Fuel type mapping using object-based image analysis of DMC and Landsat-8 OLI imagery

Stefanidou, Alexandra; Dragozi, Eleni; Stavrakoudis, Dimitris G.; Gitas, Ioannis Z.

doi:10.1080/10106049.2017.1333532

Cited by 10 publications

(2 citation statements)

References 47 publications

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“…Some sensors widely used for this purpose include the Landsat TM, ETM and OLI (He et al 2019;Stefanidou et al 2018;Van Wagtendonk and Root 2003), the Terra and Aqua MODIS (Bajocco et al 2015;Lanorte and Lasaponara 2008), the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER, Yamaguchi et al 1998) on board Terra (Lasaponara and Lanorte 2007), and even AVHRR (Nadeau et al 2005). More recently, Sentinel-2 data have also been used for forest characterization and fuel mapping (Franke et al 2018;Hościło and Lewandowska 2019;Yankovich et al 2019).…”

Section: Fuel Types Classificationmentioning

confidence: 99%

Fire Danger Observed from Space

Pettinari

Chuvieco

2020

Surv Geophys

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Biomass burning is one of the critical components of the Earth system, significantly affecting atmospheric emissions and carbon budgets. Fires occurring in the interface between wildland and urban areas also have important socioeconomic effects, affecting people's lives and resources. Even though fires are natural in many ecosystems, climate and societal changes have recently caused particularly severe fire seasons (Australia, California, Amazonia, Portugal…). Mitigating the negative impacts of fire requires further efforts to assess fire danger conditions. Satellite Earth observation provides considerable capabilities to evaluate the different variables involved in fire danger. Data obtained from remote sensors offer information on possible sources of fire ignition, on fuel status and abundance, and on the topography and the meteorological conditions that will affect fire spread. Satellite observations also provide near-real-time information on fire occurrence for early response teams. This article describes the different variables affecting fire danger and illustrates how satellite data can offer useful information to estimate these variables, focusing on global and continental fire danger systems.

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Section: Fuel Types Classificationmentioning

confidence: 99%

Fire Danger Observed from Space

Pettinari

Chuvieco

2020

Surv Geophys

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“…The Mediterranean region is characterized by a complex relief which results in complex vegetation patterns and structures. The wide availability of satellite remote sensing data at high spatial, spectral and temporal resolution offer a great tool to, thematically and spatially, accurately map the complex vegetation mosaics observed in the Mediterranean landscape [35][36][37]. While moderate resolution Landsat data have been widely used for vegetation and fuel mapping, as have various very high resolution data, the suitability of Sentinel-2 data for fuel mapping in the complex landscape of eastern Mediterranean region remains largely unexplored.…”

Section: Introductionmentioning

confidence: 99%

Integrating Remote Sensing Methods and Fire Simulation Models to Estimate Fire Hazard in a South-East Mediterranean Protected Area

Xofis

Konstantinidis²,

Papadopoulos³

et al. 2020

Fire

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Unlike low intensity fire which promotes landscape heterogeneity and important ecosystem services, large high-intensity wildfires constitute a significant destructive factor despite the increased amount of resources allocated to fire suppression and the improvement of firefighting tactics and levels of organization. Wildfires also affect properties, while an increasing number of fatalities are also associated with wildfires. It is now widely accepted that an effective wildfire management strategy can no longer rely on fire suppression alone. Scientific advances on fire behavior simulation and the increasing availability of remote sensing data, along with advanced systems of fire detection can significantly reduce fire hazards. In the current study remote sensing data and methods, and fire behavior simulation models are integrated to assess the fire hazard in a protected area of the southeast Mediterranean region and its surroundings. A spatially explicit fire hazard index was generated by combining fire intensity estimations and proxies of fire ignition probability. The results suggest that more than 50% of the study area, and the great majority of the protected area, is facing an extremely high hazard for a high-intensity fire. Pine forest formations, characterized by high flammability, low canopy base height and a dense shrub understory are facing the most critical hazard. The results are discussed in relation to the need for adopting an alternative wildfire management strategy.

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