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Downscaling MODIS Surface Reflectance to Improve Water Body Extraction
Che X. H.; Feng, M.; Jiang, H.; Song, J.; Jia, B.
Source PublicationAdvances in Meteorology
2015
KeywordTibetan Plateau Satellite Data North-america Index Ndwi Composites Features Imagery
AbstractInland surface water is essential to terrestrial ecosystems and human civilization. Accurate mapping of surface water dynamic is vital for both scientific research and policy-driven applications. MODIS provides twice observation per day, making it perfect for monitoring temporal water dynamic. Although MODIS provides two bands at 250 m resolution, accurately deriving water area always depends on observations from the spectral bands with 500 m resolution, which limits its discrimination ability over small lakes and rivers. The paper presents an automated method for downscaling the 500 m MODIS surface reflectance (SR) to 250 m to improve the spatial discrimination of water body extraction. The method has been tested at Co Ngoin and Co Bangkog in Qinghai-Tibet plateau. The downscaled SR and the derived water bodies were compared to SR and water body mapped from Landsat-7 ETM+ images were acquired on the same date. Consistency metrics were calculated to measure their agreement and disagreement. The comparisons indicated that the downscaled MODIS SR showed significant improvement over the original 500 m observations when compared with Landsat-7 ETM+ SR, and both commission and omission errors were reduced in the derived 250 m water bodies.
Indexed BySCI
Language英语
ISSN1687-9309
DOI10.1155/2015/424291
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/38560
Collection历年回溯文献
Recommended Citation
GB/T 7714
Che X. H.,Feng, M.,Jiang, H.,et al. Downscaling MODIS Surface Reflectance to Improve Water Body Extraction. 2015.
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