气候变化领域集成服务门户(CCPortal): A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index

CCPortal

DOI	10.1109/TGRS.2016.2518167
	A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index
	Chen, Jin; Rao, Yuhan; Shen, Miaogen; Wang, Cong; Zhou, Yuan; Ma, Lei; Tang, Yanhong; Yang, Xi
通讯作者	Chen, J (通讯作者)
发表日期	2016
ISSN	0196-2892
EISSN	1558-0644
起始页码	3436
结束页码	3449
卷号	54 期号:6
英文摘要	Remote sensing is a valuable way to retrieve spatially continuous information on vegetation phenological changes, which are widely used as an indicator of climate change. We propose a simple method called weighted cross-correlogram spectral matching-phenology (CCSM-P), which combines CCSM and a weighted correlation system, for detecting vegetation phenological changes by using multiyear vegetation index (VI) time series. In experiments with simulated enhanced VI (EVI) for various scenarios, CCSM-P exhibited high accuracy and robustness to noise and the potential to capture long-term phenological change trends. For a temperate grassland in northern China, CCSM-P retrieved more reasonable vegetation spring phenology fromModerate Resolution Imaging Spectroradiometer (MODIS) EVI images than the MODIS phenology product (MCD12Q2). When validated against field phenological observations in five of the AmeriFlux Network sites in the U.S. (four deciduous broadleaf forest sites and a closed shrublands site), and a cropland site in China, CCSM-P exhibited mean absolute differences (MADs) ranging from 2 to 10 days (median: 4.2 days), whereas MAD of non-CCSM methods showed larger variations, ranging from 5 to 58 days (median: 21.3 days). This is because CCSM-P integrates field phenological observations. Compared with non-CCSM methods, which are widely used to identify phenological events, CCSM-P is more accurate and less dependent on prior knowledge (thresholds or predefined functions), which indicates its effectiveness and applicability for detecting year-to-year variations and long-term change trends in phenology, and should facilitate more reliable assessments of phenological changes in climate change studies.
关键词	WINTER-WHEAT PHENOLOGY LAND-SURFACE PHENOLOGY GREEN-UP DATE SPRING PHENOLOGY GROWING-SEASON SATELLITE CLIMATE CHINA VARIABILITY RESPONSES
英文关键词	Cross-correlogram spectral matching (CCSM); moderate resolution imaging spectroradiometer (MODIS); phenological change; start of season (SOS); vegetation index (VI)
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000377477100027
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND 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/258817
推荐引用方式 GB/T 7714	Chen, Jin,Rao, Yuhan,Shen, Miaogen,et al. A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index[J]. 中国科学院青藏高原研究所,2016,54(6).
APA	Chen, Jin.,Rao, Yuhan.,Shen, Miaogen.,Wang, Cong.,Zhou, Yuan.,...&Yang, Xi.(2016).A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,54(6).
MLA	Chen, Jin,et al."A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 54.6(2016).