Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL ModelReportar como inadecuado




Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Department of Geography, Ludwig-Maximilians-Universität München, Luisenstraße 37, D-80333 Munich, Germany





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Academic Editors: Saskia Foerster, Véronique Carrere, Michael Rast, Karl Staenz and Prasad S. Thenkabail

Abstract The upcoming satellite mission EnMAP offers the opportunity to retrieve information on the seasonal development of vegetation parameters on a regional scale based on hyperspectral data. This study aims to investigate whether an analysis method for the retrieval of leaf area index LAI, developed and validated on the 4 m resolution scale of six airborne datasets covering the 2012 growing period, is transferable to the spaceborne 30 m resolution scale of the future EnMAP mission. The widely used PROSAIL model is applied to generate look-up-table LUT libraries, by which the model is inverted to derive LAI information. With the goal of defining the impact of different selection criteria in the inversion process, different techniques for the LUT based inversion are tested, such as several cost functions, type and amount of artificial noise, number of considered solutions and type of averaging method. The optimal inversion procedure Laplace, median, 4% inverse multiplicative noise, 350 out of 100,000 averages is identified by validating the results against corresponding in-situ measurements n = 330 of LAI. Finally, the best performing LUT inversion R2 = 0.65, RMSE = 0.64 is adapted to simulated EnMAP data, generated from the airborne acquisitions. The comparison of the retrieval results to upscaled maps of LAI, previously validated on the 4 m scale, shows that the optimized retrieval method can successfully be transferred to spaceborne EnMAP data. View Full-Text

Keywords: hyperspectral; EnMAP; vegetation; agriculture; LAI; LUT; radiative transfer model; PROSAIL; model inversion; simulated data hyperspectral; EnMAP; vegetation; agriculture; LAI; LUT; radiative transfer model; PROSAIL; model inversion; simulated data





Autor: Matthias Locherer * , Tobias Hank, Martin Danner and Wolfram Mauser

Fuente: http://mdpi.com/



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