Abstract: In order to provide more suitable surface retrieval methods, the authors reconducted forward modeling and made algorithm improvement for multiple parameters retrieval of AMSRE-E data simulated by Njoku-developed Levernberg-Marquardt iteration algorithm, and realized project code in MATLAB. The result shows that the improved retrieval method not only has somewhat higher precision than the original method but also can make retrieval of measurable roughness parameters of the exposed surface. In addition, it can attain relatively high precision in a wider water content range of vegetation.
[1]Njoku E G,L Li.Retrieval of Land Surface Parameters Using Passive Microwave Measurements at 6~18 GHz[J].IEEE Transactions on Geoscience and Remote Sensing,1999,7(3):79-93.[2]Njoku E G.AMSR Land Surface Parameters [M/OL].USA:NASA Jet Propulsion Laboratory,1999.http://eospso.gsfc.nasa.gov/ftp_ATBD/REVIEW/AMSR/atbd-amsr-land.pdf.[3]Paloscia S,Macelloni G,Santi E,et al.A Multifrequency Algorithm for the Retrieval of Soil Moisture on a Large Scale Using Microwave Data from SMMR and SSM/I Satellites [J].IEEE Transactions on Geoscience and Remote Sensing,2001(39)8:1655-1661.[4]Aurelio Cano.The SMOS Mediterranean Ecosystem L-Band Characterisation Experiment (MELBEX-I) over Natural Shrubs[J].Remote Sensing of Environment,2010,(114)4:844-853.[5]Shi J C,Jiang L M,Zhang L X,et al.A Parameterized Multifrequency-Polarization Surface Emission Model [J].IEEE Transactions on Geoscience and Remote Sensing,2005,(43)12:2831-2641.[6]MATLAB Web Source[EB/OL].[2009-01-27].http://www.mathworks.cn/matlabcentral/.[7]Richard A M de Jeu.Retrieval of Land Surface Parameters Using Passing Microwave Remote Sensing[D].Thesis VRIJE University Amsterdam,2003.