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Remote Sensing
Special Issues
Remote Sensing Applications for Enhancing Wildfire Management and Ecosystem Multifunctionality
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Remote Sensing Applications for Enhancing Wildfire Management and Ecosystem Multifunctionality

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 533

Special Issue Editors

Dr. Paula Llamas

E-Mail Website
Guest Editor
Department of Didactics, Specifics and Theory of Education, Faculty of Education, University of León, 24007 León, Spain
Interests: fire ecology; landscape ecology; ecosystem services; land use/land cover; remote sensing; land dynamics
Dr. Angela Taboada

E-Mail Website
Guest Editor
1. Department of Biodiversity and Environmental Management, Area of Ecology, Faculty of Biology and Environmental Sciences, University or León, 24007 León, Spain
2. Institute of Environmental Research (IMA), University of León, 24007 León, Spain
Interests: global change; wildfires; ecosystem services; applied ecology; ecosystem functioning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wildfires represent a critical challenge for ecosystem multifunctionality worldwide, exerting profound impacts on biodiversity, ecosystem services, and human livelihoods. In recent years, the frequency and intensity of wildfires have escalated, exacerbated by factors such as climate change, land-use practices, and human activities. Amidst these challenges, the integration of remote sensing technologies and wildfire management has emerged as a promising approach to enhance preparedness, response, and recovery efforts.

By leveraging data from satellites, aircraft, and ground-based sensors, remote sensing offers an unparalleled ability to provide critical insights into fires’ behavior, extent, and severity, empowering stakeholders with accurate information for effective pre- and post-wildfire management; mitigating risks; and protecting vulnerable ecosystems, their functions, and services.

This Special Issue calls for manuscripts addressing new applications and developments in remote sensing for a deeper understanding of the interactions between wildfires, ecosystems, and society and to identify actionable strategies for enhancing wildfire management and ecosystem resilience and multifunctionality. The specific topics of interests include, but are not limited to, the following:

  • Remote sensing-based decision support systems for wildfire management.
  • Fuel structure and composition.
  • Fire and biotic and abiotic interactions at the landscape scale.
  • Fire-induced changes in ecosystem functioning and services.
  • Machine and deep learning approaches for wildfire remote sensing.
  • Wildfire classification.
  • Fire risk assessment.
  • Remote sensing analyses for post-fire assessment and recovery.
  • Fire emissions and their effects on health and climate.

Dr. Paula García Llamas
Dr. Angela Taboada
Guest Editors

Esther Peña Molina
Guest Editor Assistant

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

  • wildfire
  • fire management
  • remote sensing
  • ecosystem functioning
  • fire products
  • fire risk
  • ecosystem services

Published Papers (1 paper)

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Research

21 pages, 5043 KiB  
Article
Using Sentinel-2 Imagery to Measure Spatiotemporal Changes and Recovery across Three Adjacent Grasslands with Different Fire Histories
by Annalise Taylor, Iryna Dronova, Alexii Sigona and Maggi Kelly
Remote Sens. 2024, 16(12), 2232; https://doi.org/10.3390/rs16122232 - 19 Jun 2024
Viewed by 375
Abstract
As a result of the advocacy of Indigenous communities and increasing evidence of the ecological importance of fire, California has invested in the restoration of intentional burning (the practice of deliberately lighting low-severity fires) in an effort to reduce the occurrence and severity [...] Read more.
As a result of the advocacy of Indigenous communities and increasing evidence of the ecological importance of fire, California has invested in the restoration of intentional burning (the practice of deliberately lighting low-severity fires) in an effort to reduce the occurrence and severity of wildfires. Recognizing the growing need to monitor the impacts of these smaller, low-severity fires, we leveraged Sentinel-2 imagery to reveal important inter- and intra-annual variation in grasslands before and after fires. Specifically, we explored three methodological approaches: (1) the complete time series of the normalized burn ratio (NBR), (2) annual summary metrics (mean, fifth percentile, and amplitude of NBR), and (3) maps depicting spatial patterns in these annual NBR metrics before and after fire. We also used a classification of pre-fire vegetation to stratify these analyses by three dominant vegetation cover types (grasses, shrubs, and trees). We applied these methods to a unique study area in which three adjacent grasslands had diverging fire histories and showed how grassland recovery from a low-severity intentional burn and a high-severity wildfire differed both from each other and from a reference site with no recent fire. On the low-severity intentional burn site, our results showed that the annual NBR metrics recovered to pre-fire values within one year, and that regular intentional burning on the site was promoting greater annual growth of both grass and shrub species, even in the third growing season following a burn. In the case of the high-severity wildfire, our metrics indicated that this grassland had not returned to its pre-fire phenological signals in at least three years after the fire, indicating that it may be undergoing a longer recovery or an ecological shift. These proposed methods address a growing need to study the effects of small, intentional burns in low-biomass ecosystems such as grasslands, which are an essential part of mitigating wildfires. Full article
(This article belongs to the Special Issue Remote Sensing Applications for Enhancing Wildfire Management and Ecosystem Multifunctionality)
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