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Multi-temporal land use classification and change detection using remotely sensed imagery: The case of Hirpora Wildlife Sanctuary, Western Himalayas
One of the most prominent factors contributing to global landscape cover change is land use and land cover (LULC). Such changes are the outcome of several interrelated factors. This study assessed trends in land use and land cover within Hirpora from 1992 to 2006 and 2021 utilizing remote sensing da...
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| Published in: | Journal of Earth System Science 2024-07, Vol.133 (3), p.142, Article 142 |
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| container_title | Journal of Earth System Science |
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| creator | Bhat, Tariq Ahmad Bhat, Aadil Hussain Tanveer, Syed Ahmad, Khursheed |
| description | One of the most prominent factors contributing to global landscape cover change is land use and land cover (LULC). Such changes are the outcome of several interrelated factors. This study assessed trends in land use and land cover within Hirpora from 1992 to 2006 and 2021 utilizing remote sensing data and satellite pictures from Landsat 5-TM in 1992, Landsat 7-enhanced TM in 2006, and Landsat 8-OLI in 2021. The images were analyzed using ArcGIS v10.1 and ERDAS Imagine v14. From 1992 to 2021, there was a substantial shift in land use trends in a few targeted classes, with snow cover losing the most (33.76%), followed by dense forests (6.80%), and economically grasslands (21.46%), barren/rocky (11.43%), and scrub (5.41%) gaining the most. During the observation period, moderately dense forests and build-up increased in area by 4.50 and 0.35%, respectively. Due to large-scale human intrusion and habitat fragmentation, the Hirpora Wildlife Sanctuary has swiftly transitioned from a natural to a cultural landscape. As part of the LULC change process, natural, demographic, and economic factors have impacted land and had environmental implications. |
| doi_str_mv | 10.1007/s12040-024-02362-8 |
| format | article |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c200t-5735ede8dc664af798fad9a4aff883decbf1b3fcd539147be2d8c8d8451bce213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids></links><search><creatorcontrib>Bhat, Tariq Ahmad</creatorcontrib><creatorcontrib>Bhat, Aadil Hussain</creatorcontrib><creatorcontrib>Tanveer, Syed</creatorcontrib><creatorcontrib>Ahmad, Khursheed</creatorcontrib><title>Multi-temporal land use classification and change detection using remotely sensed imagery: The case of Hirpora Wildlife Sanctuary, Western Himalayas</title><title>Journal of Earth System Science</title><addtitle>J Earth Syst Sci</addtitle><description>One of the most prominent factors contributing to global landscape cover change is land use and land cover (LULC). Such changes are the outcome of several interrelated factors. This study assessed trends in land use and land cover within Hirpora from 1992 to 2006 and 2021 utilizing remote sensing data and satellite pictures from Landsat 5-TM in 1992, Landsat 7-enhanced TM in 2006, and Landsat 8-OLI in 2021. The images were analyzed using ArcGIS v10.1 and ERDAS Imagine v14. From 1992 to 2021, there was a substantial shift in land use trends in a few targeted classes, with snow cover losing the most (33.76%), followed by dense forests (6.80%), and economically grasslands (21.46%), barren/rocky (11.43%), and scrub (5.41%) gaining the most. During the observation period, moderately dense forests and build-up increased in area by 4.50 and 0.35%, respectively. Due to large-scale human intrusion and habitat fragmentation, the Hirpora Wildlife Sanctuary has swiftly transitioned from a natural to a cultural landscape. 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Such changes are the outcome of several interrelated factors. This study assessed trends in land use and land cover within Hirpora from 1992 to 2006 and 2021 utilizing remote sensing data and satellite pictures from Landsat 5-TM in 1992, Landsat 7-enhanced TM in 2006, and Landsat 8-OLI in 2021. The images were analyzed using ArcGIS v10.1 and ERDAS Imagine v14. From 1992 to 2021, there was a substantial shift in land use trends in a few targeted classes, with snow cover losing the most (33.76%), followed by dense forests (6.80%), and economically grasslands (21.46%), barren/rocky (11.43%), and scrub (5.41%) gaining the most. During the observation period, moderately dense forests and build-up increased in area by 4.50 and 0.35%, respectively. Due to large-scale human intrusion and habitat fragmentation, the Hirpora Wildlife Sanctuary has swiftly transitioned from a natural to a cultural landscape. 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| ispartof | Journal of Earth System Science, 2024-07, Vol.133 (3), p.142, Article 142 |
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| language | eng |
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| subjects | Barren lands Change detection Classification Classification schemes Earth and Environmental Science Earth Sciences Economic factors Environmental impact Forests Geographic information systems Grasslands Habitat fragmentation Horticulture Human influences Image enhancement Land cover Land use Land use classification Landsat Landsat satellites Landscape Natural resource management Natural resources Remote sensing Sanctuaries Satellite imagery Satellites Snow cover Socioeconomic factors Software Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Trends Vegetation Wildlife Wildlife refuges Wildlife sanctuaries |
| title | Multi-temporal land use classification and change detection using remotely sensed imagery: The case of Hirpora Wildlife Sanctuary, Western Himalayas |
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