Mato Grosso Land Cover
Published on June 14, 2017 by Chris Bishop
Tags: Agriculture, Amazon, Cerrado, Cotton, Deforestation, Intensification, Land Cover Mapping, Land Use Change, Mato Grosso, MODIS, NDVI, Remote sensing, Soybeans, Sugarcane
Soy next to forest in Mato Grosso, Brazil
Land change in central Mato Grosso, Brazil
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, Brazil. With these data, it has become possible to track Mato Grosso agriculture, which accounts for about 85% of Brazilian Amazon soy production. To interpret the satellite data, researchers from the Brazilian Agricultural Research Corporation (Embrapa) 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 Mato Grosso 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). These and other data are available for download from PLOS ONE. 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 DOI: 10.1371/journal.pone.0176168
Brown JC, Kastens JH, Coutinho AC, Victoria DC, Bishop CR (2013). Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data, Remote Sensing of Environment 130(3): 39-50: DOI: 10.1016/j.rse.2012.11.009
Brown JC, Jepson WE, Kastens JH, Wardlow BD, Lomas JM, and Price KP (2007). High temporal resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon. GIScience and Remote Sensing 44(2): 117-148. DOI: 10.2747/1548-1603.44.2.117