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Special Issue "New Trends in Forest Fire Research Incorporating Big Data and Climate Change Modeling"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 June 2018

Special Issue Editors

Guest Editor
Prof. Ioannis Gitas

Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
Website | E-Mail
Fax: +30 2310 992677
Interests: forest fires; pre-fire planning and post-fire assessment; land use/land cover mapping; soil erosion risk assessment/desertification; other environmental applications of remote sensing and GIS
Guest Editor
Dr. Vincent G. Ambrosia

NASA-Ames Research Center, Moffett Field, CA 94035, USA
Website | E-Mail
Phone: +1-650-604-6565
Interests: wildland fire; post-fire burn assessment; sensor systems; TIR; UAS platforms; decision support systems
Guest Editor
Dr. Chariton Kalaitzidis

Department of Geoinformation in Environmental Management, Mediterranean Agronomic Institute of Chania (MAICh), Chania, Greece
Website | E-Mail
Interests: land use/land cover mapping; field spectroscopy; forest monitoring; UAS applications; agri-environmental issues; precision agriculture

Special Issue Information

Dear Colleagues,

Satellite remote sensing systems and technologies have been long considered as basic components in fire research and management due to the extensive use of Earth Observation data over the past few decades, which has significantly contributed towards more integrated methodological schemes in fire-related studies and operational applications at local, regional and global scales. In recent years, new trends and shifts in fire research have been mainly driven by sensor availability, as well as data distribution policies, which have provided free access to large archives of satellite data.

Indeed, continuity and future missions of various satellite systems (e.g., SUOMI-VIIRS, Landsat-8, Sentinels, PROBA-V) ensure constant provision of coarse to high spatial resolution datasets, thus facilitating the systematic monitoring of fire disturbance at various spatio-temporal scales. In addition, the rapid progress in computer technology enables the processing and multi-sensor fusion of large volumes of datasets. Consequently, new approaches that have been proposed by the scientific community focus on the development of automated and semi-automated techniques, especially for active fire detection and mapping of burned areas.

The growing need for the extraction of valuable information from large volumes of spatio-temporal data regarding the long-term evolution of fire regimes resulted in a shift, in the last few years, from multi-temporal to hyper-temporal approaches. Exploitation of dense satellite time-series and efficient management of large data volumes, derived from multiple observation systems, are expected to contribute towards a more comprehensive understanding of the response of ecosystems and biomes under different fire frequency and severity scenarios.

Such scenarios are often triggered by climatic influences on fire regimes. Undoubtedly, the effects of climate change on fire occurrence are evident on a global scale, resulting in a substantial increase of extreme fire incidents, which, in turn, contribute to an increase in greenhouse gas emissions. Modeling tools and data assimilation schemes, exploiting available EO data, among others, are expected to significantly support future projections of the intensity of the climate change phenomenon, taking into account the contribution of forest fires.

The 11th EARSeL Forest Fire workshop will be held in Chania, Greece, 25–27 September, 2017, and will focus on “New Trends in Forest Fire Research Incorporating Big Data and Climate Change Modeling” (http://ffsig2017.maich.gr). The thematic sessions will include presentations and posters on the use of data delivered by the most recent satellite missions, employing big data and time-series for monitoring fire disturbance and post-fire vegetation trends, and modeling the effects of climate change on forests with regards to fire risk and post-fire vegetation development.

The EARSeL Special Interest Group on Forest Fires (FF-SIG) was created in 1995, following the initiative of several researchers studying fires in Mediterranean Europe. FF-SIG, which currently represents one of the most active groups within EARSeL, promotes the integration of advanced technologies and the production of satellite-derived products for the benefit of forest managers, researchers, local governments and global organizations. Previous workshops of the SIG have been held in Alcalá de Henares (1995), Luso (1998), Paris (2001), Ghent (2003), Zaragoza (2005), Thessaloniki (2007), Matera (2009), Stresa (2011) Coombe Abbey (2013) and Limassol (2015).

The 11th EARSeL Forest Fire workshop is co-organized by the School of Forestry and Natural Environment, Aristotle University of Thessaloniki, the Mediterranean Agronomic Institute of Chania, of the International Centre for Advanced Mediterranean Agronomic Studies, and the National Aeronautics and Space Administration. The workshop and proposed Special Issue will be focused on global systems for monitoring wildfires, as well as the missions providing data for this purpose, and the modeling endeavors with regards to climate change, considering the contribution of forest fires. We invite you to submit articles on the following topics:

(1) Studies on the impact of climate change on forest fires occurrence and severity;
(2) Contribution of the current and upcoming Sentinel missions on forest fire research;
(3) Exploitation of Big Data and dense satellite time-series for fire disturbance monitoring;
(4) Improved methods of modelling post-fire vegetation trends;
(5) Improved capabilities for sharing / understanding / modelling large-volume fire data sets;
(6) Methods of forest fire detection and monitoring on multiple scales;

Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.

Prof. Ioannis Gitas
Dr. Vincent Ambrosia
Dr. Chariton Kalaitzidis
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 papers will be 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 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 1600 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.

Published Papers

This special issue is now open for submission.

Journal Contact

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