中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Tracking spatiotemporal dynamics of irrigated croplands in China from 2000 to 2019 through the synergy of remote sensing, statistics, and historical irrigation datasets

文献类型:期刊论文

作者Zhang, Chao1,2; Dong, Jinwei1; Zuo, Lijun3; Ge, Quansheng1
刊名AGRICULTURAL WATER MANAGEMENT
出版日期2022-04-01
卷号263页码:13
ISSN号0378-3774
关键词Annual irrigated areas Irrigation dynamics MODIS data Improved irrigation infrastructure Water resource management
DOI10.1016/j.agwat.2022.107458
通讯作者Ge, Quansheng(geqs@igsnrr.ac.cn)
英文摘要Irrigation is widely implemented in China to enhance grain production and ensure food security. Spatiotemporal information on irrigation is critically important, but the existing global and regional irrigation products have a coarse spatial resolution, low accuracy, and short temporal coverage, which is a knowledge gap to be filled. Generating explicit and accurate information on the spatial and temporal extent of irrigation is essential to underpin and facilitate water resource allocation and management, as well as to understand catchment hy-drology, and evaluate irrigation infrastructure investment. We proposed a two-step strategy to map annual irrigated areas at 500 m resolution in China from 2000 to 2019. We first generated initial irrigation maps using MODIS data and statistical data (MIrAD-GI). Then we combined MIrAD-GI, the existing irrigation maps, and land use/cover products with irrigation information, into an improved series of annual irrigation maps (IrriMap_Syn) with constrained statistics. Afterwards, pixel-wise accuracy assessment for IrriMap_Syn was conducted in four representative regions in three years. The resultant irrigation dataset performed well with a mean overall ac-curacy of 0.89 and a kappa coefficient of 0.82. According to our annual irrigation maps, the total irrigated area in China increased by 24.8%, from 52.8 million ha in 2000-65.9 million ha in 2019, at a rate of 690,000 ha per year. Spatially, irrigated croplands increased substantially in North China, especially in Xinjiang and Hei-longjiang. Land reclamation largely contributed to the increase in irrigation in North China. A growing popu-lation and improved irrigation infrastructure also promoted the increase in irrigated areas. As the first of its kind in the country, our spatially explicit maps of irrigated croplands advance our understanding of the spatiotem-poral pattern of irrigation dynamics in China and are expected to contribute to sustainable water resource management and irrigation strategies in the face of climate change.
WOS关键词LAND-USE ; GROUNDWATER DEPLETION ; HIGH-PLAINS ; PATTERNS ; AGRICULTURE ; AREAS ; CLIMATE ; MODIS ; WATER ; VEGETATION
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100400] ; National Natural Science Foundation of China[41871349]
WOS研究方向Agriculture ; Water Resources
语种英语
出版者ELSEVIER
WOS记录号WOS:000792913100003
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/176592]  
专题中国科学院地理科学与资源研究所
通讯作者Ge, Quansheng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100093, Peoples R China
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Zhang, Chao,Dong, Jinwei,Zuo, Lijun,et al. Tracking spatiotemporal dynamics of irrigated croplands in China from 2000 to 2019 through the synergy of remote sensing, statistics, and historical irrigation datasets[J]. AGRICULTURAL WATER MANAGEMENT,2022,263:13.
APA Zhang, Chao,Dong, Jinwei,Zuo, Lijun,&Ge, Quansheng.(2022).Tracking spatiotemporal dynamics of irrigated croplands in China from 2000 to 2019 through the synergy of remote sensing, statistics, and historical irrigation datasets.AGRICULTURAL WATER MANAGEMENT,263,13.
MLA Zhang, Chao,et al."Tracking spatiotemporal dynamics of irrigated croplands in China from 2000 to 2019 through the synergy of remote sensing, statistics, and historical irrigation datasets".AGRICULTURAL WATER MANAGEMENT 263(2022):13.

入库方式: OAI收割

来源:地理科学与资源研究所

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