Retrieval of forest biophysical parameters from remote sensing images with the DART model

Author

Pinel, V. ; Gastellu-Etchegorry, J.P. ; Demarez, V.

Author_Institution

Center d´Etude Spatiale de la Biosphere, CNRS, Toulouse

Volume

3

fYear

1996

fDate

27-31 May 1996

Firstpage

1660

Abstract

This paper presents a quantitative analysis of the sensitivity of textural information of high resolution remote sensing images of a forest plantation (Les Landes, France) with a number of biophysical characteristics: tree cover, crown diameter, distance between rows and leaf area index (LAI). The influence of spatial resolution and viewing and illumination configurations are also assessed. The work is conducted with directional images simulated with the DART (Discrete Anisotropic Radiative Transfer) model, whereas textural information is quantified by means of variograms. Finally, actual 1.67 m resolution spectral images provide a partial validation of the approach and results

Keywords

forestry; geophysical techniques; remote sensing; DART model; Discrete Anisotropic Radiative Transfer; France; LAI; Les Landes; biophysical parameters; canopy structure; crown diameter; forest; geophysical measurement technique; high resolution image; illumination configuration; image texture; leaf area index; optical imaging; quantitative analysis; remote sensing; spatial resolution; textural information; tree cover; vegetation mapping; visible image; Argon; Atmospheric modeling; Image analysis; Image resolution; Image retrieval; Image texture analysis; Layout; Pixel; Remote sensing; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516762

Filename

516762