GIS and RS based analysis of LULCC in Indian Himalayan

Abstract

Land use is the main essential resource of the total ecological system.. Analysing LULCC is important for a vast range of applications such as landslide, land planning etc. In this study, LULCC have been considered for a period of 20 years (2000-2021) using RS and GIS based analysis of Shimla, Himachal Pradesh, India. Supervised classification technique is used to analyse LANDSAT images from the year 2000 to 2021. The output is identified and changes in land use pattern was obtained for each successive imagery and final changes were obtain by comparing 2000 and 2021 usgs data. The result obtained indicate a major change in the growth. Thickly vegetated land reduced from 95.52% to 20.22% in the year 2021 whereas the Moderately Vegetated land reduced from 60.25% to 10.50%. In the year 2021, The Urban Land increased from 75.65% to 180.50% while the agricultural land is also increased from 70.63% to 190.25%. Barren Land also gets increased from 65.25% to 150.23%.

Assessment of decadal land use land cover change using random forest classifier in Google Earth engine for Himachal Pradesh, India

“…This Himalayan state is a priority for LULCC research because of its ecological fragility and rapid socio-economic changes due to increased urbanization, horticultural /agricultural and tourism activities. In the recent past, several studies on the classification of land use and land cover have been conducted in the state of Himachal Pradesh, including those by Azad & Singh [6] for the district of Shimla, Kumar & Mohan [7] for the Baddi town; and Vaidya et al [8] for the Kullu valley. Other comparable studies have also been conducted by Kanga [9] Sidhu [10], and Pareta & Pareta [11] for the Bilaspur, Kangra, and Chamba regions, respectively.…”