Determination of a Hazard Compensations Based on Land Administration Data During the summer period, fire hazards represent an especially real threat not only for vegetation and animals, but also for material resources and human lives. In the Republic of Croatia, the most affected areas are those in the coastal region, which are characterised by a very dry environment and strong winds that are conducive to the rapid spread of wildfire. Although the prevention of wildfire is an utmost imperative, many countries are still missing a good and reliable fire management system for both fire monitoring and prevention and postdisaster management. The aim of this paper is to show the utilisation of open source GIS, webbased technologies, and open data in the case of natural disasters, and to define the concept of advanced national system of compensation determination. Such a system could be utilised to identify land parcels for which compensations for damage and losses after fire devastation have to be determined and could be used by compensation agencies, insurance companies, or state administration. The island of Hvar, which has suffered from fire hazards, was used as a case study for a quick and relevant calculation of the compensation based on land administration data. Sentinel satellite images and official digital orthophoto maps (DOMs) of the affected area before and after the fire devastation were obtained and analysed together with the data on cadastral parcels and land owners. Research was conducted by using both sets of imagery data, showing that Sentinel satellite images are more than adequate for fulfilling the task of the determination of hazard compensation.

Processing of near real time land surface temperature and its application in forecasting forest fire danger conditions Near real time (NRT) remote sensing derived land surface temperature (Ts) data has an utmost importance in various applications of natural hazards and disasters. Spacebased instrument MODIS (moderate resolution imaging spectroradiometer) acquired NRT data products of Ts are made available for the users by LANCE (Land, Atmosphere Near realtime Capability) for Earth Observing System (EOS) of NASA (National Aeronautics and Space Administration) free of cost. Such Ts products are swath data with 5 min temporal increments of satellite acquisition, and the average latency is 60125 min to be available in public domain. The swath data of Ts requires a specialized tool, i.e., HEG (HDFEOS to GeoTIFF conversion tool) to process and make the data useful for further analysis. However, the file naming convention of the available swath data files in LANCE is not appropriate to download for an area of interest (AOI) to be processed by HEG. In this study, we developed a methodalgorithm to overcome such issues in identifying the appropriate swath data files for an AOI that would be able to further processes supported by the HEG. In this case, we used Terra MODIS acquired NRT swath data of Ts, and further applied it to an existing framework of forecasting forest fires (as a case study) for the performance evaluation of our processed Ts. We were successful in selecting appropriate swath data files of Ts for our study area that was further processed by HEG, and finally were able to generate fire danger map in the existing forecasting model. Our proposed methodalgorithm could be applied on any swath data product available in LANCE for any location in the world.