Abstract
Abstract. During disaster and emergency situations, geospatial data plays an important role to serve as a framework for decision support system. As one component of basic geospatial data, large scale topographical maps are mandatory in order to enable geospatial analysis within quite a number of societal challenges. The increasing role of geo-information in disaster management nowadays consequently needs to include geospatial aspects on its analysis. Therefore different geospatial datasets can be combined in order to produce reliable geospatial analysis especially in the context of disaster preparedness and emergency response. A very well-known issue in this context is the fast delivery of geospatial relevant data which is expressed by the term “Rapid Mapping”. Unmanned Aerial Vehicle (UAV) is the rising geospatial data platform nowadays that can be attractive for modelling and monitoring the disaster area with a low cost and timely acquisition in such critical period of time. Disaster-related object extraction is of special interest for many applications. In this paper, UAV-borne data has been used for supporting rapid mapping activities in combination with high resolution airborne Interferometric Synthetic Aperture Radar (IFSAR) data. A real disaster instance from 2013 in conjunction with Mount Sinabung eruption, Northern Sumatra, Indonesia, is used as the benchmark test for the rapid mapping activities presented in this paper. On this context, the reliable IFSAR dataset from airborne data acquisition in 2011 has been used as a comparable dataset for accuracy investigation and assessment purpose in 3 D reconstructions. After all, this paper presents a proper geo-referencing and feature extraction method of UAV data to support rapid mapping activities.
Highlights
The role of geospatial information as an integrated part of governmental activities has been profoundly developed since 2011 by the legislation about Geospatial Information in Indonesia
The selected Ground Sampling Distance (GSD) for orthopotos is 10 cm while 20 cm for Digital Elevation Model (DEM). This resolution allows optimal zooming for manual interpretation and high accuracy can be reached for providing 2D reference data in feature extraction evaluation
Unmanned Aerial Vehicle (UAV) is of high potential and useful to support rapid mapping activities in terms of accuracy and flexibility
Summary
The role of geospatial information as an integrated part of governmental activities has been profoundly developed since 2011 by the legislation about Geospatial Information in Indonesia. Large scale topographical mapping is prioritized to support the nationwide development e.g. related to disaster preparedness, detailed spatial planning, etc. Geospatial-based information nowadays has turned into a primary need in human life. This phenomenon brings an attention to the corresponding stakeholders and geospatial industries in parallel with the invention of new technologies in an open and competitive worldwide market. The importance of disaster management triggers worldwide cooperation under Services and Applications for Emergency Response (SAFER) projects (Schneiderhan, 2010). On this context, the geospatial data acquisition takes a major role, in which the utilization of space borne based data including Very
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