中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial and temporal dynamics of cropland in the Sanjiang Plain from 2014 to 2020 based on annual 30m crop data layers

文献类型:期刊论文

作者Jin, Cui3; Zhang, Zeyu3; Cai, Hongyan2; Cao, Ge3; Li, Xintao1; Li, Xueming3
刊名JOURNAL OF AGRICULTURAL SCIENCE
出版日期2023-04-01
卷号161期号:2页码:12
ISSN号0021-8596
关键词Decision tree classification food security land cover and land use change remote sensing-based crop mapping spatio-temporal dynamic analysis
DOI10.1017/S002185962300014X
通讯作者Cai, Hongyan(caihy@igsnrr.ac.cn)
英文摘要The land cover of the Sanjiang Plain has changed dramatically since the 1950s. Although previous studies have analysed its spatiotemporal dynamics at long time intervals, a near realtime and accurate representation of the interannual evolution of cropping patterns in this region is of far-reaching importance for rationally allocating agricultural resources and ensuring food security. Based on the 30 m and 10m land cover datasets in 2015 and 2017-2019, the current study used Landsat-8 satellite data in 2014, 2016 and 2020 to identify paddy rice and dryland crops using a decision tree classification approach and constructed the annual cropland datasets of the Sanjiang Plain from 2014 to 2020. The results show that the overall classification accuracies of crop datasets exceeded 95%, and the Kappa coefficients were higher than 0.92. The average annual accuracies of users and producers were 93% and 94% for rice fields and 97% and 95% for dryland crops, respectively. During the 7 years, the total area of paddy fields and dryland crops decreased by 5% and 8%. However, with minor positive and negative variation between years. 24.2% of paddy rice and 42% of dryland crops has been cultivated under 4 years. The centres of gravity for both crops mainly aggregated in the central counties with the migration direction and magnitude varying interannually. The current study emphasizes the importance of establishing annual high-resolution crop datasets to track the detailed spatio-temporal trajectories of cropping patterns that are essential to support sustainable cropland management and agricultural development.
WOS关键词RICE PLANTING AREA ; WETLAND DEGRADATION ; NORTHEAST CHINA ; DRIVING FORCES
资助项目Research Foundation of Education Bureau of Liaoning Province, China[LJKMZ20221414] ; National Natural Science Foundation of China[41801340] ; National key research and development programme of China[2021YFD1500101]
WOS研究方向Agriculture
语种英语
出版者CAMBRIDGE UNIV PRESS
WOS记录号WOS:001157847500002
资助机构Research Foundation of Education Bureau of Liaoning Province, China ; National Natural Science Foundation of China ; National key research and development programme of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/202778]  
专题中国科学院地理科学与资源研究所
通讯作者Cai, Hongyan
作者单位1.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
3.Liaoning Normal Univ, Sch Geog, 850 Huanghe Rd, Dalian 116029, Peoples R China
推荐引用方式
GB/T 7714
Jin, Cui,Zhang, Zeyu,Cai, Hongyan,et al. Spatial and temporal dynamics of cropland in the Sanjiang Plain from 2014 to 2020 based on annual 30m crop data layers[J]. JOURNAL OF AGRICULTURAL SCIENCE,2023,161(2):12.
APA Jin, Cui,Zhang, Zeyu,Cai, Hongyan,Cao, Ge,Li, Xintao,&Li, Xueming.(2023).Spatial and temporal dynamics of cropland in the Sanjiang Plain from 2014 to 2020 based on annual 30m crop data layers.JOURNAL OF AGRICULTURAL SCIENCE,161(2),12.
MLA Jin, Cui,et al."Spatial and temporal dynamics of cropland in the Sanjiang Plain from 2014 to 2020 based on annual 30m crop data layers".JOURNAL OF AGRICULTURAL SCIENCE 161.2(2023):12.

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来源:地理科学与资源研究所

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