02948nam a2200265 a 450000500170000000800410001703500150005810000280007324500770010126000670017830000220024549000270026750001690029450200590046352017100052265000400223265000400227270000390231270000470235170000420239871000780244071000390251881000590255785600660261620260819085713.0190403s2017    th uu m rtt   0|  a1eng d  a.b123039021 aFazli, Sayed Abdul Bari10aUrban Growth Modelling of Herat, Afghanistan Using Geospatial Technology  aPathum Thani, Thailand :bAsian Institute of Technology,c2017  a1 online resource1 aThesis ;vno. RS-17-13  aA thesis  report submitted in partial fulfillment of the requirements for the  degree of Masters of Engineering in Remote Sensing and Geographic Information Systems  aThesis (M. Eng.) - Asian Institute of Technology, 2017  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.  0aGeospatial datazAfghanistanzHerat 0aUrban geographyzAfghanistanzHerat1 aTripathi, Nitin Kuma,eChairperson1 aMiyazaki, Hiroyuki,eExamination Committee1 aSoni, Peeyush,eExamination Committee2 aAFG Western Basins Water Resources Management Project,eScholarship Donor2 aAIT Fellowship,eScholarship Donor2 aAsian Institute of Technology.tThesis ;vno. RS-17-13  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B03947