Comparison and analysis of water indexes in muddy coasts based on MODIS data: A case study of the Yellow River Delta coast
Jiaping WU1, Yang ZHANG1(), Jie ZHANG2, Shenglong FAN1, Chao YANG1, Xiaofang ZHANG1
1. College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China 2. Poyang Lake Research Center, Jiangxi Academy of Sciences, Nanchang 330096, China
Muddy coastal areas have a unique and complex water environment. It is of great scientific significance to deeply analyze the water extraction efficiency of water index in this area. The authors took the Yellow River Delta coast as the study area and used the MODIS and Landsat remote sensing data of 2008, 2009 and 2015. The water extraction performance of 6 water index (NDWI, MNDWI, AWEInsh, AWEIsh, TCW, WI2015) were analyzed from spectral characteristics of land cover types. The best threshold of each water index was obtained through the ROC curve. The accuracy and extraction errors of water indexes in muddy coastal area were studied, and the influence of different land cover factors on water extraction was analyzed. The results show that the AWEInsh have the best performance in extraction of water, with an overall accuracy of 97.29%, mapping accuracy of 96.84%, and user accuracy of 97.69%. The accuracy of seawater extraction by different water indexes is higher than 90%. The extraction accuracy of land water is at general level and the map precision is less than 80%. The capability of NDWI for identifying tidal flat water is poor, and the accuracy of mapping is lower than that of other water indexes. The different water indexes have high omission error of land water, and the omission errors of seawater and tidal flat water are low. The MNDWI has the highest omission error of seawater. The influence of the tidal flat soil on the water extraction is the greatest, followed by the cultivated soil. The sparse vegetation, luxuriant vegetation, and built-up area have the least impact. This study provides a reference for the further development of water extraction methods suitable for muddy coastal areas.
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Jiaping WU, Yang ZHANG, Jie ZHANG, Shenglong FAN, Chao YANG, Xiaofang ZHANG. Comparison and analysis of water indexes in muddy coasts based on MODIS data: A case study of the Yellow River Delta coast. Remote Sensing for Land & Resources, 2019, 31(3): 242-249.
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2019, Vol. 31 
), 张杰2, 范胜龙1, 杨超1, 张小芳1
