Revista Brasileira de Cartografia · 2017 · 54 citations · 16 references
Natural SciencesEarth SciencesGeographyLandscape Change DetectionLandscape Pattern AnalysisRemote SensingGeospatial Computer VisionLand Cover Change DetectionLand Cover ClassificationLand Cover MappingRemote Sensing Image AnalysisGeographical Information System MappingLand Cover AnalysisLand Cover AssessmentLand MappingLand Use MappingRgb Color ModelStudy Area DelineationUrban Land Cover Mapping
The Brazilian Cerrado is one of the world´s biodiversity hotspot and hosts some of the most intensive agricultural activities for food production in the world. The objective of this study was to produce a land-use and land-cover (LULC) map of the Cerrado based on Landsat-8 Operational Land Imager (OLI) images. A set of 121 scenes from 2013 was processed using the image segmentation technique. The segments were exported in the shapeï¬ le format and interpreted visually in a geographical information system software using RGB/564 color composites. The following LULC classes were considered: annual croplands, perennial croplands, cultivated pasturelands, reforestation, mosaic of occupation, urban areas, mining areas, bare soil, forestlands, non-forestlands, water bodies, and non-identiï¬ ed (clouds and burned areas). The overall accuracy was estimated by an independent scientist with large experience in Cerrado´s image interpretation. The results showed that 43.4% of the study area (88.5 million hectares) were already converted into agricultural, urban and mining areas, 54.6% (111 million hectares) were still natural areas, and 1.9% (3.9 million hectares) was classiï¬ed as non-identiï¬ed. Cultivated pasturelands were the most representative land-use type (29.5%), followed by annual croplands (8.5%) and perennial croplands (3.1%). The overall accuracy of the ï¬nal map was 80.2%.
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