Application of Remote Sensing in Forest and Grassland Fire Management
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 16 March 2026 | Viewed by 60
Special Issue Editors
Interests: agricultural and forestry meteorology and its disaster risks; wildfire risk
Special Issues, Collections and Topics in MDPI journals
Interests: comprehensive disaster and environmental risk assessment and prevention; ecological environment security assessment and comprehensive regulation
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; GIS & GeoAI; wildfire dynamics; climate variability; snowpack & water resources; groundwater storage; urban environmental change; ecosystem resilience
Interests: environmental disaster risk
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technology, as the "eye of heaven" for observing forests, grasslands, and their external environment, is playing an irreplaceable role in forest and grassland fire management. Sensors on different platforms (satellites, drones, airplanes) can penetrate smoke, cross regions, and capture spectral anomalies of key parameters such as surface temperature, smoke aerosols, and vegetation moisture status in a multi-scale, multi-phase, and multi-spectral manner. Forest and grassland fire management based on remote sensing has completely transformed the traditional passive management mode that relies on human patrol and observation, achieving a "perspective" management of the entire fire life cycle: before the disaster, risk warning is achieved by constructing a combustible humidity and distribution model; during a disaster, the fire point can be accurately located, the dynamic spread of the live line can be monitored in real time, firefighting plans can be formulated, and personnel safety can be ensured. Accurately assessing the burned area and ecosystem damage after a disaster provides a quantitative basis for ecological restoration. Therefore, developing remote sensing fire monitoring and management capabilities is not only a technological cornerstone for improving disaster prevention, reduction, and relief capabilities, but also a national strategic requirement for safeguarding national ecological security and responding to the increasingly severe fire danger situation under the background of global climate change.
This Special Issue mainly focuses on the new theories, technologies, methods, and solutions proposed in the fields of forest and grassland, featuring combustible identification and quantification, meteorological element identification and quantification, fire hazard identification and quantification, risk analysis, risk assessment, and risk warning using data from different remote sensing platforms.
This Special Issue involves the remote sensing of forest and grassland combustibles, meteorological remote sensing, fire risk/fire hazard remote sensing, ecological environment remote sensing, and other aspects.
Dr. Xingpeng Liu
Prof. Dr. Jiquan Zhang
Dr. Ali Hassan Shabbir
Dr. Zhijun Tong
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
- forest fire
- forest and grassland combustibles
- forest grassland meteorology
- fire hazard
- fuel load
- fuel moisture content
- fire extinguishing
- loss assessment
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