DocumentCode
2464999
Title
Discrepancy of Extraction of Standing Water between Index Methods and TM5 Thresholding
Author
Ruan, Renzong ; Zhang, Li
Author_Institution
State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
Volume
3
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
331
Lastpage
334
Abstract
Standing water extent is important information for the management of water resources. In the past, this information was collected by using aerial photos and ground surveys. These traditional methods are time-and cost-consuming. At present, satellite imagery is used for this purpose more and more extensively. In this paper, the western part of Hongze Lake and its adjacent upland were taken as test area. Several methods such as Normalized Difference Water Index (NDWI), Normalized Difference Vegetation Index (NDVI) and single band density slicing were used for the extraction of standing water extent and the results were compared and analyzed. The experiment showed that different methods have different advantages. The results from NDWI and TM5 threshold are nearly similar and reliable. The results from NDVI method were associated with the plants distribution and open water extent can be described by this method. NDWI can suppress the mixed pixels of water and vegetation and wet vegetation. Moreover, the linear water bodies can be delineated continuously. The results from TM5 include more mixed pixels of water and other objects.
Keywords
geophysical image processing; lakes; photogrammetry; vegetation; water resources; China; Hongze Lake; Normalized Difference Vegetation Index; Normalized Difference Water Index; TM5 threshold; aerial photos; ground surveys; index methods; linear water bodies; open water extent; plant distribution; satellite imagery; single band density slicing; standing water extent; water resources; wet vegetation; Indexes; Lakes; Pixel; Remote sensing; Satellites; Vegetation mapping; Water resources; Hongze lake; NDWI; discrepancy; extraction; standing water;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.247
Filename
5709387
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