The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-5
https://doi.org/10.5194/isprs-archives-XLII-5-395-2018
https://doi.org/10.5194/isprs-archives-XLII-5-395-2018
19 Nov 2018
 | 19 Nov 2018

FUZZY INTEGRATED DESERTIFICATION VULNERABILITY MODEL

V. A. Dave and K. Sur

Keywords: Desertification, Land Degradation, Fuzzy Logic, Vulnerability

Abstract. Desertification and Land Degradation have constantly affected the global environment over the years. Land degradation is a reduction or loss of productivity over land due to natural processes, climate change and human activities. It involves complex set of processes, which interacts over space to decrease in land productivity. In the present study, regional desertification vulnerability assessment was carried out for Bhavnagar district of Gujarat, India. A vulnerability is a basic concept which explains the flaw in any structure of a system. A vulnerability may also refer to any type of shortcoming in systems, sub system parameters or processes, or in anything that leads the system to be exposed to a threat. Fuzzy Logic (FL) method combined with remote sensing (RS) and geographic information system (GIS) techniques has several advantages for assessing vulnerability. Technically FL combines the intricate classical analytic hierarchy process and grey clustering method for estimation of coefficients. Climate, soil, vegetation and land use play a significant role in desertification of any area, hence, in this work, several indices have been generated. However, man’s intervention leads to significant changes in the environment, making socio-economic factor as a major input to assess vulnerability for desertification. Thus in this study FL has been integrated with both natural and socioeconomic factors for understanding the vulnerability to desertification in Bhavnagar region.