Spatial and temporal dynamics of cropland in the Sanjiang Plain from 2014 to 2020 based on annual 30 m crop data layers
文献类型：期刊论文
| 作者 | Jin, Cui; Zhang, Zeyu; Cai, Hongyan3; Cao, Ge; Li, Xintao2; Li, Xueming |
| 刊名 | JOURNAL OF AGRICULTURAL SCIENCE
 |
| 出版日期 | 2023-04-01 |
| 卷号 | N/A |
| ISSN号 | 1469-5146 |
| 关键词 | Decision tree classification food security land cover and land use change remote sensing-based crop mapping spatio-temporal dynamic analysis |
| DOI | 10.1017/S002185962300014X |
| 文献子类 | Article; Early Access |
| 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 real-time 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 10 m 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 ; REGION ; SCALE |
| WOS研究方向 | Agriculture |
| 出版者 | CAMBRIDGE UNIV PRESS |
| WOS记录号 | WOS:000949680000001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190291]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & NaturalResources 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 30 m crop data layers[J]. JOURNAL OF AGRICULTURAL SCIENCE,2023,N/A. |
| 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 30 m crop data layers.JOURNAL OF AGRICULTURAL SCIENCE,N/A. |
| MLA | Jin, Cui,et al."Spatial and temporal dynamics of cropland in the Sanjiang Plain from 2014 to 2020 based on annual 30 m crop data layers".JOURNAL OF AGRICULTURAL SCIENCE N/A(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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