气候变化领域集成服务门户(CCPortal): Downscaling MODIS-derived water maps with high-precision topographic data in a shallow lake

CCPortal

DOI	10.1080/01431161.2018.1474529
	Downscaling MODIS-derived water maps with high-precision topographic data in a shallow lake
	Xiao, Fei; Cheng, Weiming; Zhu, Lingling; Feng, Qi; Du, Yun
发表日期	2018
ISSN	0143-1161
EISSN	1366-5901
卷号	39 期号:22
英文摘要	Remotely sensed imagery is the most efficient and widely used data source to monitor the water area changes. However, a trade-off always exists between temporal resolution and spatial resolution for satellite images. Taking the southern Dongting Lake as an example, this study was conducted to develop a method of down-scaling the Moderate Resolution Imaging Spectroradiometer (MODIS)-derived coarse spatial resolution water maps in shallow lakes with high-precision digital elevation model. The main principle of the method is to identify and adjust the horizontal location errors of the waterlines extracted from coarse-resolution data by analysing and modifying the elevation leaps using finer-scale topography information. Moving average filter was used to smooth the errors of waterlines caused by the geometric inaccuracies and classification uncertainties of the coarse data. The optimal local window size of the moving average filter was selected automatically using an exponential decay function model and a curvature algorithm for each pixel in the waterlines. In reference to Landsat Thematic Mapper data, the accuracy of the downscaling result is distinctly higher than that of the original MODIS normalized difference water index-derived water maps. The presented method is proved to be an effective tool for acquiring water maps of shallow lake with high spatio-temporal resolution using coarseor moderate-resolution satellite imagery and high-precision topographic data.
学科领域	Remote Sensing; Imaging Science & Photographic Technology
语种	英语
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/112010
作者单位	Chinese Acad Sci, Inst Geodesy & Geophys, Key Lab Environm & Disaster Monitoring & Evaluat, Wuhan 430077, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Fei,Cheng, Weiming,Zhu, Lingling,et al. Downscaling MODIS-derived water maps with high-precision topographic data in a shallow lake[J]. 中国科学院西北生态环境资源研究院,2018,39(22).
APA	Xiao, Fei,Cheng, Weiming,Zhu, Lingling,Feng, Qi,&Du, Yun.(2018).Downscaling MODIS-derived water maps with high-precision topographic data in a shallow lake.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(22).
MLA	Xiao, Fei,et al."Downscaling MODIS-derived water maps with high-precision topographic data in a shallow lake".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.22(2018).