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Awareness of Natural Hazards in the Context of Climate Change Using Remote Sensing Techniques

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 1513

Special Issue Editors


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Guest Editor

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Guest Editor
Escuela Superior y Técnica de Ingenieros de Minas, University of León, 24401 Ponferrada, Spain
Interests: remote sensing data processing; spatial analysis; development of data processing algorithms; free software; land cover/use classification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are witnessing a rise in concerns at an international level about the increase in the frequency and severity of natural disasters, many of them as a consequence of climate change, evidencing the different dimensions in which a disaster can affect people’s well-being.

Since the last decade of the 20th century, the challenge of reducing disaster risk has been addressed through a change in focus: moving from a view linked to the unpredictability and inescapability of their occurrence to considering them as a problem linked to the processes of the development of regions, territorial dynamics, the success of land-use planning instruments, and climate change. Thus, among the main causes of the occurrence of a catastrophe is the inadequate way of implementing disaster risk management in the territory, as well as the lack of awareness and responsibility on the subject on the part of political decision-makers and the community. This risk management involves, among other aspects, the reduction of risk in the face of the occurrence of disasters.

These issues were debated during the third United Nations World Conference held in Sendai, Japan, on 18 March 2015 (Sendai Framework for Disaster Risk Reduction 2015 - 2030). The Sendai Framework can be considered the first milestone that leads to a paradigm shift: prevention and risk management are prioritized instead of crisis management, with the main purpose of preventing loss of life and the economic effects of material losses. Thus, the Framework urges countries, before 2030, to deploy national and local strategies where their main objectives should be 1) to improve the resilience of communities, 2) to increase scientific knowledge and early warning, and 3) to increase the preparedness of the population before disasters. Thus, prevention and governance are the main pillars on which efforts to deal with natural disasters must be based.

This Special Issue aims to include studies particularly relevant which help to assess how the human interventions on the territory (implementation of infrastructures, land-use and land-cover changes, legal or illegal human settlements, underground mining, …) could lead to risk situations in relation to the occurrence of natural hazards, with the main purposes of improving the community resilience and preventing the loss of human lives and material goods. Topics may cover anything from the prior or posteriori evaluation of the impact of the implementation of infrastructures in environments prone to the occurrence of landslide events to the development or improvement of tools/approaches to assess landslide susceptibility and hazard. In addition, multisource data integration (e.g., multispectral, hyperspectral, 3D point clouds, or SAR imagery taken by space, airborne, drone, or terrestrial platforms) or multiscale approaches are welcome.

Articles may address, but are not limited, to the following topics:

  • Mass movement detection and mapping;
  • Landslide susceptibility mapping;
  • Landslide hazard and risk assessments;
  • Slope failure monitoring and multi-temporal analysis;
  • Development/improvement of tools/approaches;
  • Climate change effects on the occurrence of landslides;
  • Early warning;
  • Community resilience.

Prof. Dr. Diego Di Martire
Prof. Dr. Sandra Buján
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
  • SAR imagery analysis
  • 3D point clouds processing
  • earth observation imagery
  • landslide
  • slope failure
  • mass movement
  • volunteered geographic information
  • geographical information system

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Published Papers (1 paper)

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Research

18 pages, 17014 KiB  
Article
Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia
by Ling Wen, Mei Yong, Yulong Bao, Rong Fu and Eerdemutu Jin
Remote Sens. 2023, 15(24), 5629; https://doi.org/10.3390/rs15245629 - 5 Dec 2023
Viewed by 1169
Abstract
Grassland fires and dust weather in Mongolia can trigger major cascading disasters. Grassland fires from autumn to the following spring can indirectly affect dust weather occurrence in the spring by affecting land surface vegetation cover. In this paper, we selected the aimag (province) [...] Read more.
Grassland fires and dust weather in Mongolia can trigger major cascading disasters. Grassland fires from autumn to the following spring can indirectly affect dust weather occurrence in the spring by affecting land surface vegetation cover. In this paper, we selected the aimag (province) of Dornod, Mongolia, a typical temperate grassland area, as the study area. The study aims to (1) analyze the spatiotemporal patterns of grassland fire and dust weather in the past 22 years, as well as the effect of grassland fire on dust weather and to (2) explore in depth the mechanisms of the effects of grassland fire on dust weather. To achieve these goals, we utilize high-resolution satellite burned-area data and Synop dust data. In general, grassland fire and dust weather occurrence clearly varied spatiotemporally across the study area. Grassland fires are typically more frequent in spring and autumn, and dust weather is mainly concentrated in spring. Cumulative grassland fires (both days and burned area) from autumn to the following spring affected the spring cumulative dust weather days significantly, especially the spring cumulative dust storm days. Analysis of the mechanism of the effect of grassland fire on dust storms showed that abundant summer precipitation resulted in higher vegetation cover and more accumulated fuel from autumn to April of the following spring. Consequently, the cumulative grassland fire days were higher, and the cumulative burned area was larger during the period, leading to a significant increase in cumulative dust storm days in May of the spring. In Mongolia, grassland fires are often caused by human factors. The findings of the present study could facilitate the crafting of measures to prevent and reduce grassland fires and indirectly minimize dust weather frequency to protect the ecological environment and promote sustainable development. Full article
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