Title :
Radar and optical modelling of forest remote sensing
Author :
Albinet, C. ; Borderies, P.
Author_Institution :
Dept. Electromagn. et Radar, Office Nat. d´´Etudes et de Rech. Aerospatiales (ONERA), Toulouse, France
Abstract :
This paper describes a parallel model which goal is to carry out sensibility studies on simulated radar and optical remote sensing forest data. It presents how the model has been set up, with a forest growth model as an input of an optical hyperspectral model and a Synthetic Aperture Radar (SAR) model. The first results obtained by both models outputs are presented and a fusion of these output has been made and shows a complementarity of radar and optical data for biomass and moisture content inversions of forests.
Keywords :
atmospheric optics; forestry; geophysical signal processing; inverse problems; optical radar; remote sensing by radar; synthetic aperture radar; SAR model; biomass content inversions; forest growth model; forest remote sensing optical modelling; forest remote sensing radar modelling; moisture content inversions; optical hyperspectral model; parallel model; simulated optical remote sensing forest data; simulated radar remote sensing forest data; synthetic aperture radar model; Biological system modeling; Biomass; Biomedical optical imaging; Laser radar; Moisture; Optical sensors; Remote sensing; biomass; forest electromagnetic scattering; forest height estimation; hyperspectral simulation; moisture content estimation; radar polarimetry; radar simulation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352006
