Title :
Estimation of pasture biomass and soil-moisture using dual-polarimetric X and L band SAR - accuracy assessment with field data
Author :
Dhar, T. ; Menges, Carl ; Douglas, John ; Schmidt, Michael ; Armston, John
Author_Institution :
Apogee Imaging Int., Lobethal, SA, Australia
Abstract :
This paper presents the results of a study conducted to relate X and L band polarimetric SAR backscatter to pasture soil moisture and biomass as part of an environmental monitoring program. Extensive field data was collected concurrently with satellite SAR data acquisition - including dry/wet above ground biomass, soil moisture, surface roughness profiles and EM-38 electromagnetic sensor data. This data is used for both electromagnetically modeling the surface to work out the theoretical backscatter as well as empirical fitting regression models to the recorded SAR data and validation of existing inversion models.
Keywords :
backscatter; environmental monitoring (geophysics); hydrological techniques; moisture; radar polarimetry; remote sensing by radar; soil; synthetic aperture radar; vegetation; EM-38 electromagnetic sensor data; L-band SAR; SAR accuracy assessment; X-band SAR; dry above ground biomass; dual polarimetric SAR; environmental monitoring program; pasture biomass estimation; pasture soil moisture estimation; polarimetric SAR backscatter; satellite SAR data acquisition; surface roughness profiles; wet above ground biomass; Empirical model; PALSAR; Pastures; TerraSAR-X;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5650570
