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
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