Title :
Forest height mapping using space-borne polarimetric SAR interferometry
Author :
Isola, Marco ; Cloude, Shane R.
Author_Institution :
Appl. Electromagn., Saint Andrews, UK
Abstract :
In this paper we generate a statistical significance test for a 2-level coherent mixture model of interferometric radar scattering from forested terrain. We test the model against SIR-C L-band data and show that the assumption of a random volume scattering model for vegetation is fully justified for L-band remote sensing of forested areas. This has important implications for the design of future spaceborne radar sensors aimed at forest mapping applications
Keywords :
forestry; geophysical techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; 2-level coherent mixture model; InSAR; L-band; SAR interferometry; SIR-C; UHF; canopy height; forest; geophysical measurement technique; radar polarimetry; radar remote sensing; radar scattering; spaceborne radar; statistical significance test; vegetation mapping; Electromagnetic scattering; Integral equations; Interferometry; Polarization; Radar scattering; Remote sensing; Spaceborne radar; Surface topography; Testing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976757
