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学科主题: 生物科学::普通生物学
题名: A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index
作者: Chen, J (Chen, Jin)1; Rao, YH (Rao, Yuhan)1; Shen, MG (Shen, Miaogen)2, 3; Wang, C (Wang, Cong)1; Zhou, Y (Zhou, Yuan)1; Ma, L (Ma, Lei)1; Tang, YH (Tang, Yanhong)4; Yang, X (Yang, Xi)5, 6
通讯作者: Chen, J
刊名: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
发表日期: 2016
DOI: 10.1109/TGRS.2016.2518167
卷: 54, 期:6, 页:3436-3449
收录类别: SCI
合作性质: 国际
文章类型: Article
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.
语种: 英语
WOS记录号: WOS:000377477100027
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.itpcas.ac.cn/handle/131C11/7688
Appears in Collections:图书馆_期刊论文

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作者单位: 1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
4.Natl Inst Environm Studies, Ibaraki 3058506, Japan
5.Brown Univ, Dept Geol Sci, Providence, RI 02912 USA
6.Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA

Recommended Citation:
Chen, J ,Rao, YH ,Shen, MG ,et al. A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2016,54(6):3436-3449.
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