Special Issue "New Sensors, Multi-Sensor Integration, Large Volumes: New Opportunities and Challenges in Forest Fire Research"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 January 2017)
Prof. Dr. Diofantos G. Hadjimitsis
Prof. Ioannis Gitas
Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
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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
Dr. Kyriacos Themistocleous
Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, 3036 Lemesos, Cyprus
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Interests: environmental sciences; aerial and satellite remote sensing; geographical information systems (GIS); spectroscopy; geophysics; atmospheric correction; UAVs; ground penetrating radar; water-agriculture-atmospheric remote sensing; land use; life cycle cost; cultural heritage; architecture; urban design; real estate; energy efficiency
The past few years have seen the successful launch of several satellite systems (e.g., SUOMI-VIIRS, Landsat 8, Sentinel 1A, Sentinel 2A) that will ensure systematic fire monitoring, both at coarse and at moderate resolution, and that will open unprecedented opportunities for multi-sensor fusion and for the automatic processing of large volumes of data.
The 10th EARSeL Forest Fire Workshop will take place in Limassol, Cyprus from 2 to 5 November, 2015, with a primary focus on "Sensors, Multi-Sensor Integration, Large Volumes: New Opportunities and Challenges in Forest Fire Research". Thematic sessions will be dedicated to the use of multi-scale sensors, including UAV, drone, aircraft, helicopter, Landsat/Sentinel, MODIS/PROBA, and systematic observations through Landsat WELD and Sentinel 1/2/3 to conduct research in forest fires.
Remote sensing of fire has a long heritage: the potential of satellite data for providing thematic information on active fires and burned areas has been explored since the first civilian earth observation missions. However, the launch of MODIS—the first sensor with dedicated fire bands—and more recently the open and free distribution policy of Landsat data have significantly increased the relevance of satellite data in fire sciences.
In recent years, the range of applications has increased significantly, including the assessment of the short-term and long-term impact caused by ﬁre to the environment, as a result of the following:
- increase in the number of sensors with spectral characteristics suitable for studying aspects of ﬁre
- improvement of our understanding of the role of ﬁre in ecosystems functioning
- progress in computer technology (hardware, software), with particular regard to the distribution and processing of large datasets
- development of new advanced digital image analysis techniques
- improved access to and availability of satellite data and derived products.
For over a decade remotely sensed data have been used systematically to detect active fire and burned areas, and to estimate atmospheric emissions due to biomass burning. Additionally, satellite data are now being used more and more for fire characterization and for fire ecology studies, characterizing the impact of fires on the landscape and linking fire frequency and intensity to ecological changes.
As we attempt to model the Earth System, it is important that the impact of forest fires on the Earth System is fully understood and quantified. These impacts can be on climate, the biosphere, ecosystem functioning, society and livelihood. Fire disturbance has been recognized as an Essential Climate Variable required to support the work of the IPCC and UNFCC. Forest disturbance and the associated carbon flux needs to be measured and reported under the United Nations REDD+ program. Furthermore, there has been significant progress in understanding the short term impacts of fire on forests, but understanding the response of vegetation under different fire frequency and severity scenarios remains a challenge.
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. The 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.
In this context, since its foundation the FF-SIG, has organized workshops and promoted research through specialized publications. The nine workshops organized by the group, so far, were held in Alcalá de Henares (1995), Luso (1998), Paris (2001), Ghent (2003), Zaragoza (2005), Thessaloniki (2007), Matera (2009), Stresa (2011), and Coombe Abbey (2013). These workshops resulted in outstanding progress made in forest fire research, and selected papers presented in these technical meetings were included in Special Issues of scientific journals related to forest fires and remote sensing ,such as the International Journal of Remote Sensing, the Remote Sensing of Environment, the Journal of Geophysical Research, the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, the International Journal of Wildland Fire (special section), and MDPI’s Remote Sensing.
The 10th EARSel Forest Fire Workshop is organized by the Cyprus Remote Sensing Society in collaboration with the Cyprus University of Technology and the School of Forestry and Natural Environment, Aristotle University of Thessaloniki. The workshop and the proposed Special Issue will be focused on quantifying the environmental impact of fire at a number of scales and they are expected to result in a set of papers of great interest for many users of satellite-derived fire products. We invite you to submit articles on the following topics:
1. The use of multi-scale sensors, including UAV, drone, aircraft, helicopter, Landsat/Sentinel, MODIS/PROBA
2. Systematic observations through Landsat WELD and Sentinel 1/2/3
3. Characterizing the impact of fire severity and fire frequency across vegetation types
4. Validation methods for burned area mapping
5. Monitoring and modeling vegetation recovery after fire disturbance
6. Scaling from regional to global burned area maps
7. Mapping forest fires for REDD+ MRV
8. Using active fire mapping and fire radiative energy to inform on fire severity and impact
Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.
Prof. Diofantos Hadjimitsis
Prof. Ioannis Gitas
Prof. Luigi Boschetti
Dr. Kyriacos Themistocleous
Manuscript Submission Information
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