Ecology, Environment and Conservation Paper

Vol 27, Issue 2, 2021; Page No.(819-826)

PREDICTION OF FUTURE LAND USE LAND COVER CHANGES IN VALSAD DISTRICT, GUJARAT USING REMOTE SENSING

Ayantika Das and Jigna Desai

Abstract

The main objective of the present article is to attempt to predict future land use land cover patterns based on current land use land cover. Remote sensed Landsat images of Valsad district were studied over 20 years (1998 - 2018) to predict the future in 2028. We used Arc GIS, ENVI, and IDRISI Selva software for our study. Preprocessing, classification, and post-classification processing of Landsat images in the years 1998, 2008, and 2018 were done in ENVI, administrative boundary shapefile, and post-classification corrections were done using Arc GIS, the prediction was done using Markov Chain Modeling of IDRISI Selva. The result showed that in the year from 1998 to 2018, there has been an increase in the built-up area, plantation, cultivated land, and dry deciduous forested area. A decrease in water and aquaculture, mudflat and saltpan, scrublands, barren land, Casuarina plantation, and mangrove areas. This study will act as a database for sustainable ecological management of the Valsad district in the future. This study will help in determining the ecological sustainability of the district in the future.