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Climate change-induced spatiotemporal variations of land use land cover by using multitemporal satellite imagery analysis

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dc.contributor.author Ahmad, Izhar
dc.contributor.author Waseem, Muhammad
dc.contributor.author Hussain, Sadaquat
dc.contributor.author et al.
dc.date.accessioned 2025-03-21T05:59:15Z
dc.date.available 2025-03-21T05:59:15Z
dc.date.issued 2024
dc.identifier.uri doi: 10.2166/wcc.2024.675
dc.identifier.uri https://repository.ju.edu.et//handle/123456789/9413
dc.description.abstract This study examines Islamabad’s landscape changes over four decades, attributing land degradation to shifts in land use and cover. Using Landsat imagery from 1980 to 2023, it analyzes urban growth in five categories. By employing the normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI), it notes built-up areas expanding to 61% by 2023, agricultural land contraction, and fluctuating forest cover. Water bodies and bare land decrease significantly. With high accuracy values, NDVI fluctuates from þ0.4523 in 1980 to þ0.1596 in 2010, rebounding to þ0.4422. Fluctuations in barren soil, vegetation, and built-up areas potentially contribute to temp erature and rainfall changes. The study explores LULC and land surface temperature correlation. Surveyed respondents (755) express concerns about environmental changes, anticipating reduced rainfall and increased drought. Valuable for sustainable development goals, the study informs policy formulation for effective urban planning and land use control. en_US
dc.language.iso en en_US
dc.publisher Journal of Water and Climate Change en_US
dc.subject climate change implications en_US
dc.subject land use land cover change en_US
dc.subject Landsat imagery en_US
dc.subject remote sensing en_US
dc.subject sustainable development goals en_US
dc.title Climate change-induced spatiotemporal variations of land use land cover by using multitemporal satellite imagery analysis en_US
dc.type Article en_US


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