Paper Info
Title
High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery
Abstract
Accurate information of urban surface water is important for assessing the role it plays in urban ecosystem services under the content of urbanization and climate change. However, high-resolution monitoring of urban water bodies using remote sensing remains a challenge because of the limitation of previous water indices and the dark building shadow effect. To address this problem, we proposed an automated urban water extraction method (UWEM) which combines a new water index, together with a building shadow detection method. Firstly, we trained the parameters of UWEM using ZY-3 imagery of Qingdao, China. Then we verified the algorithm using five other sub-scenes (Aksu, Fuzhou, Hanyang, Huangpo and Huainan) ZY-3 imagery. The performance was compared with that of the Normalized Difference Water Index (NDWI). Results indicated that UWEM performed significantly better at the sub-scenes with kappa coefficients improved by 7.87%, 32.35%, 12.64%, 29.72%, 14.29%, respectively, and total omission and commission error reduced by 61.53%, 65.74%, 83.51%, 82.44%, and 74.40%, respectively. Furthermore, UWEM has more stable performances than NDWI's in a range of thresholds near zero. It reduces the over- and under-estimation issues which often accompany previous water indices when mapping urban surface water under complex environmental conditions.
Year
DOI
Venue
2015
10.3390/rs70912336
REMOTE SENSING
Keywords
Field
DocType
ZY-3,Urban water bodies,Water index,Threshold stability,Shadow detection,Urban remote sensing,Support Vector Machine
Urbanization,Shadow,Surface water,Remote sensing,Water extraction,Geology,Urban ecosystem,Multi spectral,Normalized difference water index
Journal
Volume
Issue
Citations 
7
9
4
PageRank 
References 
Authors
0.60
5
6
Name
Order
Citations
PageRank
fangfang yao140.60
Chao Wang2895190.04
Di Dong315015.72
Jian-Cheng Luo49920.75
Zhanfeng Shen56812.60
kehan yang640.60