Data and disaster information is crucial to support disaster response, recovery, and relief process. Unfortunately, acquiring data during emergency situations is difficult. After a disaster occurred, information about the victim and the impact of the disaster must be collected immediately for aid distribution purposes. Collecting shelter location data with number of victims and their needs must be completed swiftly as a disaster response action. Furthermore, collecting information of damaged buildings is also essential to determine the amount of compensation for destroyed houses. Geographic Information System combined with remote sensing is practical and reliable to help all of these tasks. WorldView-3 high resolution imagery with 0.5 m spatial resolution provided by Digital Globe is used to interpret damaged building in Palu City study area. By comparing satellite imagery before and after disaster, damaged building information can be interpreted and extracted as a cartographic map. Cross validation with field data of damaged building demonstrated that accuracy of the interpretation is approximately 80.49 %. The result of the damaged building compared with shelter distribution data using service area accessibility analysis and then used to analyze optimum coverage of disaster mitigation shelters.
Topographic feature is one of the several factors affecting the distortion of the real reflectance value of objects. Digital processing used the surface reflectance values of satellite imagery needs the corrected images with the most minimized disturbances, hence several topographic correction methods using digital elevation data have been developed. This study examined the different result of topographic correction from several available elevation data in Indonesia, including SRTM DEM, topographic map (RBI), and DEMNAS. Sun-Canopy-Sensor+C (SCS+C) correction was applied on Landsat-8 data over Menoreh Mountains, Indonesia. The results obtained showed that DEMNAS produced the most topographically normalized images based on statistical and visual analysis. The availability of DEMNAS throughout Indonesia is the advantage to be used as an input of this pre-processing method. However, it needs to be examined first since the quality is not surely similar to our study site.