Study of land cover/land use changes using RS and GIS: a case study of Multan district, Pakistan

被引:0
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作者
Sajjad Hussain
Muhammad Mubeen
Waseem Akram
Ashfaq Ahmad
Muhammad Habib-ur-Rahman
Abdul Ghaffar
Asad Amin
Muhammad Awais
Hafiz Umar Farid
Amjad Farooq
Wajid Nasim
机构
[1] COMSATS University Islamabad,Department of Environmental Sciences
[2] Vehari Campus,U.S.
[3] University of Agriculture,Pakistan Centre for Advanced Studies in Agriculture and Food Security
[4] MNS-University of Agriculture,Department of Agronomy
[5] University of Bonn,Institute of Crop Science and Resource Conservation (INRES), Crop Science Group
[6] The University of Queensland,Queensland Alliance for Agriculture and Food Innovation (QAAFI)
[7] The Islamia University of Bahawalpur,Department of Agronomy, University College of Agriculture and Environmental Science
[8] Bahauddin Zakariya University,Department of Agricultural Engineering
[9] The Islamia University of Bahawalpur (IUB),Department of Agronomy, University College of Agriculture and Environmental Sciences
来源
关键词
Remote sensing; NDVI; Climate change; Land surface temperature (LST); Crops;
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中图分类号
学科分类号
摘要
Water and land both are limited resources. Current management strategies are facing multiple challenges to meet food security of an increasing population in numerous South Asian countries, including Pakistan. The study of land cover/land use changes (LCLUC) and land surface temperature (LST) is important as both provide critical information for policymaking of natural resources. We spatially examined LCLU and LST changes in district Multan, Pakistan, and its impacts on vegetation cover and water during 1988 to 2017. The LCLUC indicate that rice and sugarcane had less volatility of change in comparison with both cotton and wheat. Producer’s accuracy (PA) is the map accuracy (the producer of map), but user’s accuracy (UA) is the accuracy from the point of view of a map user, not the map maker. Average overall producer’s and user’s accuracy for the region was 85.7% and 87.7% for Rabi (winter) and Kharif (summer) seasons, respectively. The results of this study showed that ‘built-up area’ increased with 7.2% of all the classes during 1988 to 2017 in the Multan district. Anthropogenic activities decreased the vegetation, leading to an increase in LST in study area. Changes on LCLU and LST during the last 30 years have shown that vegetation pattern has changed and temperature has increased in the Multan district.
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