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
刊名AGRICULTURAL AND FOREST METEOROLOGY
2017-08-15
卷号242页码:33-46
关键词Remote sensing First leaf dates Land surface phenology Green-up onset date Evaluation
ISSN号0168-1923
DOI10.1016/j.agrformet.2017.04.009
通讯作者Wu, Chaoyang(hefery@163.com) ; Huang, Wenjiang(huangwj@radi.ac.cn)
英文摘要Many 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.
资助项目National 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]
WOS关键词LAND-SURFACE PHENOLOGY ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; NORTHERN-HEMISPHERE ; FOREST PHENOLOGY ; DYNAMICS PRODUCT ; CANOPY PHENOLOGY ; CARBON UPTAKE ; NEAR-SURFACE ; FLUXNET DATA
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000403988500004
资助机构National 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
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/63350]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Chaoyang; Huang, Wenjiang
作者单位1.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
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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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