DocumentCode :
3536971
Title :
A study on estimation of aboveground wet biomass based on the microwave vegetation indices
Author :
Chai, Linna ; Shi, J. ; Du, J. ; Tao, J. ; Jackson, T. ; Neill, P. E O ; Zhang, L. ; Qu, Y. ; Wang, J.
Author_Institution :
State Key Lab. of Remote Sensing Sci., CAS, Beijing, China
Volume :
3
fYear :
2009
fDate :
12-17 July 2009
Abstract :
Vegetation biomass is an important parameter in the carbon cycle study. In this paper, a new technique to estimate aboveground vegetation wet biomass based on the Microwave Vegetation Indices (MVIs), which are computed through the observed brightness temperature of AMSR-E/Aqua under two adjacent frequencies, has been developed. The MVIs can provide significant new information compared with the conventional optical vegetation indices since the microwave measurements are sensitive not only to the leafy part of vegetation properties but also to the properties of the overall vegetation canopy where the microwave sensor can ¿see¿ through. We know that the absorption effect of vegetation canopy is mostly controlled by the total wet biomass. In this technique, we first retrieve the single scattering albedo and the optical thickness based on model simulations under AMSR-E configuration. Then, the estimated above two properties are used to derive the absorption fraction of vegetation. Finally, it can be related to the aboveground vegetation wet biomass.
Keywords :
radiometry; vegetation mapping; Advanced Microwave Scanning Radiometer for EOS observation; Aqua satellite observation; aboveground wet biomass estimation; absorption effect; absorption fraction; brightness temperature; carbon cycle; microwave measurements; microwave sensor; microwave vegetation indices; optical thickness; optical vegetation indices; single scattering albedo; vegetation canopy; Biomass; Biomedical optical imaging; Brightness temperature; Frequency estimation; Microwave measurements; Microwave sensors; Microwave theory and techniques; Optical scattering; Optical sensors; Vegetation; AMSR-E; microwave vegetation indices; passive microwave; vegetation wet biomass;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417923
Filename :
5417923
Link To Document :
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