A full time series imagery and full cycle monitoring (FTSI-FCM) algorithm for tracking rubber plantation dynamics in the Vietnam from 1986 to 2022
文献类型：期刊论文
| 作者 | Chen, Bangqian5; Dong, Jinwei4; Hien, Tran Thi Thu3; Yun, Tin2; Kou, Weili1; Wu, Zhixiang5; Yang, Chuan5; Wang, Guizhen5; Lai, Hongyan5; Liu, Ruijin5 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 220页码:377-394 |
| 关键词 | Rubber plantations Landsat/Sentinel-2 Phenological features Establishment year Vietnam |
| ISSN号 | 0924-2716 |
| DOI | 10.1016/j.isprsjprs.2024.12.018 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Accurate mapping of rubber plantations in Southeast Asia is critical for sustainable plantation management and ecological and environmental impact assessment. Despite extensive research on rubber plantation mapping, studies have largely been confined to provincial scales, with the few country-scale assessments showing significant disagreement in both spatial distribution and area estimates. These discrepancies primarily stem from persistent cloud cover in tropical regions and limited temporal resolution of datasets that inadequately capture the full phenological cycles of rubber trees. To address these issues, we propose the Full Time Series Satellite Imagery and Full-Cycle Monitoring (FTSI-FCM) algorithm for mapping spatial distribution and establishment year of rubber plantations in Vietnam, a country experienced significant rubber expansion over the past decades. The FTSI-FCM algorithm initially employs the LandTrendr approach-an established forest disturbance detection algorithm-to identify the land use changes during the plantation establishment phase. We enhance this process through a spatiotemporal correction scheme to accurately determine the establishment years and maturity phases of the plantations. Subsequently, the algorithm identifies rubber plantations through a random forest algorithm by integrating features from three temporal phases: canopy transitions from rubber seedlings to mature plantations, phenological changes during mature stages, and phenological-spectral characteristic during the mapping year. This approach leverages an extensive time series of Landsat images dating back to the late 1980s, complemented by Sentinel-2 images since 2015. For the mapping year, these data are further enhanced by the inclusion of PALSAR-2 L-band Synthetic-Aperture Radar (SAR) and very high-resolution Planet optical imagery. When applied in Vietnam-a leading rubber producer with complex cultivation conditions- the FTSIFCM algorithm yielded highly reliable maps of rubber distribution (Overall Accuracy, OA = 93.75%, F1score = 0.93) and establishment years (R2 = 0.99, RMSE = 0.25 years) for 2022 (referred to as FTSI-FCM_2022). These results outperformed previous mappings, such as WangR_2021 (OA = 75.00%, F1-score = 0.71), in both spatial distribution and area estimates. The FTSI-FCM_2022 map revealed a total rubber plantation area of 754,482 ha, closely matching reported statistics of 727,900 ha and showing strong correlation provincial statistics (R2 = 0.99). Spatial analysis indicated that over 90% of rubber plantations are located within 15 degrees N latitude, below 600 m in elevation, on slopes under 15 degrees, and were established after 2000. Notably, there has been no significant expansion of rubber plantations into higher elevations or steeper slopes since 1990s, suggesting the effectiveness of sustainable rubber cultivation management practices in Vietnam. The FTSI-FCM algorithm demonstrates substantial potential for mapping rubber plantations in major producing areas such as Southeast Asia, thereby supporting sustainable development decision-making in the natural rubber industry. |
| URL标识 | 查看原文 |
| WOS关键词 | MAPPING TROPICAL FORESTS ; HAINAN ISLAND ; INTEGRATING PALSAR ; TREE GROWTH ; LANDSAT TM ; EXPANSION ; CHINA ; INDEX ; PIXEL ; OLI |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001413342800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212359]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Chen, Bangqian |
| 作者单位 | 1.Southwest Forestry Univ, Coll Big Data & Intelligence Engn, Kunming 650224, Peoples R China 2.Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China; 3.Vietnam Acad Agr Sci, Agr Sci Inst Northern Cent Vietnam, Vinh 44000, Nghe An, Vietnam; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 5.Chinese Acad Trop Agr Sci CATAS, Rubber Res Inst RRI, State Key Lab Incubat Base Cultivat & Physiol Trop, Hainan Danzhou Agroecosystem Natl Observat & Res S, Haikou 571101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Bangqian,Dong, Jinwei,Hien, Tran Thi Thu,et al. A full time series imagery and full cycle monitoring (FTSI-FCM) algorithm for tracking rubber plantation dynamics in the Vietnam from 1986 to 2022[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2025,220:377-394. |
| APA | Chen, Bangqian.,Dong, Jinwei.,Hien, Tran Thi Thu.,Yun, Tin.,Kou, Weili.,...&An, Feng.(2025).A full time series imagery and full cycle monitoring (FTSI-FCM) algorithm for tracking rubber plantation dynamics in the Vietnam from 1986 to 2022.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,220,377-394. |
| MLA | Chen, Bangqian,et al."A full time series imagery and full cycle monitoring (FTSI-FCM) algorithm for tracking rubber plantation dynamics in the Vietnam from 1986 to 2022".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 220(2025):377-394. |
入库方式： OAI收割
来源：地理科学与资源研究所
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