Downscaling MODIS-derived water maps with high-precision topographic data in a shallow lake
文献类型：期刊论文
| 作者 | Xiao, Fei1; Cheng, Weiming2 ; Zhu, Lingling3; Feng, Qi1; Du, Yun1
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| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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| 出版日期 | 2018 |
| 卷号 | 39期号:22页码:7846-7860 |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2018.1474529 |
| 通讯作者 | Xiao, Fei(xiaof@whigg.ac.cn) |
| 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. |
| WOS关键词 | RESOLUTION DATA ; INDEX NDWI ; INUNDATION ; IMAGERY ; DISCHARGE ; AREAS ; MODEL ; SCALE ; BASIN ; NDVI |
| 资助项目 | National Natural Science Foundation of China[41271125] ; Science and Technology Support Program of Hubei Province[2015BCA288] ; Natural Science Foundation of Hubei Province[2016CFA087] |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000456452100028 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China ; Science and Technology Support Program of Hubei Province ; Natural Science Foundation of Hubei Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/50463]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xiao, Fei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geodesy & Geophys, Key Lab Environm & Disaster Monitoring & Evaluat, Wuhan 430077, Hubei, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Changjiang Water Resources Commiss, Bur Hydrol, Wuhan, 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]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(22):7846-7860. |
| 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),7846-7860. |
| 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):7846-7860. |
入库方式： OAI收割
来源：地理科学与资源研究所
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