Soil Erosion Satellite-Based Estimation in Cropland for Soil Conservation

Intensive cropland expansion for an increasing population has driven soil degradation worldwide. Modeling how agroecosystems respond to variations in attributes, relief and crop management dynamics can guide conservation. This research presents a new approach evaluate loss by water erosion using the RUSLE model Synthetic Soil Image (spectroscopy technique), which uses time series remotely sensed environmental, agricultural anthropic variables, southeast region of São Paulo State, Brazil. The availability open-access satellite images Tropical Rainfall Measuring Mission (TRMM) Landsat provided ten years rainfall data 35 exposed surface. bare surface land use were extracted, multi-temporal erosivity was assessed. We predict maps’ attributes (texture organic matter) through innovative spectroscopy techniques assess erodibility tolerance. erosivity, erodibility, topography obtained Earth observations adopted estimate four scenarios sugarcane (Saccharum spp.) residue coverage (0%, 50%, 75%, 100%) five cycle: first year harvest subsequent harvesting from 2013 2017. tolerance means 4.3 Mg ha?1 exceeds minimum rate 40% region, resulting total ~6 million yr?1 under (7 ha?1). Our findings suggest that straw production not been sufficient protect against erosion. Thus, removal is unfeasible unless alternative conservation practices are adopted, such as tillage, contour lines, terracing other favor increases matter content flocculating cations. also identifies spatiotemporal erosion-prone area requests immediately sustainable development restore rehabilitate vulnerable ecosystem service. high-resolution spatially distribution method identify degradation-prone areas frequency. information may farms policymakers better request according site-specific variation.