globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.ecolind.2019.05.004
WOS记录号: WOS:000470966000038
论文题名:
Effects of data temporal resolution on phenology extractions from the alpine grasslands of the Tibetan Plateau
作者: Zhu, Yixuan1,3; Zhang, Yangjian1,2,3; Zu, Jiaxing1,3; Wang, Zhipeng1,3; Huang, Ke1,3; Cong, Nan1; Tang, Ze1,3
通讯作者: Zhang, Yangjian
刊名: ECOLOGICAL INDICATORS
ISSN: 1470-160X
EISSN: 1872-7034
出版年: 2019
卷: 104, 页码:365-377
语种: 英语
英文关键词: End of season ; Extraction algorithm ; Field monitoring ; MODIS NDVI ; Start of season
WOS关键词: NDVI TIME-SERIES ; SPRING PHENOLOGY ; CLIMATE-CHANGE ; VEGETATION ; INDEX ; FIELD ; RESPONSES ; DYNAMICS ; TRENDS ; MODEL
WOS学科分类: Biodiversity Conservation ; Environmental Sciences
WOS研究方向: Biodiversity & Conservation ; Environmental Sciences & Ecology
英文摘要:

The vegetation phenology is a commonly used indicator signaling vegetation responses to global changes. Monitoring vegetation phenology at a regional and global scale needs to rely to remote sensing data, for which multiple sources of datasets and extraction methods have been developed. To be efficient, remote sensing data with coarse temporal resolution is conventionally preferred in exploring vegetation phenology patterns at the continental or global scale. As fine temporal resolution data is increasingly available, effects of their temporal resolution on our analysis are still elusive. In this study, we applied several commonly utilized vegetation phenology extraction methods on two different temporal resolution MODIS NDVI data and compared their performances on the Tibetan Plateau (TP). The results showed there were certain discrepancies in the magnitude, trends and spatial patterns of extracted phenological parameters between the two datasets and among the different extraction methods. Generally, the phenological parameters derived from fine temporal resolution NDVI (MOD09A1) displayed later start of growing season (SOS), earlier end of growing season (EOS), shorter length of growing season (LOS), and were more accurate in capturing vegetation SOS compared with the coarse temporal resolution NDVI data (MOD13A2). The double logistic method can minimize the differences of extracted SOS or EOS between the two temporal resolution datasets. The findings of this study would improve accuracies of applying remote sensing data on monitoring vegetation dynamics and advance our understanding on vegetation responses to climate changes.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/146649
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China

Recommended Citation:
Zhu, Yixuan,Zhang, Yangjian,Zu, Jiaxing,et al. Effects of data temporal resolution on phenology extractions from the alpine grasslands of the Tibetan Plateau[J]. ECOLOGICAL INDICATORS,2019-01-01,104:365-377
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