DocumentCode
2137455
Title
Study on ecological indices from NDVI using NOAA/AVHRR data in western Loess Plateau of China
Author
Zhan, Zhiming ; QIN, Qiming ; Wang, Xin ; Ghulam, Abduwasit
Author_Institution
Inst. of Remote Sensing & GIS, Peking Univ., Beijing
Volume
6
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
3650
Abstract
NDVI is a land surface parameter which plays an important role in ecology. It is also sensitive in the circulation process between land surface and atmosphere. The earlier research indicated that NDVI has closely relationship with some main biophysics parameters such as photosynthetically active radiation, leaf area index, biomass of vegetation, and so on. So NDVI is widely used in the study of global vegetation. In this article, it was presented that ecological indexes have been derived from NDVI using NOAA/AVHRR data by the method of principle component analysis (PCA). After the PCA of NDVI which calculated form the NOAA/AVHRR data, the relationship analysis aimed at the four ecological parameters which derived from NDVI. Then the results show that the PCA can compress the key information into four foremost principal components which would be called the ecological indices (EI). And the first principal component reflects the basic situation of vegetation overlay (EI_all), the second (EI_ss), the third (EI_ws) and the fourth (EI_aw) principal components indicated the vegetation change in seasons respectively. According to the direction curves of seasonal vegetation change, the four principal components seem to be their biological significance
Keywords
ecology; photosynthesis; principal component analysis; vegetation mapping; China; NDVI; NOAA/AVHRR data; PCA; biophysics parameters; circulation process; ecological index; ecological parameters; ecology; land surface parameter; leaf area index; photosynthetically active radiation; principle component analysis; relationship analysis; seasonal vegetation change; vegetation biomass; vegetation overlay; western Loess Plateau; Atmosphere; Biomass; Biophysics; Environmental factors; Geographic Information Systems; Land surface; Principal component analysis; Remote sensing; Springs; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369910
Filename
1369910
Link To Document