Title :
Assessment of boreal forest biomass using L-band radiometer SMOS data
Author :
Zhang, Ning ; Shi, Jiancheng ; Sun, Guoqing ; Guo, Zhifeng ; Chai, Linna
Author_Institution :
Inst. of Remote Sensing Appl., State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
This paper employs a method based on a parameterized first-order radiative transfer (RT) model at L-band to evaluate the aboveground biomass of forest area using Soil Moisture and Ocean Salinity (SMOS) data. A comprehensive database, including forest structure information based on L-system and the corresponding scattering properties, was established. Then the parameterized first-order RT retrieval model was used to acquire the forest parameters. The Look-Up Table method was used to find the proper biomass value. We retrieved the single scattering albedo and the optical thickness and then found the biomass value which approximated to the reference dataset.
Keywords :
albedo; atmospheric optics; forestry; geophysical techniques; radiative transfer; radiometers; remote sensing; renewable materials; L-band radiometer SMOS data; RT retrieval model; Soil Moisture and Ocean Salinity; biomass value; boreal forest biomass; forest scattering; forest structure information; look up table method; optical thickness; parameterized first order radiative transfer model; single scattering albedo; Biological system modeling; Biomass; Databases; Mathematical model; Microwave radiometry; Scattering; Vegetation; SMOS; aboveground biomass; parameterized model; passive microwave; the first-order radiative transfer theory;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049507