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Proceedings Paper

Extraction of vegetation fraction based on the dimidiate pixel model and vegetation index transform plan
Author(s): Yaqin Cui; Youqing Luo; Lei Wang
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Paper Abstract

In order to derive high accuracy vegetation fraction, the article combines QuickBird image data and TM image data, based on normalized difference vegetation index (NDVI) of dimidiate pixel model and vegetation index transform plan, then derive vegetation fraction of desertification area, take an example of half-shrub Artemisia ordosica Krasch. Lingwu in Ningxia. By field surveys, the result of estimation of vegetation fraction is proved to be valid, the correlation coefficient between field survey data and extracted values from the vegetation coverage imagery was 0. 881, especially in fixed sandy land. The results show that using this improved model to estimate vegetation fraction is feasible. The model can be used to many scales remote sensing data, and Northwest Territories in China.

Paper Details

Date Published: 5 February 2011
PDF: 8 pages
Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 775202 (5 February 2011); doi: 10.1117/12.886240
Show Author Affiliations
Yaqin Cui, Beijing Forestry Univ. (China)
Youqing Luo, Beijing Forestry Univ. (China)
Lei Wang, Beijing Forestry Univ. (China)


Published in SPIE Proceedings Vol. 7752:
PIAGENG 2010: Photonics and Imaging for Agricultural Engineering
Honghua Tan, Editor(s)

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