Agricultural Land Abandonment and Retirement Mapping in the Northern China Crop-Pasture Band Using Temporal Consistency Check and Trajectory-Based Change Detection Approach
文献类型：期刊论文
| 作者 | Du, Zhenrong1,2; Yang, Jianyu1; Ou, Cong1,3; Zhang, Tingting1 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 60页码:12 |
| 关键词 | Change detection Google Earth Engine (GEE) temporal consistency check trajectory-based approach |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2021.3121816 |
| 通讯作者 | Yang, Jianyu(ycjyyang@cau.edu.cn) |
| 英文摘要 | Agricultural land abandonment and retirement are important and lead to different types of land use and cover change. Generally, abandonment and retirement are caused by different social and environmental factors and result in different ecological and economic benefits and costs. Faced with the complexity of agricultural land change over time, this study aims to develop a new framework to distinguish between agricultural land abandonment and retirement and detect the extent and exact year of abandonment and retirement using Google Earth Engine (GEE). We tested our approach for three typical regions in the northern China crop-pasture band, where agricultural land abandonment and retirement are widespread. First, based on the spectral features obtained from Landsat images, annual land-cover maps were obtained with sample migration and random forest from 1998 to 2019 (0.87 overall accuracy). Second, a temporal consistency check method was proposed to further improve the classification performance (0.92 overall accuracy). Third, a trajectory-based change detection approach was developed to identify abandonment and retirement (F1 score for abandonment: 0.74, retirement: 0.83). Our results indicate that the spatiotemporal patterns of abandonment and retirement in the study area greatly differed. Overlapping of the topography and climate data showed that agricultural land with steep slopes (>10 degrees) was more likely to be retired and that abandonment was more likely to occur in areas with less precipitation. Overall, the methods used herein are robust for agricultural land abandonment and retirement monitoring and may be extended to other land-cover change studies. |
| WOS关键词 | RE-VEGETATION ; RANDOM FOREST ; FARMLAND ABANDONMENT ; ENVIRONMENTAL-CHANGE ; COVER ; POLICY ; CONSERVATION ; ECOLOGY ; AFFORESTATION ; RECULTIVATION |
| 资助项目 | Ministry of Land and Resources Industry Public Welfare Projects[201511010-06] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000753505900008 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Ministry of Land and Resources Industry Public Welfare Projects |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170560]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Jianyu |
| 作者单位 | 1.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China 2.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Zhenrong,Yang, Jianyu,Ou, Cong,et al. Agricultural Land Abandonment and Retirement Mapping in the Northern China Crop-Pasture Band Using Temporal Consistency Check and Trajectory-Based Change Detection Approach[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:12. |
| APA | Du, Zhenrong,Yang, Jianyu,Ou, Cong,&Zhang, Tingting.(2022).Agricultural Land Abandonment and Retirement Mapping in the Northern China Crop-Pasture Band Using Temporal Consistency Check and Trajectory-Based Change Detection Approach.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,12. |
| MLA | Du, Zhenrong,et al."Agricultural Land Abandonment and Retirement Mapping in the Northern China Crop-Pasture Band Using Temporal Consistency Check and Trajectory-Based Change Detection Approach".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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