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005 20260819085713.0
008 190403s2017 th uu m rtt 0| a1eng d
035 _a.b12303902
099 9 _aAIT Thesis no.RS-17-13
100 1 _aFazli, Sayed Abdul Bari
245 1 0 _aUrban Growth Modelling of Herat, Afghanistan Using Geospatial Technology
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2017
300 _a1 online resource
490 1 _aThesis ;
_vno. RS-17-13
500 _aA thesis report submitted in partial fulfillment of the requirements for the degree of Masters of Engineering in Remote Sensing and Geographic Information Systems
502 _aThesis (M. Eng.) - Asian Institute of Technology, 2017
520 _aTo avoid the problems derived for land use/cover change due to rapid increasing of population and urban growth, it needs to understand land use/cover patterns in the past. Also, land use/cover prediction is very essential for better urban development planning. Thus, land use/cover change Herat city of Afghanistan both in the past (2002, 2008, 2013 and 2016) and future (2030 and 2050) were analyzed. Supervised classification method was conducted for identifying four land use classes. Then Markov chain analysis with Terr Set software was used for predicting urban land use in 2030 and 2050. The results of classification was good acceptable according to Kappa coefficients statistic. The results revealed that urban vegetation cover area decreased 13.67% as count 24.5 km2while built-up area increase 24.67% during 14 years. City green had the majority of changed in this period that lost 66.8% to built-up area. The predicted land use show that urban vegetation will continuously decrease under two scenarios. To increase the urban vegetation especially city green area, decision makers should take more actions to increase urban vegetation areas for the reason of sustainable urban land use/cover. This can aggravate urban ecological problems in future. The strong conservation policies should establish in this case. Furthermore, the peoples{u2019} awareness of the importance of urban vegetation should be more concerned. Thus, this study may provide the useful information to better understand the past land use/cover change and to potentially improve the basis of future decision making.
650 0 _aGeospatial data
_zAfghanistan
_zHerat
650 0 _aUrban geography
_zAfghanistan
_zHerat
700 1 _aTripathi, Nitin Kuma,
_eChairperson
700 1 _aMiyazaki, Hiroyuki,
_eExamination Committee
700 1 _aSoni, Peeyush,
_eExamination Committee
710 2 _aAFG Western Basins Water Resources Management Project,
_eScholarship Donor
710 2 _aAIT Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. RS-17-13
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B03947
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