A meta-review of remote sensing for rubber plantations
文献类型：期刊论文
| 作者 | Yue, Zilong1,2; Xiao, Chiwei1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2025-07-01 |
| 卷号 | 141页码:104625 |
| 关键词 | Rubber Plantations Remote Sensing Mapping Tropics Meta-review |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2025.104625 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The rapid expansion of rubber plantations has led to significant ecological impacts, including deforestation and reduced carbon storage capacity, such as rubber-induced 4.1 million ha of forest loss in Southeast Asia (SEA). Remote sensing, essential for monitoring rubber expansion and supporting initiatives like REDD+ and EU deforestation regulations. However, due to the heterogeneity, dynamism, and complexity of rubber plantations, developing universal mapping algorithms remains challenging, and there is a lack of all-around reviews on remote sensing research specific to rubber plantations. Our meta-review systematically analyzes 305 peerreviewed papers (2000-2024), synthesizing advancements in remote sensing techniques. The findings show that research is primarily focused on SEA (82 %), while regions like Africa and South America are underexplored. Optical data remains dominant (68 %), but the use of SAR has tripled, achieving up to 89 % accuracy when combined with phenological features. Additionally, deep learning improved classification accuracy by 15-20 %, especially in detecting young plantations under six years old. However, discrepancies and gaps in global plantation maps persist due to inconsistent validation methods and resolution limitations (>30 m). Our review highlights the need for standardized global datasets and provides insights into future research directions, including improved feature selection, algorithm transferability, and better integration of multi-source data to support sustainable plantation management and accurate carbon accounting. |
| URL标识 | 查看原文 |
| WOS关键词 | HEVEA-BRASILIENSIS PLANTATIONS ; LANDSAT TIME-SERIES ; MAPPING TROPICAL FORESTS ; MAINLAND SOUTHEAST-ASIA ; TREE GROWTH ; ECOSYSTEM SERVICES ; INTEGRATING PALSAR ; STAND AGE ; OIL PALM ; XISHUANGBANNA |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001502722700003 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214666]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Xiao, Chiwei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yue, Zilong,Xiao, Chiwei. A meta-review of remote sensing for rubber plantations[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,141:104625. |
| APA | Yue, Zilong,&Xiao, Chiwei.(2025).A meta-review of remote sensing for rubber plantations.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,141,104625. |
| MLA | Yue, Zilong,et al."A meta-review of remote sensing for rubber plantations".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 141(2025):104625. |
入库方式： OAI收割
来源：地理科学与资源研究所
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