Comparative Analysis of Potential Soil Degradation in the state of Sergipe

Performing field studies to assess soil degradation is expensive and time-consuming. Estimates made by numerical models are, therefore, usually preferred many researchers professionals that work on this subject. The present study primarily aims the potential (PSD) in state of Sergipe, Brazil, years 2000 2019, employing fuzzy logic a Geographic Information System (GIS) environment. proposed model explores cause-effect relationships between specific variables are known affect PSD, based membership functions Fuzzy Gamma Operator (FGO) applied data relative geology, geomorphology, declivity, hypsometry, pedology, precipitation, erodibility, enhanced vegetation index (EVI) land use. Our results show that, among these factors, ones most contributed were pedology precipitation. However, proper attention should be paid susceptible changes human timescale, such as use cover and, consequently, EVI, which found important contributors observed increase PSD along studied timespan. Of those, especially, cover, it variable closely related activities. cartographic products resulting from also successful indicating regions exhibit least factors with respect influence processes contribute degradation, proving valuable tool for decision-making planning preventive mitigating measures.