Title :
Forest biomass estimation using polarimetric SAR interferometry
Author :
Mette, T. ; Papathanassiou, K.P. ; Hajnsek, I. ; Zimmermann, R.
Author_Institution :
DLR Inst. for Radio Frequency Technol. & Radar Syst., Wessling, Germany
Abstract :
Forest biomass is one of the most important and most unknown parameters for accurate global carbon stock modelling. In this paper we address an alternative methodology for estimating above ground forest biomass from radar remote sensing data, based on forest height estimates from single frequency polarimetric-interferometric SAR data.
Keywords :
forestry; geophysical techniques; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; InSAR; SAR; SAR interferometry; above ground biomass; biomass; canopy height; forest; forestry; geophysical measurement technique; polarimetric SAR; polarimetric-interferometric SAR; radar polarimetry; radar remote sensing; single frequency; synthetic aperture radar; vegetation mapping; Biomass; DH-HEMTs; Forestry; Frequency estimation; Parameter estimation; Polarization; Radar polarimetry; Radar remote sensing; Radio interferometry; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1025695
