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Remote Sensing of Natural and Man-Made Disaster

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 5924

Special Issue Editors


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Guest Editor
Department of Environmental Engineering, São Paulo State University (Unesp), Sao Jose dos Campos, Brazil
Interests: remote sensing; water resources management; environmental modeling; water pollution; spatial data analysis; field spectroscopy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
National Institute of Education (NIE) and Asian School of the Environment (ASE), Nanyang Technological University, Singapore
Interests: fluvial geomorphology; hydrology; human impacts and remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

An environmentally damaging phenomenon occurring in populated areas, causing losses and destruction, is called a disaster. Although individual disasters occur in different spatiotemporal scales and have different velocities and magnitudes of impact, they can usually be classified as natural or human-made disasters. Natural disasters are catastrophic events caused by natural phenomena that result in serious damages to society such as flooding, volcanic eruptions, or earthquakes. Human-made disasters are destructive events triggered by human activities such as oil spills, dam collapses, or other structural failures. These disasters often contain both natural and human-made components which act over different scales.

Remote sensing has been widely utilized in different phases of disaster assessment in general, including monitoring, post-disaster analysis, prevention, and preparedness. Accurate and timely information is critical in disaster management, and the global-scale historical remote sensing archive and rapid advances in remote sensing technology have provided finer spatiotemporal resolution sensing together with increased sensitivity of sensors and efficient image processing capacities. Therefore, there is now a consensus that remote sensing technology is positioned as a critical tool in the assessment of various disasters. Some common examples may include high-temporal-resolution remote sensing employed to detect flash floods or wildfires, which usually need immediate response over large-scale areas. Some recent studies have demonstrated the applicability of InSAR in assessing the dam stability at a cm-scale to address the cause of failure.

This Special Issue on “Remote Sensing of Natural and Man-Made Disasters” is dedicated to contributing to this fast-growing current trend of remote sensing applications in the study of various types of disasters around the world. We invite studies on recent advances in the study of disasters solidly based on any types of sensors (active or passive) and platforms of remote sensing from multidisciplinary points of view, including monitoring system development, disaster management, or engineering geology, as well as review articles synthesizing the history and development of remote sensing with a focus on any types of natural or human-made disasters.

Dr. Enner Alcântara
Dr. Edward Park
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

  • natural disasters
  • hazards
  • human impacts
  • environmental vulnerability

Published Papers (2 papers)

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Research

27 pages, 39667 KiB  
Article
Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR
by Xiaojun Su, Yi Zhang, Xingmin Meng, Mohib Ur Rehman, Zainab Khalid and Dongxia Yue
Remote Sens. 2022, 14(19), 4907; https://0-doi-org.brum.beds.ac.uk/10.3390/rs14194907 - 30 Sep 2022
Cited by 17 | Viewed by 2844
Abstract
The Hunza Valley, in the northwestern Karakoram Mountains, North Pakistan, is a typical region with many towns and villages, and a dense population and is prone to landslides. The present study completed landslide identification, updating a comprehensive landslide inventory and analysis. First, the [...] Read more.
The Hunza Valley, in the northwestern Karakoram Mountains, North Pakistan, is a typical region with many towns and villages, and a dense population and is prone to landslides. The present study completed landslide identification, updating a comprehensive landslide inventory and analysis. First, the ground surface deformation was detected in the Hunza Valley by SBAS-InSAR from ascending and descending datasets, respectively. Then, the locations and boundaries were interpreted and delineated, and a comprehensive inventory of 118 landslides, including the 53 most recent InSAR identified active landslides and 65 landslides cited from the literature, was completed. This study firstly named all 118 landslides, considering the demand for globally intensive research and hazard mitigation. Finally, the deformation, spatial–topographic development, and distribution characteristics in the Hunza Valley scale and three large significant landslides were analyzed. Information on 72 reported landslides was used to construct an empirical power law relationship linking landslide area (AL) to volume (VL) (VL = 0.067 × AL1.351), and this formula predicted the volume of 118 landslides in this study. We discovered that the landslides from the literature, which were interpreted from optical images, had lower levels of velocity, area, elevation, and height. The SBAS-InSAR-detected active landslide was characterized by higher velocity, larger area, higher elevation, larger slope gradient, larger NDVI (normalized difference vegetation index), and greater height. The melting glacier water and rainfall infiltration from cracks on the landslide’s upper part may promote the action of a push from gravity on the upper part. Simultaneously, the coupling of actions from river erosion and active tectonics could have an impact on the stability of the slope toe. The up-to-date comprehensive identification and understanding of the characteristics and mechanism of landslide development in this study provide a reference for the next step in landslide disaster prevention and risk assessment. Full article
(This article belongs to the Special Issue Remote Sensing of Natural and Man-Made Disaster)
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17 pages, 3237 KiB  
Article
Experimental Study on the Thermal Infrared Spectral Variation of Fractured Rock
by Jianwei Huang, Shanjun Liu, Wenfang Liu, Chunju Zhang, Shuiping Li, Min Yu and Lixin Wu
Remote Sens. 2021, 13(6), 1191; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13061191 - 20 Mar 2021
Cited by 14 | Viewed by 2176
Abstract
Previous studies have shown that thermal infrared radiation (TIR) anomalies occur in the vicinity of fractures that form when a rock is loaded to failure. Different types of fracturing modes correspond to different TIR anomaly trends. However, the spectral features and the mechanisms [...] Read more.
Previous studies have shown that thermal infrared radiation (TIR) anomalies occur in the vicinity of fractures that form when a rock is loaded to failure. Different types of fracturing modes correspond to different TIR anomaly trends. However, the spectral features and the mechanisms responsible for the TIR changes in the fracturing stage remain poorly understood. In this paper, experiments involving observations of the thermal infrared spectrum (8.0–13.0 μm) of loaded sandstone during the fracturing stage were conducted under outdoor conditions. The experiment yielded the following results: (1) Different fracturing modes can lead to different trends in the spectral radiance variation; (2) when an extensional fissure appeared on the rock surface, the radiance increased with a local peak in the 8.0–9.7 μm range; (3) when local bulging formed at the surface, the radiance decreased, with a local valley in the 8.0–9.7 μm range. The radiance variation caused by morphologic changes is the combined result of changes in both the temperature and the emissivity. The characteristic waveband corresponding to the reststrahlen features (RF) of quartz was mainly related to the emissivity change. This study provides a preliminary experimental foundation for the detection of crustal surface fractures via satellite-based remote sensing technology. Full article
(This article belongs to the Special Issue Remote Sensing of Natural and Man-Made Disaster)
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