Sensitivity of space-borne SAR data to forest parameters over sloping terrain : theory and experiment

Castel Thierry, Beaudoin André, Stach N., Stussi N., Le Toan Thuy, Durand Patrick Y.. 2001. Sensitivity of space-borne SAR data to forest parameters over sloping terrain : theory and experiment. International Journal of Remote Sensing, 22 (12) : pp. 2351-2376.

Journal article ; Article de revue à facteur d'impact
Full text not available from this repository.

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Abstract : Recently, SAR data proved to be useful for the retrieval of forest biomass. However, the effects of terrain slope must be addressed towards the generalization of biomass retrieval for varied forest and environmental conditions. To this aim, we developed experimental and theoretical approaches allowing the study of multi-frequency/multi-polarization forest backscatter of a given forest type, as a function of forest parameters and SAR local incidence angle over the relief. The experimental results showed that the sensitivity of SAR data to biomass was similar to that obtained over a flat terrain, only if the backscatter data were calibrated for slope effects. Moreover, the backscatter must also be corrected for its angular decrease, which can be removed using a simple angular model developed under assumptions of theoretical equations. The highest correlation of corrected backscatter with forest parameters related to aboveground biomass (such as stand age and bole volume) was achieved at L-HV 55° (R2 = 0.8) with results similar to those for flat terrain. Modelling results validate the semiempirical model developed to remove the angular decrease of forest backscatter, which is due to variable optical depth with terrain slope. Results also indicated that the simple angular model may encounter problems for forested areas with low optical depth (têta <0.5) located over extreme topographic conditions (local incidence angle <10° or >80°). (Résumé d'auteur)

Mots-clés Agrovoc : Télédétection, Radar, Forêt, Biomasse, Terre en pente, Modèle mathématique

Mots-clés géographiques Agrovoc : France

Classification Agris : U30 - Research methods
K10 - Forestry production
U10 - Computer science, mathematics and statistics

Auteurs et affiliations

  • Castel Thierry, CIRAD-AMIS-AMAP (FRA)
  • Beaudoin André, LCT (FRA)
  • Stach N., LCT (FRA)
  • Stussi N., LCT (FRA)
  • Le Toan Thuy, CESBIO (FRA)
  • Durand Patrick Y., CIRAD-FORET-DIR (FRA)

Autres liens de la publication

Source : Cirad - Agritrop (

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-04-17 ]