LAND USE LAND COVER CHANGE ASSESSMENT IN FATEHABAD DISTRICT, HARYANA: A GIS AND REMOTE SENSING BASED CASE STUDY

KHUSH LATA, SUNDEEP KUMAR ANTIL*, RAVINDER PARWASI AND ANIL KUMAR
Department of Environmental Science & Engineering, GJUS&T, Hisar-125 001 (Haryana), India Haryana Space Applications Centre, Hisar, Haryana
KVK, Sonipat, Haryana, CCS HAU
Department of Farm Machinery and Power Engineering, COAE&T, CCS HAU Hisar-125 004 (Haryana), India *(e-mail: sundeepantil@gmail.com)
(Received: 8 September 2024; Accepted: 27 September 2024)

SUMMARY

The Land Use Land Cover (LULC) information has always played a significant role in planning, management, and monitoring of various programmes at local, regional, and national levels. Changes in LULC are the direct and indirect consequences of human and climatic actions happened in that region. An attempt has made to study the changes in LULC pattern of Fatehabad district in the Haryana, India for the period of year 2016 and year 2021 using the Remote Sensing and Geographic Information Systems (GIS). The Sentinel 2A, MSI data and supervised classification using maximum likelihood supervised classifier was used to prepare the land cover maps of the district. The five main LULC classes viz; water bodies, built-up, fallow, Agriculture and vegetation have undergone significant changes in last five years. The present study is focused on the land use and cover change detection with a total covering an area of 2,538 sq. km of the district. The increased in built- up area from year 2016 to year 2021 has indicated the expansion in urbanisation, increased population and industrial activities in the district. The decreased in water bodies area by 27.21%, vegetation by 44.22%, and increase in fallow land by 16.41% present an alarming situation from 2016 to year 2021. However, in further studies the inclusion of other co-variable which contributes in LULC changes in the analysis should certainly improve the results of the study.

Key words: Change detection, classification, land use land cover, remote sensing

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