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
Link To Document :
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