Remote Sensing of Forest Fire: Data, Science and Operational Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 79552
Special Issue Editor
Interests: archaeology; computer science; geography; modelling; data processing; integration and interpretation of big earth observation for natural/anthropogenic risk estimation; SAR imagery processing and analysis; spatial statics; monitoring and mitigation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technologies have long been considered as a key tool for fire data, science, modelling, management, and monitoring. The most recent developments in computer technology, data processing, artificial intelligence (AI), deep learning approaches, and geospatial data mining techniques, enable advanced dynamic modelling, tools, data integration, and assimilation schemes, and are expected to significantly support and improve fire science and operational applications. Recently, the availability of new sensors from satellite, aerial, drone, and ground, along with the free access to large archives of data, has opened new perspectives for both fire science and applications. We invite you to submit articles on topics including, but not limited to, the following:
- Earth observation (optical, SAR, UAV, and LiDAR) as a tool for data science and operational applications
- Advanced geospatial data mining techniques
- Integration of satellite, aerial/drone, and in situ observation in the Copernicus Era
- Fire disturbance monitoring at multiple spatio-temporal scales
- Deep learning approaches for fire science and applications
- Advances in remote sensing of forest fire fuel mapping
- Data integration for fire and post fire geo-hazards risk mitigation and management
- Earth big data for monitoring and mapping fire and post-fire induced risk
- Fusion and integration of data and information from multiple sources
- Integration of RS with climate and meteorological data and forecasting
- New tools and methods for fire monitoring and mitigation strategies
Dr. Rosa Lasaponara
Guest Editor
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
- Fire
- Earth observation
- Copernicus
- Data integration
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