Mahmoodzada, Abdul Basir <br/><br/>
Trends analysis of river bank erosion at Amu river using remote sensing and geographic information system 

 - Pathum Thani, Thailand :  Asian Institute of Technology,  2015 
 - 1 online resource (61 leaves) :  ill.  
 - Thesis ;  no. RS-15-01 .
 - Asian Institute of Technology.  Thesis ;  no. RS-15-01 .
<br/><br/> A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information System 
<br/><br/>Thesis (M. Eng.) - Asian Institute of Technology, 2015 
<br/><br/> The  study  examined  the  trend  of  riverbank  erosion  from  2000-2014,  detected  shoreline change  and  predicted  the  river  migration  from  2014-2030  in  Qarqin  district.  The  study  is the  first  of  itskind  as  no  previous  study  has  been  done  before.In  this  research,landsat imagesandvery  high  resolution(IKONOS,  Quickbird  and  Pleiades)imageswere used.. The  imageclassification  was  donefrom  2000-2014.  Remote Sensingand Geographic Information systemapplicationswere used   to categorize eroded   area   and identifyshorelineschange  locations.Furthermore,liner  extrapolation  techniquewas employed  topredictriver movementfrom 2014 to 2030at five year intervals. The study found that the river  movement  was  toward  Afghanistan  side  i.e.,  south.  The  land lost from  2000-2014 was estimatedat5074 hectaresin total. It was calculated as 1984 hectaresfrom 2005-2010 a  major  increase  noticed  from  other  periods  which  were  1410hectaresfrom  2000-2015 and  1680 hectaresfrom  2010-2014.  The  shoreline  was  demarcated  and  categorized  into three zones i.e., lower as moderate eroded zone, central as high eroded zone and upper as lower eroded zone. The predicted land lose from 2014-2030was calculated 6160 hectaresdue  to  river  migration  toward  Afghanistan  side  primarily  because  of  lack  of  proper management.The  study  will  be  useful  to  government  agencies  responsible  for  river  bank erosion management in taking decisions.Based on trend analysis and shoreline migration, the  study  has concluded  that eroded  area  byriver  andthosewerecalculated  from  the historical  data,  for  the  better  understand  shoreline  changesand  projectedfuture  river locations. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Erosion--Geographic information systems<br/>Erosion--Remote sensing<br/>Erosion--Amu River (Afghanistan)