Abstract
For quickly and efficiently extracting large-scale wetland information to the FY3/MERSI sensor satellite data, and based on the FY3/MERSI data from 2011 to 2016, this paper analyzed the time series original spectra and its NDVI and NDWI index change characteristics of lake, reservoir, paddy field and marsh wetlands in three provinces of Northeastern China. The results showed that there are differences in the spectral curves, NDVI and NDWI indexes of different wetland types, especially the marsh wetlands, paddy fields and other landforms with a growth circle that have more significant differences in spectral curves and index curves than that of lakes, reservoirs and rivers. The data provides a preliminary method for the research and business application of China Fengyun series satellite MERSI sensor data.
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