Climate Change Data Portal
| DOI | 10.1007/s12524-024-01832-2 |
| Mapping of Debris-Covered Glaciers Using Object-Based Machine Learning Technique | |
| 发表日期 | 2024 |
| ISSN | 0255-660X |
| EISSN | 0974-3006 |
| 起始页码 | 52 |
| 结束页码 | 2 |
| 卷号 | 52期号:2 |
| 英文摘要 | Debris-covered glaciers in High Mountain Asia are important indicators of climatic variability. The present study proposed an improved glacier mapping technique based on a TIRS/(RED/SWIR) band ratio that integrates thermal infrared (TIR), visible red, and shortwave infrared (SWIR) reflectance information with slope parameter to map debris-covered areas. The object-based machine learning technique comprising a hybrid feature selection model and a decision tree classifier was adopted to classify the glacierized region. The mapping results stated that the proposed band ratio combined with the slope parameter has better differentiated supraglacial debris from other glacier surfaces in comparison with the existing debris-covered glacier mapping approaches. The resulted debris-covered glacier boundaries were also validated with reference glacier inventories. The supraglacial debris-covered area was mapped with a high user's accuracy of approximate to 98%. In addition, a high overall classification accuracy in the range of 99.59-99.84% was achieved with the proposed technique that overcomes the challenges of the previous noteworthy studies, confirming that this technique is effective in detecting debris-covered glaciers. |
| 英文关键词 | Band ratio technique; Debris-covered glacier; Machine learning; Object-based classification |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
| WOS类目 | Environmental Sciences ; Remote Sensing |
| WOS记录号 | WOS:001167696800001 |
| 来源期刊 | JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/293651 |
| 作者单位 | I. K. Gujral Punjab Technical University |
| 推荐引用方式 GB/T 7714 | . Mapping of Debris-Covered Glaciers Using Object-Based Machine Learning Technique[J],2024,52(2). |
| APA | (2024).Mapping of Debris-Covered Glaciers Using Object-Based Machine Learning Technique.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,52(2). |
| MLA | "Mapping of Debris-Covered Glaciers Using Object-Based Machine Learning Technique".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 52.2(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
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。
