气候变化领域集成服务门户(CCPortal): How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?

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DOI	10.3390/rs11182137
	How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?
	Liu, Licong; Cao, Ruyin; Shen, Miaogen; Chen, Jin; Wang, Jianmin; Zhang, Xiaoyang
通讯作者	Cao, RY (通讯作者)
发表日期	2019
EISSN	2072-4292
卷号	11 期号:18
英文摘要	As an important land-surface parameter, vegetation phenology has been estimated from observations by various satellite-borne sensors with substantially different spatial resolutions, ranging from tens of meters to several kilometers. The inconsistency of satellite-derived phenological metrics (e.g., green-up date, GUD, also known as the land-surface spring phenology) among different spatial resolutions, which is referred to as the scale effect on GUD, has been recognized in previous studies, but it still needs further efforts to explore the cause of the scale effect on GUD and to quantify the scale effect mechanistically. To address these issues, we performed mathematical analyses and designed up-scaling experiments. We found that the scale effect on GUD is not only related to the heterogeneity of GUD among fine pixels within a coarse pixel, but it is also greatly affected by the covariation between the GUD and vegetation growth speed of fine pixels. GUD of a coarse pixel tends to be closer to that of fine pixels with earlier green-up and higher vegetation growth speed. Therefore, GUD of the coarse pixel is earlier than the average of GUD of fine pixels, if the growth speed is a constant. However, GUD of the coarse pixel could be later than the average from fine pixels, depending on the proportion of fine pixels with later GUD and higher growth speed. Based on those mechanisms, we proposed a model that accounted for the effects of heterogeneity of GUD and its co-variation with growth speed, which explained about 60% of the scale effect, suggesting that the model can help convert GUD estimated at different spatial scales. Our study provides new mechanistic explanations of the scale effect on GUD.
关键词	LAND-SURFACE PHENOLOGY GREEN-UP TIBETAN PLATEAU MODIS NDVI TEMPERATURE SIMULATION AVHRR ONSET DATE
英文关键词	land surface phenology; scale effect; spatial heterogeneity; spring phenology; spatial resolution; vegetation index; vegetation growth speed
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000489101500067
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259553
推荐引用方式 GB/T 7714	Liu, Licong,Cao, Ruyin,Shen, Miaogen,et al. How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?[J]. 中国科学院青藏高原研究所,2019,11(18).
APA	Liu, Licong,Cao, Ruyin,Shen, Miaogen,Chen, Jin,Wang, Jianmin,&Zhang, Xiaoyang.(2019).How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?.REMOTE SENSING,11(18).
MLA	Liu, Licong,et al."How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?".REMOTE SENSING 11.18(2019).