Remote Sensing in the Development of Rapid Landslide Detection and Mapping Scenarios II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 134
Special Issue Editors
Interests: natural hazards; detection and mapping of landslides; landslide susceptibility modeling; natural disasters; landslide hazard mapping; SAR interpretation for landslide analysis
Special Issues, Collections and Topics in MDPI journals
Interests: landslide hazard; monitoring and modelling of basin scale surface processes; natural hazards; applications of remote sensing to landslide studies; oil & gas environmental impact and risk; surface monitoring in open pit mines; scaling processes in geomorphology; machine learning applied to land surface processes
Special Issues, Collections and Topics in MDPI journals
Interests: rainfall-induced landslides; GIS-based landslide hazard assessment; SAR interferometry applied to landslides and subsidence
Special Issues, Collections and Topics in MDPI journals
Interests: GIS; remote sensing; geomorphology; geoscience; geography
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This is the second edition of the Special Issue, ‘Remote Sensing in the Development of Rapid Landslide Detection and Mapping Scenarios’.
This Special Issue aims to collate research focusing on measures to alleviate the risks associated with landslides by tackling one of the most important components of landslide hazard studies—rapid mapping of landslides—to generate event-based inventories. These inventories are crucial as they are of paramount importance in modeling and assessing the susceptibility and hazard level of landslides, as well as in advancing risk studies.
With recent advancements in remote sensing technologies such as UAVs, high-spatiotemporal resolution satellite images, microwave-based SAR images coupled with the state-of-the-art machine learning tools, mapping landslides and generation of inventories have become rather convenient and easy. Therefore, we cordially invite scholars to submit their valuable papers, both original articles and reviews, highlighting the latest developments in the applications of remote sensing in detecting and mapping rapid landslides.
Dr. Sansar Raj Meena
Prof. Dr. Filippo Catani
Dr. Mario Floris
Dr. Yunus P. Ali
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- landslide inventory mapping
- landslide mapping
- UAV, airborne and space-borne
- landslide modeling
