Title :
Retrieve optical depth using microwave vegetation indices from WindSat data
Author :
Yunqing Li ; Jiancheng Shi ; Tianjie Zhao ; Tao Zhang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Abstract :
Obtaining reliable vegetation optical depth (τ, tau) is essential for vegetation parameter estimation and soil moisture retrieval. In this paper, a lookup table method was developed to retrieve optical depth using MVIs, which can derive the optical depth and single scattering albedo simultaneously without any auxiliary data. The lookup table method is based on the relationship of the single scattering albedo and optical depth at two adjacent frequencies, respectively. The relationships are explored by using a large simulation database generated using a physical model. Then, a lookup table will be established according to the relationships. Following this, we will validate this method and analyze the source of errors.
Keywords :
albedo; remote sensing; table lookup; vegetation mapping; Windsat data; lookup table method; microwave vegetation indices; simulation database; single scattering albedo; soil moisture retrieval; vegetation optical depth; vegetation parameter estimation; Adaptive optics; Optical attenuators; Optical polarization; Optical scattering; Optical sensors; Vegetation mapping; Microwave vegetation indices; Optical depth; Radiative transfer model; WindSat data;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946550