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Service Description: Mato Grosso is a frontier in the sense that natural vegetation, both rainforest and savanna, known as cerrado, are being replaced with crop production and other agricultural uses. Mechanized agriculture moved rapidly into the area in the 1990s, with soybeans the dominant crop. Since then, crop production increases have come about through both cropland expansion (horizontal intensification) and a transition from predominantly single-cropping to mostly double-cropping (vertical intensification). In July 2006, the Soy Moratorium was implemented with the purpose of reducing Amazon deforestation for the purpose of soy production.
Normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data, it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production. To interpret the satellite data, researchers from Empresa Brasileira de Pesquisa Agropecuária (Embrapa), the Brazilian equivalent of the USDA, collected an unprecedented amount of ground reference data in Mato Grosso by interviewing farmers, tracing field boundaries on printed satellite imagery and obtaining cropping histories for various parcels of land. This unique, spatially extensive 9-year (2005-2013) ground reference dataset was used to classify, with approximately 80% accuracy, the MODIS NDVI data. The results were merged with carefully processed annual forest and sugarcane coverages developed by Brazil's National Institute for Space Research (INPE) to produce land cover maps for MT for the 2001-2014 crop years, where a crop year runs from August of the preceding year through July of the nominal year. Static urban and water layers, obtained from the Brazilian Institute of Geography and Statistics (IBGE), round out the land cover maps.
Map Name: Mato Grosso - Base Layers
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Description: Mato Grosso is a frontier in the sense that natural vegetation, both rainforest and savanna, known as cerrado, are being replaced with crop production and other agricultural uses. Mechanized agriculture moved rapidly into the area in the 1990s, with soybeans the dominant crop. Since then, crop production increases have come about through both cropland expansion (horizontal intensification) and a transition from predominantly single-cropping to mostly double-cropping (vertical intensification). In July 2006, the Soy Moratorium was implemented with the purpose of reducing Amazon deforestation for the purpose of soy production.
Normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data, it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production. To interpret the satellite data, researchers from Empresa Brasileira de Pesquisa Agropecuária (Embrapa), the Brazilian equivalent of the USDA, collected an unprecedented amount of ground reference data in Mato Grosso by interviewing farmers, tracing field boundaries on printed satellite imagery and obtaining cropping histories for various parcels of land. This unique, spatially extensive 9-year (2005-2013) ground reference dataset was used to classify, with approximately 80% accuracy, the MODIS NDVI data. The results were merged with carefully processed annual forest and sugarcane coverages developed by Brazil's National Institute for Space Research (INPE) to produce land cover maps for MT for the 2001-2014 crop years, where a crop year runs from August of the preceding year through July of the nominal year. Static urban and water layers, obtained from the Brazilian Institute of Geography and Statistics (IBGE), round out the land cover maps.
Land cover raster data are in the UTM Zone 21S (WGS84) projection with a (0,0) registration coordinate and a 240-m pixel size (5.76 ha/pixel). Ancillary vector data layers were obtained from IBGE. Land Cover Data Citation
Kastens JH, Brown JC, Coutinho AC, Bishop CR, Esquerdo JCDM (2017). Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. PLoS ONE 12(4): e0176168. https://doi.org/10.1371/journal.pone.0176168
Copyright Text: Kansas Biological Survey / Kansas Applied Remote Sensing Program
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -7006263.796881193
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Spatial Reference: 102100
(3857)
Full Extent:
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XMax: -5590949.855565143
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Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
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Title: Mato Grosso - Base Layers
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Comments: Mato Grosso is a frontier in the sense that natural vegetation, both rainforest and savanna, known as cerrado, are being replaced with crop production and other agricultural uses. Mechanized agriculture moved rapidly into the area in the 1990s, with soybeans the dominant crop. Since then, crop production increases have come about through both cropland expansion (horizontal intensification) and a transition from predominantly single-cropping to mostly double-cropping (vertical intensification). In July 2006, the Soy Moratorium was implemented with the purpose of reducing Amazon deforestation for the purpose of soy production.
Normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data, it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production. To interpret the satellite data, researchers from Empresa Brasileira de Pesquisa Agropecuária (Embrapa), the Brazilian equivalent of the USDA, collected an unprecedented amount of ground reference data in Mato Grosso by interviewing farmers, tracing field boundaries on printed satellite imagery and obtaining cropping histories for various parcels of land. This unique, spatially extensive 9-year (2005-2013) ground reference dataset was used to classify, with approximately 80% accuracy, the MODIS NDVI data. The results were merged with carefully processed annual forest and sugarcane coverages developed by Brazil's National Institute for Space Research (INPE) to produce land cover maps for MT for the 2001-2014 crop years, where a crop year runs from August of the preceding year through July of the nominal year. Static urban and water layers, obtained from the Brazilian Institute of Geography and Statistics (IBGE), round out the land cover maps.
Land cover raster data are in the UTM Zone 21S (WGS84) projection with a (0,0) registration coordinate and a 240-m pixel size (5.76 ha/pixel). Ancillary vector data layers were obtained from IBGE. Land Cover Data Citation
Kastens JH, Brown JC, Coutinho AC, Bishop CR, Esquerdo JCDM (2017). Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. PLoS ONE 12(4): e0176168. https://doi.org/10.1371/journal.pone.0176168
Subject: Mato Grosso Base Layers.Dynamic Service. Projection: WGS 84
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Keywords: Agriculture,Amazon,Brazil,Cerrado,cotton,deforestation,intensification,land cover mapping,land use change,Mato Grosso,MODIS,NDVI,remote sensing,soybeans,sugar cane
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Supported Query Formats: JSON, geoJSON, PBF
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