Generalized semi-empirical modelling of wheat radar response

Two semi-empirical models, simulating the backscattering coefficient from different crops, were tested on the same wheat canopy. The physics of the semi-empirical models and the limitations of these models when scattering effects are discussed. The results show that both models can be included in a...

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Bibliographic Details
Published inInternational journal of remote sensing Vol. 21; no. 9; pp. 1945 - 1951
Main Authors Champion, I., Prevot, L., Guyot, G.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis Group 01.01.2000
Taylor and Francis
Taylor & Francis
Subjects
Agronomy. Soil science and plant productions
Biological and medical sciences
Environmental Sciences
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
Remote sensing
Structure effect
Monocotyledones
Backscattering
Model study
Generalized
Modeling
Cereal crop
Field experiment
Gramineae
Physical model
Agronomy
Formulation
Angiospermae
Radar
Semiempirical method
Mathematical model
Vegetation structure
Coefficient
Experimental data
Ground based measurement
Space remote sensing
Biophysics
Configuration interaction
Applied mathematics
Radar observation
Spermatophyta
Triticum aestivum
Canopy(vegetation)
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Summary:Two semi-empirical models, simulating the backscattering coefficient from different crops, were tested on the same wheat canopy. The physics of the semi-empirical models and the limitations of these models when scattering effects are discussed. The results show that both models can be included in a generalized formulation adapted to a large range of measurement conditions. This conclusion confirms that the radar configuration (waveband, polarization, incidence angle) plays a role similar to that of the canopy structure in the control of the radar backscattering coefficient.
ISSN:0143-1161
1366-5901
DOI:10.1080/014311600209869