Title :
Microwave vegetation indices and the application for vegetation optical depth retrieval using WindSat data
Author :
Yunqing Li ; Jiancheng Shi
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Abstract :
The vegetation optical depth, which describes vegetation attenuation properties, is a key factor for estimating soil moisture and some vegetation parameters such as vegetation water content and biomass. Vegetation indices are effective tools for retrieving vegetation optical depth. In this study, we have used a new type of microwave vegetation indices(MVIs) based on WindSat data and deduced the theoretical relationship between MVIs and effective vegetation optical depth. The optical depth had a coherent global pattern with NDVI.
Keywords :
geophysical signal processing; moisture; soil; vegetation mapping; MVI; WindSat data; microwave vegetation index; soil moisture; vegetation attenuation; vegetation optical depth retrieval; vegetation water content; Biomedical optical imaging; Microwave theory and techniques; Optical polarization; Optical scattering; Optical sensors; Vegetation; Vegetation mapping;
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
DOI :
10.1109/URSIGASS.2014.6929694
