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

Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

Publication: 1998- : Dordrecht : Springer
Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981-

Geographic Information Systems* ; Remote Sensing Technology*; Environmental Monitoring/*methods; Pakistan ; Plants ; Seasons ; Temperature ; Urbanization

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.

J Environ Manage. 2015 Jan 15;148:91-100. (PMID: 24680540)
Environ Monit Assess. 2011 Jun;177(1-4):575-92. (PMID: 20835922)
Environ Monit Assess. 2018 May 23;190(6):356. (PMID: 29796940)
Environ Monit Assess. 2012 Aug;184(8):4787-98. (PMID: 21912871)
PLoS One. 2013 Aug 30;8(8):e72348. (PMID: 24023616)
Int J Remote Sens. 2013;34(16):5953-5978. (PMID: 24127130)
PLoS One. 2016 Jan 20;11(1):e0147327. (PMID: 26789404)
Environ Sci Pollut Res Int. 2019 Aug 5;:null. (PMID: 31385244)
Environ Monit Assess. 2017 Oct 17;189(11):565. (PMID: 29039035)

Keywords: Climate change; Crops; Land surface temperature (LST); NDVI; Remote sensing

Date Created: 20191204 Date Completed: 20200117 Latest Revision: 20200119

20240829

10.1007/s10661-019-7959-1

31792634