Abstract

The upcoming satellite mission EnMAP offers the highly relevant opportunity of retrieving information on the seasonal development of vegetation parameters on a regional scale based on hyperspectral data. This study aims to investigate the potential of retrieving leaf area index (LAI) information from hyperspectral images. The widely used PROSAIL model is applied to generate look-up-table (LUT) libraries, by which the model is inverted to derive LAI information. 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 averages) is identified by validating the results against corresponding in-situ measurements (N = 330) of LAI, leading to robust results (R2 = 0.65, RMSE = 0.64).

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.