Review of Land Use Change Detection-A Method Combining Machine Learning and Bibliometric Analysis
文献类型：期刊论文
| 作者 | Liu, Bo; Song, Wei; Meng, Zhan; Liu, Xinwei |
| 刊名 | LAND
 |
| 出版日期 | 2023-05-11 |
| 卷号 | 12期号:5页码:1050 |
| 关键词 | bibliometric analysis LUCD machine learning web of science topic evolution |
| ISSN号 | 2073-445X |
| DOI | 10.3390/land12051050 |
| 产权排序 | 2 |
| 文献子类 | Review |
| 英文摘要 | Land use change detection (LUCD) is a critical technology with applications in various fields, including forest disturbance, cropland changes, and urban expansion. However, the current review articles on LUCD tend to be limited in scope, rendering a comprehensive review challenging due to the vast number of publications. This paper systematically reviewed 3512 articles retrieved from the Web of Science Core database between 1985 and 2022, utilizing a combination of bibliometric analysis and machine learning methods with LUCD as the main focus. The results indicated an exponential increase in the number of LUCD studies, indicating continued growth in this research field. Commonly used methods include classification-based, threshold-based, model-based, and deep learning-based change detection, with research themes encompassing forest logging and vegetation succession, urban landscape dynamics, and biodiversity conservation and management. To build an intelligent change detection system, researchers need to develop a flexible framework that integrates data preprocessing, feature extraction, land use type interpretation, and accuracy evaluation, given the continuous evolution and application of remote sensing data, deep learning, big data, and artificial intelligence. |
| 学科主题 | Environmental Sciences & Ecology |
| WOS关键词 | COVER CHANGE DETECTION ; URBAN HEAT-ISLAND ; FOREST DISTURBANCE ; CLASSIFICATION ; AREA ; ACCURACY ; SCIENCE ; IMPACT ; IMAGE ; MISREGISTRATION |
| WOS研究方向 | Environmental Sciences & Ecology |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193812]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Academy of Sciences 2.Liaoning Technical University 3.Institute of Geographic Sciences & Natural Resources Research, CAS 4.Ministry of Natural Resources of the People's Republic of China |
| 推荐引用方式 GB/T 7714 | Liu, Bo,Song, Wei,Meng, Zhan,et al. Review of Land Use Change Detection-A Method Combining Machine Learning and Bibliometric Analysis[J]. LAND,2023,12(5):1050. |
| APA | Liu, Bo,Song, Wei,Meng, Zhan,&Liu, Xinwei.(2023).Review of Land Use Change Detection-A Method Combining Machine Learning and Bibliometric Analysis.LAND,12(5),1050. |
| MLA | Liu, Bo,et al."Review of Land Use Change Detection-A Method Combining Machine Learning and Bibliometric Analysis".LAND 12.5(2023):1050. |
入库方式： OAI收割
来源：地理科学与资源研究所
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