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Proceedings Paper

Fractional vegetation cover estimation over large regions using GF-1 satellite data
Author(s): Yulin Zhan; Qingyan Meng; Chunmei Wang; Juan Li; Ke Zhou; Dachong Li
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Paper Abstract

This paper evaluates the usefulness of the WFV (Wide Field View) imager onboard GF-1 satellite in vegetation mapping. Fractional vegetation cover (FVC) is an important surface microclimate parameter for characterizing land surface vegetation cover. Three kinds of remote sensing inversion models (NDVI regression model, spectral mixture analysis (SMA) model and dimidiate pixel model) were used to derive FVC with the GF-1/WFV data. The verification indicates that the FVC results based on the dimidiate pixel model are well agreement with the in situ measurements. And the estimated FVC result in Beijing-tianjin-hebei region demonstrate that the GF-1/WFV data are fit for studying vegetation over large regions.

Paper Details

Date Published: 8 November 2014
PDF: 8 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 92604B (8 November 2014); doi: 10.1117/12.2069845
Show Author Affiliations
Yulin Zhan, Institute of Remote Sensing and Digital Earth (China)
Qingyan Meng, Institute of Remote Sensing and Digital Earth (China)
Chunmei Wang, Institute of Remote Sensing and Digital Earth (China)
Juan Li, Institute of Remote Sensing and Digital Earth (China)
Ke Zhou, Institute of Remote Sensing and Digital Earth (China)
Henan Univ. (China)
Dachong Li, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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