## 1 Introduction  
The wildland-urban interface (WUI) is the area where wildland vegetation and the city's buildings intermix. The expansion of cities brought a rapid growth in the WUI areas worldwide, increasing the risk of WUI fires due to extended human activities [1; 2; 3]. Fires at the WUI often cause greater economic loss and human casualties than wildland fires [4]. In recent years, there has been an increase in reported cases of large WUI fires in Mediterranean climate regions [5]. Such a trend is expected to continue due to projected warming and ongoing urban expansion trends in many Mediterranean regions [5,6]. Accurate information regarding the spatial distribution and the level of damage (e.g., burn severity) of WUI fires is therefore required to allocate economic resources, and for prioritizing proper treatment actions [7], as well as budgeting funds to protect existing trees on urbanized and near urbanized land [8]. Remote sensing from satellites has become a major tool in fire monitoring. The ability to acquire temporally- and spatially-continuous information from satellites can be highly beneficial for pre- and post-fire assessments [9, 10, 11, 12]. Satellites provide information about the surface of the Earth with a wider spatial coverage, and often higher temporal resolution, which is also much cheaper and faster to acquire than conventional field surveys [13]. Satellite remote sensing has been used to monitor vegetation recovery following major fires [14,15], provide fuel-based maps for fire models [16], follow active fire dynamics [17], assess daily-scale forest fire danger in forecasting systems [18], and estimate post-fire burn severity levels [12,19,20]. Burn severity, which is the level of damage related to biomass consumption caused by the fire (also referred to as 'fire severity' by some researchers; see e.g., [21]), may be used to quantify the economic as well as the ecological damage of the fire. It is important for restoration planning of the burnt area [7], as well as for indicating potential areas where flash floods and soil erosion may occur [21] following alterations in soil properties and dynamics caused by the fire [22]. Examples of satellites used to assess post-fire burn severity mapping include the NASA's Moderate-resolution imaging spectroradiometer (MODIS), with a spatial resolution of 250 m and a daily revisit time, in Mediterranean forests and woodlands [23]; Landsat satellites with a higher spatial resolution (30 m), but a longer revisit time of 16 days, in Mediterranean forests, shrublands and olive groves at Peloponnese, Greece [24]; and, in recent years, the high-to-very-high spatial resolution Sentinel satellites (10-20 m and 10 day revisit time) in a Mediterranean pine ecosystem at the Thasos island, Greece [25]. as well as the commercial, very high spatial resolution WorldView-2 satellite (2 m) in the Pine Barrens ecosystem at Long Island, New York [12,26]. Landsat-class data (including Sentinel 2) are used to operationally map burn severity for all wildfires larger than 500 acres in the eastern US, and larger than 1000 acres in the western US. This operational use extends beyond a single scientific study. However, all aforementioned studies (and those not mentioned here) did not exploit the information provided by the satellites to assess the economic damage caused by the fire. An exception is the study of [PERSON] et al. 2014 [27], which assessed the economic loss caused by a fire in Andalusia, southern Spain, by using burn severity maps derived from MODIS. Moreover, most of the burn severity mapping efforts were made with satellites that provide a relatively coarse spatial resolution, e.g., by using MODIS (250 m-1000 m) and Landsat (30 m) images [28,29]. To date, as far as the authors are aware, there has been no study using high spatial resolution satellite images for burn severity mapping at the WUI.