DocumentCode :
3445644
Title :
Retrieval of conifer leaf area index based on the optical physical model
Author :
Tang, Yan ; Wang, Ying ; Qu, Jianguang ; Liu, Dandan
Author_Institution :
Department of Mathematics, Northeast Forestry University, Haerbin, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
1091
Lastpage :
1094
Abstract :
Compared with the traditional remote sensing, multi-angle obersvation could get the detailed three-dimensional structural information of forest through different directional observations, which provides a new method for quantitative remote sensing. In this paper the look-up table was constructed according with the different kinds of remote sensing model. The mixed pixel model was used as TM/ETM+ data was used, and the appropriate physical model was used according to the different forest sense as CHRIS datawais used. Base on the model the look-up tables were constructed,and the leaf area index was retrieved from the different kinds of data making use of interpolation. Comparing the LAI (Leaf Area Index) with MODIS 15A2 LAI, the result showes that the multi-angle remote sensing can improve the precision of retrieval of conifer LAI, and there is a certain theoretical research and practical application value
Keywords :
look-up table; mixed pixel; multi-angle remote sensing; physical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing, Sichuan, China
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6469826
Filename :
6469826
Link To Document :
بازگشت