IGSNRR OpenIR
Spring green-up date derived from GIMMS3g and SPOT-VGT NDVI of winter wheat cropland in the North China Plain
Liu, Zhengjia1; Wu, Chaoyang1,2; Liu, Yansui1,2; Wang, Xiaoyue2,3; Fang, Bin4; Yuan, Wenping5; Ge, Quansheng1,2
2017-08-01
Source PublicationISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
Volume130Pages:81-91
Corresponding AuthorWu, Chaoyang(wucy@igsnrr.ac.cn) ; Ge, Quansheng(gegs@igsnrr.ac.cn)
AbstractSatellite temporal resolution affects the fitting accuracy of vegetation growth curves. However, there are few studies that evaluate the impact of different satellite data (including temporal resolution and time series change) on spring green-up date (GUD) extraction. In this study, four GUD algorithms and two different temporal resolution satellite data (GIMMS3g during 1982-2013 and SPOT-VGT during 1999-2013) were used to investigate winter wheat GUD in the North China Plain. Four GUD algorithms included logistic-NDVI (normalized difference vegetation index), logistic-cumNDVI (cumulative NDVI), polynomial-NDVI and polynomial-cumNDVI algorithms. All algorithms and data were first regrouped into eight controlled cases. At site scale, we evaluated the performance of each case using correlation coefficient (r), bias and root mean square error (RMSE). We further compared spatial patterns and inter-annual trends of GUD inferred from different algorithms, and then analyzed the difference between GIMMS3g-based GUD and SPOT-VGT-based GUD. Our results showed that all satellite-based GUD were correlated with observations with r ranging from 0.32 to 0.57 (p < 0.01). SPOT-VGT-based GUD generally had better correlations with observed GUD than those of GIMMS3g. Spatially, SPOT-VGT-based GUD performed more reasonable spatial distributions. Inter-annual regional averaged satellite-based GUD presented overall advanced trends during 1982-2013 (0.3-2.0 days/decade) while delayed trends were observed during 1999-2013 (1.7-7.4 days/decade for GIMMS3g and 3.8-7.4 days/decade for SPOTVGT). However, their significance levels were highly dependent on the data and algorithms used. Our findings suggest cautions on previous results of inter-annual variability of phenology from a single data/method. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
KeywordSpring phenology Winter wheat GIMMS3g SPOT-VGT Logistic fitting Polynomial fitting
DOI10.1016/j.isprsjprs.2017.05.015
WOS KeywordLAND-SURFACE PHENOLOGY ; TIME-SERIES DATA ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; UNITED-STATES ; TEMPERATE ECOSYSTEMS ; WARMING HIATUS ; FIELD CROPS ; TRENDS ; MODIS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41522109] ; National Natural Science Foundation of China[41601582] ; National Natural Science Foundation of China[41371013] ; key Research Program of Frontier Sciences, CAS[QYZDB-SSW-DQC011] ; China Postdoctoral Science Foundation[2016M590149]
Funding OrganizationNational Natural Science Foundation of China ; key Research Program of Frontier Sciences, CAS ; China Postdoctoral Science Foundation
WOS Research AreaPhysical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000408077200006
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61548
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWu, Chaoyang; Ge, Quansheng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
4.Columbia Univ, Dept Earth & Environm Engn, 500 W 120th St, New York, NY 10027 USA
5.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou 519082, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Liu, Zhengjia,Wu, Chaoyang,Liu, Yansui,et al. Spring green-up date derived from GIMMS3g and SPOT-VGT NDVI of winter wheat cropland in the North China Plain[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2017,130:81-91.
APA Liu, Zhengjia.,Wu, Chaoyang.,Liu, Yansui.,Wang, Xiaoyue.,Fang, Bin.,...&Ge, Quansheng.(2017).Spring green-up date derived from GIMMS3g and SPOT-VGT NDVI of winter wheat cropland in the North China Plain.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,130,81-91.
MLA Liu, Zhengjia,et al."Spring green-up date derived from GIMMS3g and SPOT-VGT NDVI of winter wheat cropland in the North China Plain".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 130(2017):81-91.
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