Remote Sensing | |
Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model | |
Juan Pablo Rivera1  Jochem Verrelst1  Ganna Leonenko2  | |
[1] Image Processing Laboratory (IPL), Parc Científic, Universitat de València, E-46980 Paterna, |
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关键词: biophysical parameters; LUT-based inversion; cost functions; radiative transfer models; PROSAIL; Sentinel-2; | |
DOI : 10.3390/rs5073280 | |
来源: mdpi | |
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【 摘 要 】
Lookup-table (LUT)-based radiative transfer model inversion is considered a physically-sound and robust method to retrieve biophysical parameters from Earth observation data but regularization strategies are needed to mitigate the drawback of ill-posedness. We systematically evaluated various regularization options to improve leaf chlorophyll content (LCC) and leaf area index (LAI) retrievals over agricultural lands, including the role of (1) cost functions (CFs); (2) added noise; and (3) multiple solutions in LUT-based inversion. Three families of CFs were compared:
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190034777ZK.pdf | 19659KB | ![]() |