Estimation of vegetation parameters by inversion of radiative-transfer models from multispectral imagery supported by ground control measurements

Franz Kurz; Olaf Hellwich

doi:10.1117/12.441396

25 September 2001 Estimation of vegetation parameters by inversion of radiative-transfer models from multispectral imagery supported by ground control measurements

Franz Kurz, Olaf Hellwich

Author Affiliations +

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441396
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

We propose a general framework to estimate vegetation parameters from multidimensional remote sensing data using physical models and a moderate amount of ground control data. This framework is exemplarily demonstrated for winter wheat fields imaged by the Daedalus multispectral scanner using physical radiative transfer models, like the SAIL and PROSPECT model, combined with a linear empirical model. Results show the invertibility of the model for leaf area index, chlorophyll content, dry matter, and water content. The attained accuracies of these parameters are compared to the amount of ground control data. The vegetation parameters estimated with help of the devised method are intended to be used to derive information about soil heterogeneities that are important for precision farming.

Citation Download Citation

Franz Kurz and Olaf Hellwich "Estimation of vegetation parameters by inversion of radiative-transfer models from multispectral imagery supported by ground control measurements", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441396

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