Spatial estimation and climate projected change of cover-management factor in semi-arid region of India

Soil erosion and its future projection play an important role in the changing climatic scenario. An attempt has been made to establish a relationship between NDVI cover-management factor (C-factor) which varies with area crop. IRS LISS III data 23.5 m resolution is used derive precisely correlated C-factor, derived regression equation shows good C-factor value. approach was use this specific for getting C- whole Mahabubnagar district, Telangana from 2013 imagery study conducted 2017. For scenarios study, rainfall, temperature, of district derived. The value 0.63 0.046. Based on model using available CMIP5 (Coupled Model Intercomparison Project-5) mapped district. Using map, map prepared ArcGIS 10.0 software. spatial distribution that values varied 0.52-0.86. On average 2020s, 2050s 2080s were 0.53, 0.76, 0.77 respectively. predicted then brought under GIS environment prediction maps generated.