Extracting eco-hydrological information of inland wetland from L-band Synthetic Aperture Radar image in Honghe National Nature Reserve,Northeast China |
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Authors: | Yonghua Sun Huili Gong Xiaojuan Li Ruiliang Pu Shuang Li |
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Institution: | (1) Hokkaido Institute of Environmental Sciences, 12-chome, 19-jo, kita-ku, Sapporo 060-0819, Japan;(2) Hokkaido Institute of Technology, 7-15 Maeda, Teine-ku, Sapporo 006-8585, Japan |
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Abstract: | Taking a typical inland wetland of Honghe National Nature Reserve (HNNR), Northeast China, as the study area, this paper studied
the application of L-band Synthetic Aperture Radar (SAR) image in extracting eco-hydrological information of inland wetland.
Landsat-5 TM and ALOS PALSAR HH backscatter images were first fused by using the wavelet-IHS method. Based on the fused image
data, the classification method of support vector machines was used to map the wetland in the study area. The overall mapping
accuracy is 77.5%. Then, the wet and dry aboveground biomass estimation models, including statistical models and a Rice Cloudy
model, were established. Optimal parameters for the Rice Cloudy model were calculated in MATLAB by using the least squares
method. Based on the validation results, it was found that the Rice Cloudy model produced higher accuracy for both wet and
dry aboveground biomass estimation compared to the statistical models. Finally, subcanopy water boundary information was extracted
from the HH backscatter image by threshold method. Compared to the actual water borderline result, the extracted result from
L-band SAR image is reliable. In this paper, the HH-HV phase difference was proved to be valueless for extracting subcanopy
water boundary information. |
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