Title :
Investigating correlations between radar data and mangrove forests characteristics
Author :
Proisy, C. ; Mougin, E. ; Fromard, F.
Author_Institution :
Centre d´´Etudes Spatiales de la Biosphere, CNES, Toulouse, France
Abstract :
Presents a statistical analysis of multifrequency and multipolarisation SAR data acquired over mangrove forests of French Guyana. A large SAR data set, acquired by both spaceborne (ERS-1, JERS-1, SIR-C) and airborne (NASA/JPL AIRSAR) systems has been collected. Different test sites were selected in French Guyana, in order to picture the successional stages of mangrove dynamics, characterized by their specific floristic, structural and functioning parameters. Intensive field measurements were performed over these sites. Standing biomass values are then derived. This data set is used to assess the capability of SAR systems to retrieve structural parameters of mangrove forests. Statistical relationships between AIRSAR multipolarisation data and mangrove parameters are shown
Keywords :
backscatter; electromagnetic wave scattering; forestry; geophysical techniques; radar cross-sections; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1; French Guyana; JERS-1; SAR; SHF; SIR-C; UHF; backscatter; biomass; geophysical measurement technique; mangrove forest; microwave scattering; multifrequency; multipolarisation; polarisation; radar polarimetry; radar scattering; remote sensing; statistical analysis; successional stage; synthetic aperture radar; tropical forestry; vegetation mapping; Biomass; Biosphere; Information retrieval; Performance evaluation; Remote monitoring; Spaceborne radar; Statistical analysis; Structural engineering; Testing; Vegetation mapping;
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.1996.516458
