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ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000-2015 based on leaf area index (LAI) products

文献类型：期刊论文

作者Luo, Yuchuan1,2; Zhang, Zhao1,2; Chen, Yi3; Li, Ziyue1,2; Tao, Fulu3,4
刊名EARTH SYSTEM SCIENCE DATA
出版日期2020-01-31
卷号12期号:1页码:197-214
ISSN号1866-3508
DOI10.5194/essd-12-197-2020
通讯作者Zhang, Zhao(sunny_zhang@bnu.edu.cn)
英文摘要Crop phenology provides essential information for monitoring and modeling land surface phenology dynamics and crop management and production. Most previous studies mainly investigated crop phenology at the site scale; however, monitoring and modeling land surface phenology dynamics at a large scale need high-resolution spatially explicit information on crop phenology dynamics. In this study, we produced a 1 km grid crop phenological dataset for three main crops from 2000 to 2015 based on Global Land Surface Satellite (GLASS) leaf area index (LAI) products, called ChinaCropPhen1km. First, we compared three common smoothing methods and chose the most suitable one for different crops and regions. Then, we developed an optimal filter-based phenology detection (OFP) approach which combined both the inflection- and threshold-based methods and detected the key phenological stages of three staple crops at 1 km spatial resolution across China. Finally, we established a high-resolution gridded-phenology product for three staple crops in China during 2000-2015. Compared with the intensive phenological observations from the agricultural meteorological stations (AMSs) of the China Meteorological Administration (CMA), the dataset had high accuracy, with errors of the retrieved phenological date being less than 10 d, and represented the spatiotemporal patterns of the observed phenological dynamics at the site scale fairly well. The well-validated dataset can be applied for many purposes, including improving agricultural-system or earth-system modeling over a large area.
WOS关键词NDVI TIME-SERIES ; WINTER-WHEAT ; CLIMATE-CHANGE ; RICE PHENOLOGY ; DATA ASSIMILATION ; VEGETATION PHENOLOGY ; YIELD ESTIMATION ; GROWTH DURATION ; SINGLE RICE ; MODIS DATA
资助项目National Key Research and Development Program of China[2019YFA0607401] ; National Key Research and Development Program of China[2017YFD0300301] ; National Basic Research Program of China[41977405] ; National Basic Research Program of China[31561143003] ; National Basic Research Program of China[31761143006]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000512297300001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构National Key Research and Development Program of China ; National Basic Research Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/132309]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Zhao
作者单位1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Fac Geog Sci, Beijing 100875, Peoples R China
2.Beijing Normal Univ, MOE Key Lab Environm Change & Nat Hazards, Fac Geog Sci, Beijing 100875, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Yuchuan,Zhang, Zhao,Chen, Yi,et al. ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000-2015 based on leaf area index (LAI) products[J]. EARTH SYSTEM SCIENCE DATA,2020,12(1):197-214.
APA Luo, Yuchuan,Zhang, Zhao,Chen, Yi,Li, Ziyue,&Tao, Fulu.(2020).ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000-2015 based on leaf area index (LAI) products.EARTH SYSTEM SCIENCE DATA,12(1),197-214.
MLA Luo, Yuchuan,et al."ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000-2015 based on leaf area index (LAI) products".EARTH SYSTEM SCIENCE DATA 12.1(2020):197-214.

入库方式： OAI收割

来源：地理科学与资源研究所

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