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  1. University of Computer Studies, Yangon
  2. Conferences

Monitoring and Extracting of Surface Water Area from Landsat Imagery Using Water Indices

http://hdl.handle.net/20.500.12678/0000003439
http://hdl.handle.net/20.500.12678/0000003439
c953fd85-b655-4cab-b7c7-92a3f74834ad
57a08945-865c-4479-bc37-04d6b1fd3af2
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ICCA ICCA 2019 Proceedings Book-pages-123-129.pdf (643 Kb)
Publication type
Article
Upload type
Publication
Title
Title Monitoring and Extracting of Surface Water Area from Landsat Imagery Using Water Indices
Language en
Publication date 2019-02-27
Authors
Myint, Aye Aye
Min, Myat Myat
Description
Taung-Tha-Man Lake (TTM) is the majorfresh water body providing Amarapura with thiswater used for various purposes. One of the mainchallenges faced by the sustainable development ofTTM is the need for better water management. Thepurpose of this study is to extract water area anddetect changes in TTM Lake from Landsat imagery.NDWI, Modified NDWI, WRI and AWEI are used forextraction of surface water. The accuracies of thewater indices are tested using the error matrix.Among them, MNDWI is the highest accuracy inextract water body compared to other indices. Theresults illustrate that average accuracy of the waterindices method is 90%. Experimental results indicatevery small change (0.4032 km2 in 2000-2010 and -0.2484 km2 between 2010 and 2017) in TTM Lake.This study can be used as guidance to protect thelake and manage water resources.
Keywords
NDWI, Change Detection, MNDWI, WRI, AWEI, Surface Water Extraction
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1189
Journal articles
Seventeenth International Conference on Computer Applications(ICCA 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
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