Paper
15 November 2007 Estimation vegetation fraction by remote sensing based on Beijing-1 microsatellite data
Tao Chen, Pingxiang Li, Liangpei Zhang, Yalan Liu
Author Affiliations +
Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871X (2007) https://doi.org/10.1117/12.750573
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
"Beijing-1" microsatellite is a new earth observation satellite which China has the right of its operation, management and controlment. It has various technological advantages. This paper explores the feasibility of using "Beijing-1" microsatellite data to estimate vegetation fraction. In this study the Drainage basin of Miyun Reservoir is selected as the study area, and the NDVI method for dimidiate pixel model is chosen as the study method. Through validating with field-investigated data, which is obtained by calculating the vegetation fraction on the digital photography of each land cover type, the average estimated accuracy of vegetation fraction of all land cover types is more than 87.5% in the study region. The result shows that using the "Beijing-1" microsatellite data to estimate and monitor the vegetation fraction at a large scale is feasible.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Chen, Pingxiang Li, Liangpei Zhang, and Yalan Liu "Estimation vegetation fraction by remote sensing based on Beijing-1 microsatellite data", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871X (15 November 2007); https://doi.org/10.1117/12.750573
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KEYWORDS
Vegetation

Data modeling

Remote sensing

Data analysis

Data acquisition

Reflectivity

Data conversion

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