Algorithm for retrieving vegetative canopy and leaf parameters from multi- and hyperspectral imagery

Christoph Borel

doi:10.1117/12.817723

27 April 2009 Algorithm for retrieving vegetative canopy and leaf parameters from multi- and hyperspectral imagery

Christoph Borel

Proceedings Volume 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV; 73340X (2009) https://doi.org/10.1117/12.817723
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

In recent years hyper-spectral data has been used to retrieve information about vegetative canopies such as leaf area index and canopy water content. For the environmental scientist these two parameters are valuable, but there is potentially more information to be gained as high spatial resolution data becomes available. We developed an Amoeba (Nelder-Mead or Simplex) based program to invert a vegetative canopy radiosity model coupled with a leaf (PROSPECT5) reflectance model and modeled for the background reflectance (e.g. soil, water, leaf litter) to a measured reflectance spectrum. The PROSPECT5 leaf model has five parameters: leaf structure parameter Nstru, chlorophyll a+b concentration Cab, carotenoids content Car, equivalent water thickness Cw and dry matter content Cm. The canopy model has two parameters: total leaf area index (LAI) and number of layers. The background reflectance model is either a single reflectance spectrum from a spectral library() derived from a bare area pixel on an image or a linear mixture of soil spectra. We summarize the radiosity model of a layered canopy and give references to the leaf/needle models. The method is then tested on simulated and measured data. We investigate the uniqueness, limitations and accuracy of the retrieved parameters on canopy parameters (low, medium and high leaf area index) spectral resolution (32 to 211 band hyperspectral), sensor noise and initial conditions.

Citation Download Citation

Christoph Borel "Algorithm for retrieving vegetative canopy and leaf parameters from multi- and hyperspectral imagery", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73340X (27 April 2009); https://doi.org/10.1117/12.817723

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