Title :
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
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;
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
DOI :
10.1109/IGARSS.1996.516762
