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Journal of Applied Remote Sensing • Open Access

Poyang Lake wetland vegetation biomass inversion using polarimetric RADARSAT-2 synthetic aperture radar data
Author(s): Guozhuang Shen; Jingjuan Liao; Huadong Guo; Ju Liu

Paper Abstract

Poyang Lake is the largest freshwater lake in China and one of the most important wetlands in the world. Vegetation, an important component of wetland ecosystems, is one of the main sources of the carbon in the atmosphere. Biomass can quantify the contribution of wetland vegetation to carbon sinks and carbon sources. Synthetic aperture radar (SAR), which can operate in all day and weather conditions and penetrate vegetation to some extent, can be used to retrieve information about vegetation structure and the aboveground biomass. In this study, RADARSAT-2 polarimetric SAR data were used to retrieve aboveground vegetation biomass in the Poyang Lake wetland. Based on the canopy backscatter model, the vegetation backscatter characteristics in the C-band were studied, and a good relation between simulated backscatter and backscatter in the RADARSAT-2 imagery was achieved. Using the backscatter model, pairs of training data were built and used to train the back propagation artificial neural network. The biomass was retrieved using this ANN and compared with the field survey results. The root-mean-square error in the biomass estimation was 45.57  g/m2. This shows that the combination of the model and polarimetric decomposition components can efficiently improve the inversion precision.

Paper Details

Date Published: 4 March 2015
PDF: 16 pages
J. Appl. Rem. Sens. 9(1) 096077 doi: 10.1117/1.JRS.9.096077
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Guozhuang Shen, Institute of Remote Sensing and Digital Earth (China)
Jingjuan Liao, Institute of Remote Sensing and Digital Earth (China)
Huadong Guo, Institute of Remote Sensing and Digital Earth (China)
Ju Liu, Construction Information Ctr. of Hebei Province (China)

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