2010SWCB
Although the occurrence of natural disasters is hard to predict, the extent of resulting damages is able to be eliminated by collecting multi-stage remote sensing data and developing a well-designed visualization and interactive tool to integrate and effectively distribute the collected spatial information for disaster prevention and public participation. This project aims to develop a multi-stage remote sensing data and geospatial information system (MRSDGIS) for eight towns in southern Taiwan using Google Earth Application Programming Interface (API). Remote sensing imagery from the multi-stage platforms ranging from space (FORMOSAT-2 satellite imagery), mid-altitude (aerial photo) and ground (panorama photo) were collected as the multi-stage remote sensing data in the system. Except for the multi-scale remote sensing imagery, a comprehensive geospatial dataset for disaster prevention were also integrated into MRSDGIS, including high-spatial-resolution slope maps, geological maps, geological sensitivity maps, evacuation maps, potential streams of debris flow and their affected regions. Furthermore, we successfully deployed the MRSDGIS system in various cloud services and encouraged results were obtained through several network performance and load impact tests. This motivates us to develop a web-based system dedicated for rapidly responding to the disaster events, using Google Earth API and deploying through the cloud service.