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	Algorithms and Applications in Grass Growth Monitoring
	Liu J. ; Yang X. ; Liu H. L. ; Qiao Z.
	2013
关键词	land-surface phenology climate modis index dates
英文摘要	Monitoring vegetation phonology using satellite data has been an area of growing research interest in recent decades. Validation is an essential issue in land surface phenology study at large scale. In this paper, double logistic function-fitting algorithm was used to retrieve phenophases for grassland in North China from a consistently processed Moderate Resolution Spectrodiometer (MODIS) dataset. Then, the accuracy of the satellite-based estimates was assessed using field phenology observations. Results show that the method is valid to identify vegetation phenology with good success. The phenophases derived from satellite and observed on ground are generally similar. Greenup onset dates identified by Normalized Difference Vegetation Index (NDVI) and in situ observed dates showed general agreement. There is an excellent agreement between the dates of maturity onset determined by MODIS and the field observations. The satellite-derived length of vegetation growing season is generally consistent with the surface observation.
出处	Abstract and Applied Analysis
收录类别	SCI
语种	英语
ISSN号	1085-3375
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30406]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Liu J.,Yang X.,Liu H. L.,et al. Algorithms and Applications in Grass Growth Monitoring. 2013.

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