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Remote Sensing Technology and Application  2009, Vol. 24 Issue (3): 325-330    DOI: 10.11873/j.issn.1004-0323.2009.3.325
Neural Network-based Biomass Estimation in the Poyang Lake Wetland Using Envisat ASAR Data
DONG Lei1,3,LIAO Jing-juan2,SHEN Guo-zhuang2
(1.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy ofSciences,Beijing 100101,China;2.Center for Earth Observation and Digital Earth,Chinese Academy ofSciences,Beijing 100101,China;3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
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Traditional way to monitor biomass changes is to use linear or nonlinear model from TM/ETM data.In this paper we discuss the neural network algorithms(NNA) to retrieve wetland biomass from multi-polarization(HH and VV) backscattering values using ENVISAT ASAR data.Two field measurements were carried out concomitant to the acquisition of ASAR images in this area through the hydrological cycle.Training data of the network are generated by MIMICS model which is often used in the forest.We modify the model to make it available on the wetland system.NNA retrieval results are validated with experimental data.The inversion results show that the NNA is capable of performing the retrieval with good accuracy.Finally,the trained neural network is used to estimate the overall biomass of the Poyang Lake and make the map of biomass distribution in April,July and November.

Key words:  Biomass      Multi-polarization      SAR      Neural network      MIMICS     
Received:  10 June 2011      Published:  20 January 2010
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LIAO Jing-juan
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DONG Lei,LIAO Jing-juan,SHEN Guo-zhuang. Neural Network-based Biomass Estimation in the Poyang Lake Wetland Using Envisat ASAR Data. Remote Sensing Technology and Application, 2009, 24(3): 325-330.

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