IGSNRR OpenIR
Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States
Peng, Dailiang1; Zhang, Xiaoyang2; Wu, Chaoyang3; Huang, Wenjiang1; Gonsamo, Alemu4; Huete, Alfredo R.5; Didan, Kamel6; Tan, Bin7; Liu, Xinjie1; Zhang, Bing1
2017-08-15
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
Volume242Pages:33-46
Corresponding AuthorWu, Chaoyang(hefery@163.com) ; Huang, Wenjiang(huangwj@radi.ac.cn)
AbstractMany remote sensing based spring phenology products have been developed to monitor and study vegetation phenology at regional and global scales. It is important to understand how these products perform relative to each other and to ground observations. In this study, we extracted spring green-up onset dates (GUD) over the contiguous United States (CONUS) from six major land surface phenology (LSP) products: (1) Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Dynamics Phenology (MCD12Q2); (2) Vegetation Index and Phenology Multi-sensor Phenology (VIPPHENEVI2); (3) Global Long-Term Climate Modeling Grid Land Surface Phenology (CMGLSP); (4 and 5) North American Carbon Program (NACP) Phenology (MODO9Q1PEVI and MOD15PHN); and (6) USGS/EROS advanced very high resolution radiometer (AVHRR) phenology (AVHRRP). We characterized and compared the GUD data in these LSP products, and evaluated their accuracy using ground-based phenology observations [i.e., human observations of first leaf and sensor readings of gross primary productivity (GPP)] from the USA National Phenology Network (USA-NPN) and AmeriFlux. The results revealed the consistencies and discrepancies of GUD estimates among LSP products. Intercomparison of the six products indicated that the root mean square error (RMSE) of these products range from 17.8 days to 31.5 days, whereas AVHRRP GUD has the lowest correlation and largest RMSE (similar to 30 days) relative to other products. When compared to ground observations, GUD estimates in six LSP products generally have RMSE values of similar to 20 days and significant correlations (p < 0.001). For the products (MCD12Q2, AVHRRP, MODO9Q1PEVI, and MOD15PHN) available for comparisons in the short-term period (from 2001-2007), AVHRRP GUD presented relatively weaker correlations and a lower index of agreement (IOA), however, MCD12Q2 GUD showed overall slightly better consistencies with ground observations. In the two long-term products (CMGLSP and VIPPHENEVI2 from 1982-2013), CMGLSP exhibited stronger correlations, lower RMSE, and higher IOA with ground observations of the first leaf dates than VIPPHENEVI2 did. To our knowledge, our study provides the first comprehensive evaluation of phenology products using two independent ground-based datasets.
KeywordRemote sensing First leaf dates Land surface phenology Green-up onset date Evaluation
DOI10.1016/j.agrformet.2017.04.009
WOS KeywordLAND-SURFACE PHENOLOGY ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; NORTHERN-HEMISPHERE ; FOREST PHENOLOGY ; DYNAMICS PRODUCT ; CANOPY PHENOLOGY ; CARBON UPTAKE ; NEAR-SURFACE ; FLUXNET DATA
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFB0501501] ; Chinese Academy of Sciences[XDB03030406] ; National Natural Science Foundation of China[41571423] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[Y4YR1300QM] ; key Research Program of Frontier Sciences, CAS[QYZDB-SSW-DQC011] ; Director Foundation of Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences[Y6SJ020CX]
Funding OrganizationNational Key Research and Development Program of China ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; key Research Program of Frontier Sciences, CAS ; Director Foundation of Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS IDWOS:000403988500004
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63351
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWu, Chaoyang; Huang, Wenjiang
Affiliation1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
2.South Dakota State Univ, Geospatial Sci Ctr Excellence, Brookings, SD 57007 USA
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Univ Toronto, Dept Geog & Plannin&, 100 St George St, Toronto, ON M5S 3G3, Canada
5.Univ Technol Sydney, Climate Change Cluster, Sydney, NSW 2007, Australia
6.Univ Arizona, Dept Elect & Comp Engn, 1230 E Speedway, Tucson, AZ 85721 USA
7.Earth Resources Technol Inc, NASA, Goddard Space Flight Ctr, Code 614-5, Greenbelt, MD 20771 USA
Recommended Citation
GB/T 7714
Peng, Dailiang,Zhang, Xiaoyang,Wu, Chaoyang,et al. Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States[J]. AGRICULTURAL AND FOREST METEOROLOGY,2017,242:33-46.
APA Peng, Dailiang.,Zhang, Xiaoyang.,Wu, Chaoyang.,Huang, Wenjiang.,Gonsamo, Alemu.,...&Zhang, Bing.(2017).Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States.AGRICULTURAL AND FOREST METEOROLOGY,242,33-46.
MLA Peng, Dailiang,et al."Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States".AGRICULTURAL AND FOREST METEOROLOGY 242(2017):33-46.
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