Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes
Mountains play a crucial role in providing essential ecosystem services, including biodiversity conservation, regional climate regulation, and water resource preservation. Accurate and continuous monitoring of mountain surface processes is therefore vital for assessing environmental change and mitig...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/11031222/ |
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| _version_ | 1850099640862507008 |
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| author | Li Peng Wei Zhao Gaofei Yin Kai Yan Tianjun Wu |
| author_facet | Li Peng Wei Zhao Gaofei Yin Kai Yan Tianjun Wu |
| author_sort | Li Peng |
| collection | DOAJ |
| description | Mountains play a crucial role in providing essential ecosystem services, including biodiversity conservation, regional climate regulation, and water resource preservation. Accurate and continuous monitoring of mountain surface processes is therefore vital for assessing environmental change and mitigating natural hazards. Remote sensing has emerged as a powerful tool for mountain research, yet the inherent complexity of these processes demands increasingly higher spatio-temporal resolution in observations. Against this backdrop, we launched the special issue “Advances in Remote Sensing of Mountain Surface Processes”. This initiative aims to systematically showcase cuttingedge research findings and innovative technologies from the global remote sensing community, specifically tailored to the complex terrain of mountainous environments. The special issue collects 13 articles and highlights a multidimensional exploration of mountain surface processes. The featured manuscripts cover a wide range of topics, spanning multi-source data fusion, methodological innovations, and diverse applications across various fields. This Editorial Foreword provides a comprehensive summary of theoretical advancements, methodological innovations, validation techniques, and practical applications of remote sensing in studying mountain surface processes. It also offers a thorough discussion of the challenges and future opportunities within this dynamic field. |
| format | Article |
| id | doaj-art-a62228bcb5f343e7a9af492ddff55a9f |
| institution | DOAJ |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-a62228bcb5f343e7a9af492ddff55a9f2025-08-20T02:40:27ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118144951450010.1109/JSTARS.2025.357613811031222Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface ProcessesLi Peng0https://orcid.org/0000-0003-0016-2977Wei Zhao1https://orcid.org/0000-0002-4839-6791Gaofei Yin2https://orcid.org/0000-0002-9828-7139Kai Yan3https://orcid.org/0000-0003-4262-1772Tianjun Wu4https://orcid.org/0000-0003-0178-2342College of Geography and Resources, Sichuan Normal University, Chengdu, ChinaInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, ChinaSchool of Land Science and Techniques, China University of Geosciences, Beijing, ChinaSchool of Sciences, Chang’an University, Xi’an, ChinaMountains play a crucial role in providing essential ecosystem services, including biodiversity conservation, regional climate regulation, and water resource preservation. Accurate and continuous monitoring of mountain surface processes is therefore vital for assessing environmental change and mitigating natural hazards. Remote sensing has emerged as a powerful tool for mountain research, yet the inherent complexity of these processes demands increasingly higher spatio-temporal resolution in observations. Against this backdrop, we launched the special issue “Advances in Remote Sensing of Mountain Surface Processes”. This initiative aims to systematically showcase cuttingedge research findings and innovative technologies from the global remote sensing community, specifically tailored to the complex terrain of mountainous environments. The special issue collects 13 articles and highlights a multidimensional exploration of mountain surface processes. The featured manuscripts cover a wide range of topics, spanning multi-source data fusion, methodological innovations, and diverse applications across various fields. This Editorial Foreword provides a comprehensive summary of theoretical advancements, methodological innovations, validation techniques, and practical applications of remote sensing in studying mountain surface processes. It also offers a thorough discussion of the challenges and future opportunities within this dynamic field.https://ieeexplore.ieee.org/document/11031222/Deep learninglandslidemountain surface processremote sensingtopographic effect |
| spellingShingle | Li Peng Wei Zhao Gaofei Yin Kai Yan Tianjun Wu Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Deep learning landslide mountain surface process remote sensing topographic effect |
| title | Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes |
| title_full | Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes |
| title_fullStr | Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes |
| title_full_unstemmed | Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes |
| title_short | Editorial Foreword to the Special Issue on Advances in Remote Sensing of Mountain Surface Processes |
| title_sort | editorial foreword to the special issue on advances in remote sensing of mountain surface processes |
| topic | Deep learning landslide mountain surface process remote sensing topographic effect |
| url | https://ieeexplore.ieee.org/document/11031222/ |
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