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Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations

文献类型：期刊论文

作者Peng, Dailiang2,3; Wu, Chaoyang4; Li, Cunjun5; Zhang, Xiaoyang6; Liu, Zhengjia1; Ye, Huichun2,3; Luo, Shezhou2; Liu, Xinjie2; Hug, Yong7; Fang, Bin8
刊名ECOLOGICAL INDICATORS
出版日期2017-06-01
卷号77页码:323-336
关键词Phenology Normalized difference vegetation index Enhanced vegetation index National Phenology Network AmeriFlux GPP
ISSN号1470-160X
DOI10.1016/j.ecolind.2017.02.024
通讯作者Wu, Chaoyang(liefery@I63.com)
英文摘要Advances in the timing of spring green-up date are a typical response of vegetation global change. Longterm observations of plant phenology have been used to track vegetation response to climate change. Normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) have been the most commonly used indicators in reconstructing spring green-up dates from remote sensing over the past several decades. The Moderate Resolution Imaging Spectroradiometer (MODIS) based phenology time series from NDVI and EVI with an enhanced TIMESAT algorithm are the two operational phenology products developed recently with sun-sensor geometry corrected reflectance. However, a comprehensive intercomparison and evaluation of these two spring green-up datasets using intensive ground observations have not been conducted, limiting their applications in regional interpretation of land surface phenology. Therefore, we used 455 ground observations from USA National Phenology Network (NPN) and 106 observations from 21 AmeriFlux sites to assess and validate the spring green-up dates for United States for 2000-2013. Our results indicate that the spring green-up dates from NDVI and EVI showed a good agreement in eastern United States, while substantial differences (70 days) were found in western and southern areas. Ground observations generally had a significant correlation (p < 0.01) with the two MODIS spring green-up dates, especially for deciduous broadleaf forests with root mean square error (RMSE) of 12 days and 16 days when compared with USA-NPN and AmeriFlux observations, respectively. Spring green-up dates from EVI overall showed a better relationship and a lower RMSE in reference to both USA-NPN and AmeriFlux observations than NDVI-based spring green-up dates. Our results highlight the importance of a rigorous validation of remote sensing products to better understand their limitations in operational applications. (C) 2017 Elsevier Ltd. All rights reserved.
WOS关键词LAND-SURFACE PHENOLOGY ; VEGETATION PHENOLOGY ; SATELLITE DATA ; TIME-SERIES ; INTERANNUAL VARIABILITY ; CLIMATE-CHANGE ; UNITED-STATES ; CARBON-BUDGET ; FOREST ; FLUXNET
资助项目National Key Research and Development Program of China[2016YFB0501501] ; National Natural Science Foundation of China[41571423] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[Y4YR1300QM] ; SLRSS[16ZY-03] ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences[XDB03030406]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000406435800034
出版者ELSEVIER SCIENCE BV
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; SLRSS ; Strategic Priority Research Program (B) of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/62542]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Chaoyang
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
3.Key Lab Earth Observat, Sanya 572029, Hainan, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
6.South Dakota State Univ, Geospatial Sci Ctr Excellence, Brookings, SD 57007 USA
7.Chongqing Inst Surveying & Planning Land Resource, Chongqing 400020, Peoples R China
8.Columbia Univ, Dept Earth & Environm Engn, New York, NY 10027 USA
推荐引用方式
GB/T 7714		 Peng, Dailiang,Wu, Chaoyang,Li, Cunjun,et al. Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations[J]. ECOLOGICAL INDICATORS,2017,77:323-336.
APA Peng, Dailiang.,Wu, Chaoyang.,Li, Cunjun.,Zhang, Xiaoyang.,Liu, Zhengjia.,...&Fang, Bin.(2017).Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations.ECOLOGICAL INDICATORS,77,323-336.
MLA Peng, Dailiang,et al."Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations".ECOLOGICAL INDICATORS 77(2017):323-336.

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来源：地理科学与资源研究所

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