DocumentCode
1886832
Title
Estimation of Vegetation Fractional Coverage in Lugu Lake Based on the Dimidiate Pixel Model
Author
Luo Huifen ; Miao Fang ; Ye Chengming
Author_Institution
Key Lab. of Earth Exploration & Inf. Tech. of Minist. of Educ., Chengdu Univ. of Technol., Chengdu, China
fYear
2013
fDate
16-17 Jan. 2013
Firstpage
532
Lastpage
535
Abstract
This paper tested the ability of the dimidiate pixel model on extraction of the changes about vegetation fractional coverage vegetation includes all plant communities that cover the earth. Vegetation fractional coverage is an important index to measure vegetation condition. It is important to hydrology and ecology. This paper selected the two phase TM of Lugu Lake area images for the data sources. TM image was used to derive normalized difference vegetation index (NDVI) and vegetation fractional coverage (VFC) by dimidiate pixel model after geometric correction, radiometric correction and atmospheric correction. VFC in different districts of Lugu Lake were calculated in 1995 and 2006 by employing method for dimidiate pixel model. The results show that the vegetation fractional coverage in Lugu Lake area from 1995 to 2006 has changed significantly. The average vegetation fractional coverage raised from 50.94% to 59.82%, rising value is 8.88%. The vegetation fractional coverage of Grass Sea has improved significantly.
Keywords
ecology; hydrology; lakes; vegetation; AD 1995; AD 2006; Grass Sea; Lugu Lake area images; TM images; atmospheric correction; data sources; dimidiate pixel model; ecology; geometric correction; hydrology; model; normali%ed difference vegetation index; plant communities; radiometric correction; vegetation condition; vegetation fractional coverage; vegetation ractional coverage estimation; Automation; Mechatronics; Lugu Lake; Normalized Difference Vegetation Index (NDVI); Vegetation fractional coverage (VFC);
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5652-7
Type
conf
DOI
10.1109/ICMTMA.2013.132
Filename
6493784
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