Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India

Mapping and monitoring of land use land cover (LULC) changes in the Himalayas is vital for sustainable development, planning and management. Based on remote sensing (RS) and geographic information system (GIS) techniques, the study is an attempt to monitor the changes in LULC patterns of Rani Khola...

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Main Authors: Prabuddh Kumar Mishra, Aman Rai, Suresh Chand Rai
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982318302035
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spelling doaj-d8b1fd2b30584257994cc0778333fca82020-11-25T03:40:49ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232020-08-01232133143Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, IndiaPrabuddh Kumar Mishra0Aman Rai1Suresh Chand Rai2Department of Geography, Shivaji College, University of Delhi, India; Corresponding author at: Department of Geography, Shivaji College, Ring Road, Raja Garden, University of Delhi, Pin-110027, India.Department of Geography, Shivaji College, University of Delhi, IndiaDepartment of Geography, Delhi School of Economics, University of Delhi, IndiaMapping and monitoring of land use land cover (LULC) changes in the Himalayas is vital for sustainable development, planning and management. Based on remote sensing (RS) and geographic information system (GIS) techniques, the study is an attempt to monitor the changes in LULC patterns of Rani Khola watershed of Sikkim Himalaya for the periods 1988–1996, 1996–2008 and 2008–2017. Images from Landsat-5 Thematic Mapper (TM) and Sentinel 2A (Multispectral Instrument) MSI data were used to extract land cover maps. Supervised classification using Maximum Likelihood Classifier (MLC) was applied to prepare LULC maps of the watershed. The accuracy of the classified map was assessed using a High Resolution Planet scope image and ground realities have been verified and ascertained through field observations and site specific interviews. As a result of policy changes and traditional agroforestry systems, LULC in the study watershed has undergone a series of complicated changes over the past three decades. Six major LULC classes viz; agriculture, barren land, built-up area, dense forest, open forests and water bodies have been identified and indicate that major land use in the watershed is forestry. Results shows, dense forest, built-up area and water bodies have increased by 16.40% (41.76 km2), 2.13% (5.41 km2) and 0.11% (0.28 km2) while open forest, agriculture and barren land have decreased by −13.98% (−35.59 km2), 2.83% (−7.22 km2) and −1.82% (0.4.64 km2) respectively. The analysis and findings of the study highlights important policy implications for the sustainable LULC management in the Rani Khola watershed of the Sikkim Himalaya.http://www.sciencedirect.com/science/article/pii/S1110982318302035Change detectionLand use land coverRemote sensing and GISRani Khola watershed
collection DOAJ
language English
format Article
sources DOAJ
author Prabuddh Kumar Mishra
Aman Rai
Suresh Chand Rai
spellingShingle Prabuddh Kumar Mishra
Aman Rai
Suresh Chand Rai
Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
Egyptian Journal of Remote Sensing and Space Sciences
Change detection
Land use land cover
Remote sensing and GIS
Rani Khola watershed
author_facet Prabuddh Kumar Mishra
Aman Rai
Suresh Chand Rai
author_sort Prabuddh Kumar Mishra
title Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
title_short Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
title_full Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
title_fullStr Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
title_full_unstemmed Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India
title_sort land use and land cover change detection using geospatial techniques in the sikkim himalaya, india
publisher Elsevier
series Egyptian Journal of Remote Sensing and Space Sciences
issn 1110-9823
publishDate 2020-08-01
description Mapping and monitoring of land use land cover (LULC) changes in the Himalayas is vital for sustainable development, planning and management. Based on remote sensing (RS) and geographic information system (GIS) techniques, the study is an attempt to monitor the changes in LULC patterns of Rani Khola watershed of Sikkim Himalaya for the periods 1988–1996, 1996–2008 and 2008–2017. Images from Landsat-5 Thematic Mapper (TM) and Sentinel 2A (Multispectral Instrument) MSI data were used to extract land cover maps. Supervised classification using Maximum Likelihood Classifier (MLC) was applied to prepare LULC maps of the watershed. The accuracy of the classified map was assessed using a High Resolution Planet scope image and ground realities have been verified and ascertained through field observations and site specific interviews. As a result of policy changes and traditional agroforestry systems, LULC in the study watershed has undergone a series of complicated changes over the past three decades. Six major LULC classes viz; agriculture, barren land, built-up area, dense forest, open forests and water bodies have been identified and indicate that major land use in the watershed is forestry. Results shows, dense forest, built-up area and water bodies have increased by 16.40% (41.76 km2), 2.13% (5.41 km2) and 0.11% (0.28 km2) while open forest, agriculture and barren land have decreased by −13.98% (−35.59 km2), 2.83% (−7.22 km2) and −1.82% (0.4.64 km2) respectively. The analysis and findings of the study highlights important policy implications for the sustainable LULC management in the Rani Khola watershed of the Sikkim Himalaya.
topic Change detection
Land use land cover
Remote sensing and GIS
Rani Khola watershed
url http://www.sciencedirect.com/science/article/pii/S1110982318302035
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