or Digital Globe) where available. Analysts hand-digitized plantation boundaries based on several key visual elements, including texture, shape, color, and size. For more information on the methodology used to produce this data set, see the forthcoming WRI Technical Note associated with this project.Each polygon is labelled with the plantation type (industrial plantation, medium-sized plantation mosaic with other land use, small-sized plantation mosaic with other land use, and clearings/ very young plantations) and when possible, the species. A “gr” in front of the species name indicates a group of species, such as pines or fruit. The percent of plantation coverage indicates a rough estimate of the prevalence of plantation within that polygon (as in the case of a mosaic).
Description: The administrative unit known as the Brazilian Legal Amazon encompasses the states of Acre, Amapá, Amazonas, Pará, Rondônia, Roraima, Tocantins, Mato Grosso, and part of Maranhão.
Description: The area cultivated with the 1st crop season of soybean, corn, and cotton was assessed through Landsat and MODIS images acquired during the 2013/14 crop year. The interpretative analyses of Landsat images were complemented with a time series of MODIS images, allowing the identification and mapping of soybean, corn, and cotton fields.Attribute table description:NM_MUNICIP: Municipalities' name.CD_GEOCMU: Municipalities' Geocode UF: States' initialsID_classe: Class ID101112area_ha: Total area (ha)class: Annual Crops - 2013/2014soycorncottoncolor: Suggested color#4CE501#015B35#FF5500Further informations may be found in: biomas.agrosatelite.com.br
Definition Expression: N/A
Copyright Text: Produced by: Agrosatélite Geotecnologia Aplicada Ltd. (www.agrosatelite.com.br)
Grantee: Gordon and Betty Moore Foundation.
Agrosatélite Applied Geotechnology Ltd.
Geospatial Analyses of the Annual Crops Dynamic in the Brazilian Cerrado Biome: 2000 to 2014 / Rudorff, B.; Risso, J. et al., 2015
Florianópolis, Santa Catarina, Brazil, 2015.
28p.
biomas.agrosatelite.com.br
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