Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.2
2.7
Journals
Geosciences
Special Issues
Recent Advances in Remote Sensing Techniques for Natural Hazard Analysis
share announcement

Recent Advances in Remote Sensing Techniques for Natural Hazard Analysis

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".

Deadline for manuscript submissions: closed (20 October 2020) | Viewed by 9763

Special Issue Editor

Dr. Keith B. Delaney

E-Mail Website1 Website2
Guest Editor
University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: GIS; remote sensing; natural hazards; landslides; InSAR

Special Issue Information

Dear Colleagues,

Recent disasters around the world have once again put a focus on Natural Hazards and how society and communities, both prepare and react to catastrophe. Media attention often focused on death and losses highlight the need for a greater understanding of these processes as well as their local and global impacts. The use of Remote Sensing platforms, techniques, and datasets has revolutionized the modern Natural Hazards research field and is being recognized as a vital tool for the discipline.

Advancements in the use of Remote Sensing techniques in all Geoscience disciplines are happening at an accelerated pace every year. New technology, software, processing, and analyses, are being introduced and embraced by our discipline at a rapid speed. As urban sprawl and population growth continues in both developed and developing countries, more people worldwide are becoming exposed to higher levels of hazard and risk, including but not limited to: ground deformation and earthquakes, mass movements, tsunami inundation, volcanic flows, hurricanes, and flooding. This special issue will highlight some of the larger and most interesting advancements in Remote Sensing technology and analysis, with a focus on how these new concepts are impacting research in both Geosciences and Natural Hazards.

There have been a number of new satellites and constellation systems recording large volumes of new types of geo-spatial data, with new sensors, at higher resolutions, and better temporal return periods than at any other time in history. Our aim in this special issue is to bring these new ideas, datasets, and concepts to the forefront of Geoscience and Natural Hazard research, taking advantage of new technology, providing accurate and analytical remote sensing techniques on natural hazards around the world.

This special issue of Geosciences is designed to showcase the latest developments in the connections between geological and environmental sciences, hazard and risk, and new innovative remote sensing techniques, with a specific focus on the advancement of understanding of large scale natural disasters. We invite contributions addressing any of the following:

  • New or revised analytical methods of processing remote sensing data for advancement of natural hazard research
    • e.g. earthquake, mass movement, surface deformation, flooding, atmospheric, volcanic, and tsunami hazards
  • Use of new or revised satellite or constellation datasets in natural hazards
    • e.g. optical and/or SAR
  • Hazard and/or risk assessment using advanced remote sensing techniques in regional or global settings
  • Impact of climate change on natural hazards using advanced remote sensing techniques in regional or global settings

We are most interested in natural hazard studies which involve the quantification of topography (e.g. surface deformation from earthquake or other subsidence, or mass movements), mapping of damage from natural disasters (e.g. economic or infrastructure loss, deaths), and oceanic and atmospheric research (e.g. tsunami inundation and detection, hurricane formation and track, tornado detection and track). We also invite submissions that use remote sensing data and techniques to study the impact of geospatial risk, and how it propagates over time, within a specific region. All scales of spatial and temporal studies are acceptable, however, focus will be on higher resolution studies relying on very recently acquired data or on a compilation of archived and new data acquired from any of the standard or new remote sensing platforms (optical and/or SAR): satellite, air/drone, or terrestrial systems.

Dr. Keith B. Delaney
Guest Editor

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. Geosciences is an international peer-reviewed open access monthly 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 1800 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 Hazards
  • Remote Sensing
  • InSAR
  • Geo-spatial Analysis
  • Earth Observation
  • Risk

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

15 pages, 7161 KiB  
Article
InSAR Time-Series Analysis for Monitoring Ground Displacement Trends in the Western Hellenic Arc: The Kythira Island, Greece
by Stavroula Alatza, Ioannis Papoutsis, Demitris Paradissis, Charalampos Kontoes, Gerassimos A. Papadopoulos and Costas Raptakis
Geosciences 2020, 10(8), 293; https://doi.org/10.3390/geosciences10080293 - 31 Jul 2020
Cited by 9 | Viewed by 3308
Abstract
Kythira Island is situated at the western Hellenic Arc, which is a region of very high seismicity and tectonic activity. On 8 January 2006, a large seismic event of Mw = 6.7 occurred close to Kythira, in association with the Hellenic subduction [...] Read more.
Kythira Island is situated at the western Hellenic Arc, which is a region of very high seismicity and tectonic activity. On 8 January 2006, a large seismic event of Mw = 6.7 occurred close to Kythira, in association with the Hellenic subduction zone. We present an extensive multi-temporal interferometry study of ground displacements in Kythira Island exploiting SAR data of a decade, from 2003 to 2009, and from 2015 to 2019. The line-of-sight displacement field for the 2003–2009 time period presents small-scale displacements that do not exceed −3 mm/y, identified to the East of Kythira’s airport, and 3 mm/y in the central part of the island. We exploit then Sentinel-1 data from 2015 to 2019, of both descending and ascending Sentinel-1 SAR imaging modes to decompose the line-of-sight measured deformation to vertical and east–west motion components. Higher vertical displacement rates characterize the central part of the island, with a maximum value of 5 mm/y. This short-term uplift rate exceeds by an order of magnitude the long-term geologic uplift rate of ~0.13 mm/y found in the island during the Quaternary. We discuss possible regional geophysical explanations for this discrepancy. Strike-slip components are detected in the N–E coast of the Potamos village, where horizontal displacements occur, with an east-ward trend and a maximum value of −3 mm/y. These insights are valuable input for the systematic monitoring of this high seismic risk island and the dynamic assessment of its hazard potential. Full article
(This article belongs to the Special Issue Recent Advances in Remote Sensing Techniques for Natural Hazard Analysis)
►▼ Show Figures

Figure 1

18 pages, 6507 KiB  
Article
Parameterization of a Bayesian Normalized Difference Water Index for Surface Water Detection
by Lorena Liuzzo, Valeria Puleo, Salvatore Nizza and Gabriele Freni
Geosciences 2020, 10(7), 260; https://doi.org/10.3390/geosciences10070260 - 07 Jul 2020
Cited by 5 | Viewed by 2838
Abstract
The normalized difference water index (NDWI) has been extensively used for different purposes, such as delineating and mapping surface water bodies and monitoring floods. However, the assessment of this index (based on multispectral remote sensing data) is highly affected by the effects of [...] Read more.
The normalized difference water index (NDWI) has been extensively used for different purposes, such as delineating and mapping surface water bodies and monitoring floods. However, the assessment of this index (based on multispectral remote sensing data) is highly affected by the effects of atmospheric aerosol scattering and built-up land, especially when green and near infrared bands are used. In this study, a modified version of the NDWI was developed to improve precision and reliability in the detection of water reservoirs from satellite images. The proposed equation includes eight different parameters. A Bayesian procedure was implemented for the identification of the optimal set of these parameters. The calculation of the index was based on Sentinel-2 satellite images of spectral bands collected over the 2015–2019 period. The modified NDWI was tested for the identification of small reservoirs in a subbasin of the Belice catchment in Sicily (southern Italy). To assess the effectiveness of the index, a reference image, representing the actual reservoirs in the study area, was used. The results suggested that the use of the proposed methodology for the parameterization of the modified NDWI improves the identification of water reservoirs with surfaces smaller than 0.1 ha. Full article
(This article belongs to the Special Issue Recent Advances in Remote Sensing Techniques for Natural Hazard Analysis)
►▼ Show Figures

Figure 1

21 pages, 10368 KiB  
Article
Characteristics of Surface Deformation in Lanzhou with Sentinel-1A TOPS
by Yi He, Wenhui Wang, Haowen Yan, Lifeng Zhang, Youdong Chen and Shuwen Yang
Geosciences 2020, 10(3), 99; https://doi.org/10.3390/geosciences10030099 - 07 Mar 2020
Cited by 20 | Viewed by 3236
Abstract
While surface deformations and their impact on buildings have been observed in the city of Lanzhou, it is difficult to find studies of surface deformation and the influential factors in the recent decades. This study was designed to detect the spatial position of [...] Read more.
While surface deformations and their impact on buildings have been observed in the city of Lanzhou, it is difficult to find studies of surface deformation and the influential factors in the recent decades. This study was designed to detect the spatial position of these surface deformations and to understand the mechanism behind them. Sentinel-1A TOPS model image data acquired in descending orbits between March 2015 and May 2019 were processed by using Small Baseline Subsets Interferometry (SBAS)-Interferometric Synthetic Aperture Radar (InSAR) technology, and then compared with geology, tectonical aspects of the study area and land cover types in Lanzhou. The results reveal that the land surface deformation is uneven in this city, and seven surface deformation regions were detected in the following areas: the north freight yard, Jiuzhou, Country garden, Donggang, Yanjiaping, Zhongxinping and Liuquan town. The land surface deformation rate in Lanzhou ranges from −82.13 mm/year to 19.31 mm/year. Time-series land surface deformation analysis showed that deformation increased over time in major deformation regions. Surface deformation expansion was significant after June 2017and it continued to expand. The surface deformation of Lanzhou is affected by natural factors (geology and geological faults) and human activities (land cover types/land cover changes). Local geological conditions control the location of the surface deformation process. These findings provide compelling data and theoretical support for disaster prevention and reduction in Lanzhou. Full article
(This article belongs to the Special Issue Recent Advances in Remote Sensing Techniques for Natural Hazard Analysis)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop