Using Remote Sensing to Monitor Forest Fire Behavior and Forest Landscape
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 14895
Special Issue Editors
Interests: forest fires; land use–land cover changes; wildfire modelling; fire severity; regeneration; remote sensing; LiDAR; GIS
Special Issues, Collections and Topics in MDPI journals
Interests: post-fire disturbance; vegetation change; forest aboveground biomass estimation; forest carbon sequestration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fire behavior is a product of fuel properties, weather conditions and topography during the fire advance. The new generation of fires we are facing requires a deeper knowledge about where, and under which conditions, fires occur, focusing on fuel properties and climate hazards (e.g., drought, heat waves). Remote sensing systems (i.e., LiDAR and satellite images) have proven to be highly accurate in estimating critical fuel continuities and moisture, helping to identify areas with high potential for extreme wildfire events. Additionally, fuel data derived from remote sensing systems, when included in fire behavior simulators, can predict fire spread and intensity adequately. On the other hand, UAV-borne NIR and thermal IR cameras have collected consistent time series of fire rate of spread (RoS) and direction in complex fires, which has improved knowledge about fire–environment interactions. In addition, historical fire scars and fire severity maps derived from remote sensing systems are needed to estimate the accuracy of fire behavior simulators. Automated methods based on change detection algorithms, artificial intelligence and deep learning approaches have been widely used for fire mapping. The integration of optical remotely sensed imagery and LIDAR data provides improved opportunities to understand fire behavior.
This Special Issue of Forests is focused on experimental studies, monitoring and modeling approaches on fire behavior, including characterizing pre-fire vegetation conditions, assessing fire severities and evaluate the post-fire recovery. Research articles may focus on any aspect of remote sensing techniques and/or products applied to modeling fire behavior and methods for fuel characterization and monitoring.
Dr. Olga Viedma
Prof. Dr. Chunying Ren
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. Forests 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 2600 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
- fire behavior modeling
- fuel characterization
- fire mapping
- fire severity
- postfire regeneration
- time series
- unmannaged aerial vehicles
- remote sensing systems
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.