<?xml version="1.0" encoding="utf-8"?><article><front><Journal-meta><journal-id journal-id-type='publisher'>CWE/2186/2022</journal-id><journal-title >Current World Environment</journal-title><issn pub-type='PPub'>0973-4929</issn><issn pub-type='ePub'>2320-8031</issn><publisher><publisher-name></publisher-name></publisher></Journal-meta><article-meta><article-id pub-id-type='other'>CWE--85-00</article-id><title-group><article-title>&lt;p&gt;Land Use/Cover Mapping and Change Detection Using Remote Sensing Techniques: A Case of Upper Kullu Valley, Himachal Pradesh.&lt;/p&gt;</article-title></title-group><contrib-group><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib></contrib-group><aff id='aff001'><sup>1</sup><instname></instname>,<deptname>Department of Geography</deptname>, <instaddress>Panjab University</instaddress>, <instcity>Chandigarh</instcity>, <instcountry>India</instcountry>.</aff><pub-date pub-type='ppub'><publicationDate></publicationDate></pub-date><doi>10.12944/CWE.17.2.13</doi><volume>Volume 17</volume><issue>Volume 17</issue><page>417-426</page><abstract><title>Abstract</title><p>The land use/cover change has remained an important indicator in explaining the regional and global environmental issues and their determinants. The present study is an attempt to analyze the land use/cover change as a way of measuring visual impressions of landscape transformation in the Upper Kullu Valley of Himachal Pradesh. In the recent decades, the area has experienced considerable land use/cover changes due to urbanization, commercial agriculture and tourism activities. These developmental activities have hugely impacted the natural resources, bio-capacity and land availability of the area. The land use/cover has been analyzed with the help of LANDSAT imageries from 1991 to 2020. Supervised classification has been done on selected images by using maximum likelihood classifier (MLC). The study has been done on eight LULC classes namely, agricultural/horticultural land, built-up land, forest cover, pasture/open land, barren land, snow cover, river/water-bodies and sandy surface. The result shows decrease in snow cover and forest cover and increase in barren land, agricultural/horticultural land and built-up area during 1991-2020. The limited land resources and growing urbanisation are making these changes more complex. Therefore, continuous monitoring of these processes and subsequent changes are necessary for future planning and resource management. </p></abstract><kwd-group><title>Keywords</title><kwd>Change Detection</kwd><kwd> Indian Himalayas</kwd><kwd> LULC classification</kwd><kwd> Remote sensing</kwd></kwd-group><counts><ref-count count='' /><page-count count='' /></counts></article-meta></front></article>