| Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables | |
| Yang, Jianbo2,3; Liu, Detuan4; Li, Qian2; Wanasinghe, Dhanushka N.; Zhai, Deli5; Zhao, Gaojuan5; Xu, Jianchu1,6 | |
| 2024 | |
| Source Publication | REMOTE SENSING
 |
| ISSN | 2072-4292 |
| Volume | 16Issue:19Pages:- |
| Abstract | Human activities have both positive and negative impacts on forests, altering the extent and composition of various forest vegetation types, and increasing uncertainty in ecological management. A detailed understanding of the historical distribution of forest vegetation is crucial for local conservation efforts. In this study, we integrated phenological features with climatic and terrain variables to enhance the mapping accuracy of forest vegetation in Yunnan. We mapped the historical distributions of five forest vegetation type groups and nine specific forest vegetation types for 2001, 2010, and 2020. Our findings revealed that: (1) rubber plantations can be effectively distinguished from other forest vegetation using phenological features, coniferous forests and broad-leaved forests can be differentiated using visible spectral bands, and environmental variables (temperature, precipitation, and elevation) are effective in differentiating forest vegetation types under varying climate conditions; (2) the overall accuracy and kappa coefficient increased by 14.845% and 20.432%, respectively, when climatic variables were combined with phenological features, and by 13.613% and 18.902%, respectively, when elevation was combined with phenological features, compared to using phenological features alone; (3) forest cover in Yunnan increased by 2.069 x 104 km2 (10.369%) between 2001 and 2020. This study highlights the critical role of environmental variables in improving the mapping accuracy of forest vegetation in mountainous regions. |
| Keyword | forest vegetation phenological feature environmental variables vegetation indices Google Earth Engine |
| Subject Area | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| DOI | 10.3390/rs16193687 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:001332784300001 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.xtbg.ac.cn/handle/353005/14439 |
| Collection | 2012年后新成立研究组 |
| Affiliation | 1.Chinese Acad Sci, Kunming Inst Bot, Ctr Mt Futures, Kunming 650201, Peoples R China 2.Chinese Acad Sci, Kunming Inst Bot, Dept Econ Plants & Biotechnol, Yunnan Key Lab Wild Plant Resources, Kunming 650201, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Yunnan Key Lab Conservat Trop Rainforests & Asian, Mengla 666303, Peoples R China 5.Chinese Acad Sci, Kunming Inst Bot, Yunnan Key Lab Integrat Conservat Plant Species Ex, Kunming 650201, Peoples R China 6.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Mengla 666303, Peoples R China 7.World Agroforestry ICRAF, CIFOR ICRAF China Program, Kunming 650201, Peoples R China |
| Recommended Citation GB/T 7714 | Yang, Jianbo,Liu, Detuan,Li, Qian,et al. Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables[J]. REMOTE SENSING,2024,16(19):-. |
| APA | Yang, Jianbo.,Liu, Detuan.,Li, Qian.,Wanasinghe, Dhanushka N..,Zhai, Deli.,...&Xu, Jianchu.(2024).Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables.REMOTE SENSING,16(19),-. |
| MLA | Yang, Jianbo,et al."Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables".REMOTE SENSING 16.19(2024):-. |
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| Enhancing Accuracy i（5131KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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