Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images
文献类型：期刊论文
| 作者 | Wei, Bo4,5; Zhang, Yili1,4,5; Liu, Linshan4,5; Zhang, Binghua4,5; Gong, Dianqing4,5; Gu, Changjun3; Li, Lanhui2; Paudel, Basanta4,5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 17期号:1页码:78 |
| 关键词 | Himalayas vegetation line edge detection elevation difference |
| DOI | 10.3390/rs17010078 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Climate change has caused substantial shifts in species' ranges and vegetation distributions in local areas of the Himalayas. However, the spatial patterns and dynamic changes of the vegetation lines in the Himalayas remain poorly understood due to the lack of comprehensive vegetation line dataset. This study developed a method to identify vegetation lines by combining the Canny edge detection algorithm with elevation parameters and produced comprehensive vegetation line datasets with 30 m resolution in the Himalayas. First, the Modified Soil-Adjusted Vegetation Index (MSAVI) was applied to indicate vegetation presence. The image was then smoothed by filling (or removing) small non-vegetated (or vegetated) patches scattered within vegetated (or unvegetated) areas. Subsequently, the Canny edge detection algorithm was applied to identify vegetation edge pixels, and elevation differences were utilized to determine the upper edges of the vegetation. Finally, Gaussian function-based thresholds were used across 24 sub-basins to determine the vegetation lines. Field surveys and visual interpretations demonstrated that this method can effectively and accurately identify vegetation lines in the Himalayas. The R2 was 0.99, 0.93, and 0.98, respectively, compared with the vegetation line verification points obtained through three different ways. The mean absolute errors were 11.07 m, 29.35 m, and 13.99 m, respectively. Across the Himalayas, vegetation line elevations ranged from 4125 m to 5423 m (5th to 95th percentile), showing a trend of increasing and then decreasing from southeast to northwest. This pattern closely parallels the physics-driven snowline. The method proposed in this study enhances the toolkit for identifying vegetation lines across mountainous regions. Additionally, it provides a foundation for evaluating the responses of mountain vegetation to climate change in the Himalayas. |
| URL标识 | 查看原文 |
| WOS关键词 | REFLECTANCE ; INDEXES ; TIME |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001393803500001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211367]  |
| 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 | Liu, Linshan |
| 作者单位 | 1.State Key Lab Tibetan Plateau Earth Syst Resources, Beijing 100101, Peoples R China; 2.Xiamen Univ Technol, Sch Comp & Informat Engn, Xiamen 361024, Peoples R China 3.Minist Emergency Management, Natl Disaster Reduct Ctr, Beijing 100124, Peoples R China; 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wei, Bo,Zhang, Yili,Liu, Linshan,et al. Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images[J]. REMOTE SENSING,2025,17(1):78. |
| APA | Wei, Bo.,Zhang, Yili.,Liu, Linshan.,Zhang, Binghua.,Gong, Dianqing.,...&Paudel, Basanta.(2025).Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images.REMOTE SENSING,17(1),78. |
| MLA | Wei, Bo,et al."Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images".REMOTE SENSING 17.1(2025):78. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。