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	A novel method for fractional vegetation coverage retrieval based on Landsat-8 and MODIS imagery
	Zheng, Xiaopo ; Sun, Yuejun ; Qin, Qiming ; Wu, Ling ; Ren, Huazhong ; Du, Chen ; He, Lian ; Zhu, Shengjie ; Hui, Jian
	2015
英文摘要	Fractional vegetation coverage (FVC) is one of the simple but crucial parameters for depicting the status of vegetation. Remote sensing is the only way to obtain regional and global FVC distribution rapidly so far. In this study, we combined the advantages of Moderate Resolution Imaging Spectrometer (MODIS) imagery and Landsat-8 imagery to retrieve high quality FVC results. First, time series of MODIS NDVI images were built to calculate the pure vegetation and background soil NDVI images. Then they were transformed to Landsat-8 resolution and were used to compute the high quality FVC image by using dimidiate pixel model. Finally, the newly proposed method was validated by ground measurements and compared with traditional method. The results showed that the root mean square deviation (RMSE) of the novel method was smaller, which meant the proposed method is feasible for FVC retrieval.; EI
语种	中文
出处	36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436924]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Zheng, Xiaopo,Sun, Yuejun,Qin, Qiming,et al. A novel method for fractional vegetation coverage retrieval based on Landsat-8 and MODIS imagery. 2015-01-01.

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