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Spatial Analysis of Fire Susceptibility, Taking into Account Climatic, Vegetation and Geomorphological Triggering Factors through the Use of Remote Sensing Techniques

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

Deadline for manuscript submissions: 31 August 2024 | Viewed by 3822

Special Issue Editors

Dr. Matteo Gentilucci

E-Mail Website
Guest Editor
School of Science and Technology, University of Camerino, 62032 Camerino, Italy
Interests: climate; climate change; climate modelling by GIS; GIS; geostatistical analyses; agroclimatology; hydrogeological risk; remote sensing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nicola Casagli

E-Mail Website
Guest Editor
Department of Earth Sciences, University of Florence, Via La Pira 4, Florence, Italy
Interests: geological hazards and ground instability; landslide monitoring; remote sensing data interpretation and validation; engineering geological characterization and modelling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gilberto Pambianchi

E-Mail Website
Guest Editor
School of Science and Technology, University of Camerino, 62032 Camerino, Italy
Interests: structural geomorphology and morphotectonics; slope processes and landslide risk; geomorphological and geothematic cartography; geomorphological evolution of catchment areas and floodplains
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global warming is favouring conditions of increasing aridity in much of the world, and this is leading to rather serious repercussions that tend to increase risks, reduce biodiversity and aggravate water scarcity. In this context, it is interesting to consider how human-induced climate change can influence the risk of fires, generating a chain reaction that is difficult to stop. It is, therefore, essential to clarify the fire-triggering conditions for each territory in relation to its ecosystem units. GIS software must play a primary role in spatial analysis aimed at monitoring and mitigating these problems, in order to make these studies not only conceptual but also applicative. Therefore, we cordially invite authors to contribute original research articles and reviews, on these fundamental issues that inevitably deeply affect the territories, both in terms of human lives, but also in terms of biodiversity and economic losses. Through the study of the climate, the vegetation involved and the analysis of satellite indices, this Special Issue aims to map fire susceptibility on a regional scale. In parallel, it would also like to encourage the drafting of warning models that allow the mitigation of risk conditions, through monitoring, based on threshold values. The aim of the research must be to enable rational land management, proposing targeted interventions by mapping the most at-risk areas and creating models that use climatic, vegetation and satellite survey data as input information.

We expect empirical or methodological contributions addressing any scientific aspect related to fire risk analysed with the aid of remote sensing and GIS software:

  • GIS models to assess fire susceptibility.
  • Definition of climatic threshold values or satellite indices for fire risk.
  • Influence of vegetation type on fire outbreak.
  • Differentiated fire risk assessment on the territory, spatializing environmental variables appropriately.
  • Future climate change forecasts and effect on fire risk variation.
  • Remote sensing analysis in order to assess the change in vegetation due to climate change.

Dr. Matteo Gentilucci
Prof. Dr. Nicola Casagli
Prof. Gilberto Pambianchi
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

  • global warming
  • climate change effects monitoring
  • management of the forests
  • fire risk numeric models
  • real-time alert for fires
  • fire risk maps and susceptibility maps
  • assessment of vegetation well-being parameters

Published Papers (1 paper)

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Research

32 pages, 5914 KiB  
Article
Integrated Spatial Analysis of Forest Fire Susceptibility in the Indian Western Himalayas (IWH) Using Remote Sensing and GIS-Based Fuzzy AHP Approach
by Pragya, Manish Kumar, Akash Tiwari, Syed Irtiza Majid, Sourav Bhadwal, Netrananda Sahu, Naresh Kumar Verma, Dinesh Kumar Tripathi and Ram Avtar
Remote Sens. 2023, 15(19), 4701; https://doi.org/10.3390/rs15194701 - 25 Sep 2023
Cited by 4 | Viewed by 3351
Abstract
Forest fires have significant impacts on economies, cultures, and ecologies worldwide. Developing predictive models for forest fire probability is crucial for preventing and managing these fires. Such models contribute to reducing losses and the frequency of forest fires by informing prevention efforts effectively. [...] Read more.
Forest fires have significant impacts on economies, cultures, and ecologies worldwide. Developing predictive models for forest fire probability is crucial for preventing and managing these fires. Such models contribute to reducing losses and the frequency of forest fires by informing prevention efforts effectively. The objective of this study was to assess and map the forest fire susceptibility (FFS) in the Indian Western Himalayas (IWH) region by employing a GIS-based fuzzy analytic hierarchy process (Fuzzy-AHP) technique, and to evaluate the FFS based on forest type and at district level in the states of Jammu and Kashmir, Himachal Pradesh, and Uttarakhand. Seventeen potential indicators were chosen for the vulnerability assessment of the IWH region to forest fires. These indicators encompassed physiographic factors, meteorological factors, and anthropogenic factors that significantly affect the susceptibility to fire in the region. The significant factors in FFS mapping included FCR, temperature, and distance to settlement. An FFS zone map of the IWH region was generated and classified into five categories of very low, low, medium, high, and very high FFS. The analysis of FFS based on the forest type revealed that tropical moist deciduous forests have a significant vulnerability to forest fire, with 86.85% of its total area having very high FFS. At the district level, FFS was found to be high in sixteen districts and very high in seventeen districts, constituting 25.7% and 22.6% of the area of the IWH region. Particularly, Lahul and Spiti had 63.9% of their total area designated as having very low FSS, making it the district least vulnerable to forest fires, while Udham Singh Nagar had a high vulnerability with approximately 86% of its area classified as having very high FFS. ROC-AUC analysis, which provided an appreciable accuracy of 79.9%, was used to assess the validity of the FFS map produced in the present study. Incorporating the FFS map into sustainable development planning will assist in devising a holistic strategy that harmonizes environmental conservation, community safety, and economic advancement. This approach can empower decision makers and relevant stakeholders to take more proactive and informed actions, promoting resilience and enhancing long-term well-being. Full article
(This article belongs to the Special Issue Spatial Analysis of Fire Susceptibility, Taking into Account Climatic, Vegetation and Geomorphological Triggering Factors through the Use of Remote Sensing Techniques)
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