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Land-use and land cover (LULC) map of 2014. The LULC classes mapping consisted firstly in obtaining TM/Landsat images, available in the “Earth Explorer” catalog from the US Geological Survey (http://earthexplorer.usgs.gov/). In the aforementioned catalog, images with geometric correction “level 1–L1T” were selected. This product uses reference data field (ground control points) and digital elevation data of the terrain to obtain the best possible accuracy of the land surface. To cover the entire study area, the images of July were obtained. Images of the rainy season were also used to highlight the contrast between areas of grassland and agriculture, because in the dry period, the straw from crops presents similar spectral response as dry grassland. The Geographic Information System software SPRING was used to create a geographical database and to segment the selected images. The polygon segmentation process was chosen to automatize the process in order to obtain time and precision leverages. The segments created in SPRING were exported as shapefiles and manually classified by using the software Quantum GIS. An interpretation key with auxiliary information for the visual classification of the interest classes, cropland, forestry, pasture, urban area, and others was established using the method proposed by Gomes et al. and Espirito-Santo. Additional information like temporal series of enhanced vegetation index (EVI-2) provided by the Brazilian National Institute for Space Research (INPE) was also used for the interpretation key. In: BULLER, L.S.; BERGIER, I.; ORTEGA, E.; MORAES, A.; BAYMA-SILVA, G.; ZANETTI, M.R.. Soil improvement and mitigation of greenhouse gas emissions for integrated crop-livestock systems: Case study assessment in the Pantanal savanna highland, Brazil. Agricultural Systems, v. 137, p. 206-219, 2014