MODELING LAND DEGRADATION USING REMOTE SENSING DATA: THE CASE OF SEYHAN BASIN

Abstract. Land degradation is a global barrier to ecological, economic and sustainable developments. Climate change, natural disasters, human activities may result changes in soil organic carbon content, land productivity use/cover. change accelerating expanding these degraded areas. If destruction not minimized, cause increasing population, inappropriate use, climate rapid depletion of resources etc. the coming years. It estimated that desertification will be most important environmental problems. Mapping using remote sensing techniques; determining sensitive areas for taking protection measures; management resources, ensuring agricultural production, are key factors. This study was conducted Seyhan basin, which suffer from loss processes, cover use. These indicators are; trends dynamics, stocks. The data set utilized reveal including; 1 km resolution Productivity JRC GLOBAL (1999–2013) 250 m NDVI MOD13Q1 (2000–2015), Cover ESA CCI's with 300 LC SOC stock LUCAS (JRC) resolution, 2000–2018 CORINE. basin mapped specified together One Out All (1OAO) rule.