DocumentCode
3065233
Title
A new FAPAR retrieval model for continuous vegetation
Author
Yuan Liu ; Wenjie Fan ; Xiru Xu ; Gaoxing Chen
Author_Institution
Inst. of RS & GIS, Peking Univ., Beijing, China
fYear
2013
fDate
21-26 July 2013
Firstpage
3052
Lastpage
3055
Abstract
The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is the fraction of incoming solar radiation that is absorbed by green vegetation in the spectral range from 400 nm to 700 nm. FAPAR reflects the energy absorption ability of vegetation canopy. It is a critical input in many land surface models, such as crop growth models, net primary productivity models, climate models and ecological models. Existing models for FAPAR retrieval are complex and difficult to retrieve, most of them cannot be used under cloudy weather. In this paper, a new quantitative FAPAR retrieval model considering the diffuse skylight and multiple scattering between canopy and background is introduced to retrieve FAPAR of vegetation canopy. The model was used to continuous vegetation and was validated by Monte Carlo (MC) simulation and field tests. The conclusion shows that the error is less than 0.32%.
Keywords
geophysical signal processing; light scattering; photosynthesis; sunlight; vegetation mapping; FAPAR retrieval model; absorbed PAR fraction; climate models; continuous vegetation; crop growth models; diffuse skylight; ecological models; green vegetation; incoming solar radiation; land surface models; multiple scattering; net primary productivity models; photosynthetically active radiation; vegetation canopy energy absorption ability; wavelength 400 nm to 700 nm; Biological system modeling; Photonics; Reflectivity; Remote sensing; Soil; Solar radiation; Vegetation mapping; FAPAR; MC simulation; re-collision probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723470
Filename
6723470
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