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Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain
Liu, Zhengjia; Wang, Sisi
2018-12-01
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
Volume11Issue:12Pages:4630-4636
Corresponding AuthorLiu, Zhengjia(liuzj@igsnrr.ac.cn)
AbstractWheat vegetative growth, defined as the stage from green-up date to heading date (STAGE), is a crucial phrase, which largely affects crop yield. Previous some studies mainly focused on site-based changes of STAGE. However, there are few studies concerning large-scale changes of STAGE, which limits our understanding of regional changes of STAGE in response to climate change. Here, we introduced robust satellite-based phenological algorithms as well as third-generation global inventory modeling and mapping studies normalized difference vegetation index for the period of 1982-2015 to spatially derive winter wheat green-up date, heading date, and STAGE over croplands of the North China Plain (NCP). Changes of STAGE and their response to climate change were then investigated. Results showed that a strong predicted ability of introduced heading date algorithm was observed with r of 0.88 (p < 0.01), bias of -1.0 day and RMSE of 4.9 days. We found that unlike the patterns of winter wheat green-up and heading date, STAGE spatially decreased from southwestern to northeastern NCP with regional averaged stage of 41.2 +/- 4.6 days. Advanced green-up date faster than advanced heading date induced lengthened stage of entire NCP with 1 day/decade (R-2 = 0.11, p = 0.06). Stage of 23.4% cropland pixels performed significantly lengthened trends (p < 0.05), mainly locating in western NCP. The relationships between STAGE and climatic variables suggested that compared to precipitation, temperature was more responsible for changes of STAGE (r = 0.59, p < 0.01). This study highlights important roles of remote sensing data and satellite-based phenological algorithms for regional crop growth monitoring and management.
KeywordClimate change crop phenology phenology algorithms remote sensing the North China Plain (NCP)
DOI10.1109/JSTARS.2018.2870329
WOS KeywordLEAF-AREA INDEX ; GREEN-UP DATE ; TIME-SERIES ; CROP MANAGEMENT ; PHENOLOGY ; IMPACTS ; VARIABILITY ; ECOSYSTEMS ; PATTERNS ; DISEASES
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601582] ; National Key Research and Development Program of China[2017YFC0504701] ; Start-Up Research Program of IGSNRR
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Start-Up Research Program of IGSNRR
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000455462100008
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/50512
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Zhengjia
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Zhengjia,Wang, Sisi. Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(12):4630-4636.
APA Liu, Zhengjia,&Wang, Sisi.(2018).Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(12),4630-4636.
MLA Liu, Zhengjia,et al."Detecting Changes of Wheat Vegetative Growth and Their Response to Climate Change Over the North China Plain".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.12(2018):4630-4636.
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