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Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data
Zhang, GQ (Zhang, Guoqing)1; Zheng, GX (Zheng, Guoxiong)1; Gao, Y (Gao, Yang)1; Xiang, Y (Xiang, Yang)1; Lei, YB (Lei, Yanbin)1; Li, JL (Li, Junli)2; Zhang, GQ
Source PublicationPHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
2017
Volume83Issue:7Pages:509-519
DOI10.14358/PERS.83.7.509
AbstractThe unique climate and topography of the Tibetan Plateau produce an abundant distribution of lakes. These lakes are important indicators of climate change, and changes in lake area have critical implications for water resources and ecological conditions. Lake area change can be monitored using the huge sets of high-resolution remote sensing data available, but this demands an automatic water classification system. This study develops an algorithm for automatic water classification using Chinese GF-1 (or Gaofen-1) wide-field-of-view (WFV) satellite data. The original GF-1 WFV data were automatically preprocessed with radiometric correction and orthorectification. The single-band threshold and two global-local segmentation methods were employed to distinguish water from non-water features. Three methods of determining the optimal thresholds for normalized difference water index (NDWI) images were compared: Iterative Self Organizing Data Analysis Technique (ISODATA); global-local segmentation with thresholds specified by stepwise iteration; and the Otsu method. The water classification from two steps of globallocal segmentations showed better performance than the single-band threshold and ISODATA methods. The GF-1 WFVbased lake mapping across the entire Tibetan Plateau in 2015 using the global-local segmentations with thresholds from the Otsu method showed high quality and efficiency in automatic water classification. This method can be extended to other satellite datasets, and makes the high-resolution global monitoring and mapping of lakes possible.
Subject Area自然地理学
WOS IDWOS:000411210500007
Language英语
Indexed BySCI
KeywordRemotely-sensed Imagery Index Ndwi Landsat Imagery Lakes Delineation Improvement Features Ali Tm
WOS Research AreaPhysical Geography; Geology; Remote Sensing; Imaging Science & Photographic Technology
WOS SubjectGeography, Physical; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology ; Physical Geography; Geology; Remote Sensing; Imaging Science & Photographic Technology
Cooperation Status国内
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Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8038
Collection图书馆
Corresponding AuthorZhang, GQ
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Bldg 3,Courtyard 16,Lincui Rd, Beijing 100101, Peoples R China.
2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China.
Recommended Citation
GB/T 7714
Zhang, GQ ,Zheng, GX ,Gao, Y ,et al. Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data[J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,2017,83(7):509-519.
APA Zhang, GQ .,Zheng, GX .,Gao, Y .,Xiang, Y .,Lei, YB .,...&Zhang, GQ.(2017).Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data.PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,83(7),509-519.
MLA Zhang, GQ ,et al."Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 83.7(2017):509-519.
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