Estimation of vegetation parameters from multispectral data using physical models and ground control measurements

Franz Kurz, Olaf Hellwich, Heinrich Ebner

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a general framework to estimate vegetation parameters from multispectral remote sensing data using physical radiative transfer models and a moderate amount of ground control data. This framework has been exemplarily demonstrated for different winter wheat fields imaged by a Daedalus ATM multispectral scanner in the last two years. The main focus lies on the variations of vegetation parameters within single fields, which are used to derive information about soil heterogeneities for precision farming. For the estimation of vegetation parameters we use physical radiative transfer models, e.g. SAIL and PROSPECT, combined with a linear empirical model. Results show the invertibility of the models for leaf area index, chlorophyll content, specific dry matter, and specific water content. A strategy for the use of ground control data is proposed to receive high accuracies of the estimated vegetation parameters with a minimum of necessary measurements.

Original languageEnglish
Pages (from-to)189-199
Number of pages11
JournalBildteknik
Issue number1
StatePublished - 2002

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