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Effects of data temporal resolution on phenology extractions from the alpine grasslands of the Tibetan Plateau
Zhu, Yixuan1,3; Zhang, Yangjian1,2,3; Zu, Jiaxing1,3; Wang, Zhipeng1,3; Huang, Ke1,3; Cong, Nan1; Tang, Ze1,3
2019-09-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume104Pages:365-377
Corresponding AuthorZhang, Yangjian(zhangyj@igsnrr.ac.cn)
AbstractThe 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.
KeywordEnd of season Extraction algorithm Field monitoring MODIS NDVI Start of season
DOI10.1016/j.ecolind.2019.05.004
WOS KeywordNDVI TIME-SERIES ; SPRING PHENOLOGY ; CLIMATE-CHANGE ; VEGETATION ; INDEX ; FIELD ; RESPONSES ; DYNAMICS ; TRENDS ; MODEL
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of the Chinese Academy of Sciences[XDA19070303] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-STS-ZDTP-036] ; National Natural Science Foundation of China[41725003] ; National Natural Science Foundation of China[41571195]
Funding OrganizationStrategic Priority Research Program of the Chinese Academy of Sciences ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000470966000038
PublisherELSEVIER SCIENCE BV
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58944
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Yangjian
Affiliation1.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
GB/T 7714
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,2019,104:365-377.
APA Zhu, Yixuan.,Zhang, Yangjian.,Zu, Jiaxing.,Wang, Zhipeng.,Huang, Ke.,...&Tang, Ze.(2019).Effects of data temporal resolution on phenology extractions from the alpine grasslands of the Tibetan Plateau.ECOLOGICAL INDICATORS,104,365-377.
MLA Zhu, Yixuan,et al."Effects of data temporal resolution on phenology extractions from the alpine grasslands of the Tibetan Plateau".ECOLOGICAL INDICATORS 104(2019):365-377.
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