Volume XLII-3/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W4, 277-281, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-W4-277-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W4, 277-281, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-W4-277-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  06 Mar 2018

06 Mar 2018

EFFICIENCY AND EFFECTIVENESS APPROACHES IN SPATIAL DATA COLLECTION OF VRISA AFTER LESVOS EARTHQUAKE

D. Kavroudakis1, N. Soulakellis1, K. Topouzelis2, S. Chatzistamatis3, C. Vasilakos1, A. Papakostantinou1, G. Tataris1, C. Kalloniatis3, O. Rousou1, M. Batsaris1, K. Chaidas1, and P. Kalaitzis1 D. Kavroudakis et al.
  • 1Department of Geography, University of the Aegean, Lesvos, Greece
  • 2Department of Marine Sciences, University of the Aegean, Lesvos, Greece
  • 3Department of Cultural Technology and Communication, University the Aegean, Lesvos, Greece

Keywords: Efficiency, effectiveness, spatial data collection, spatial data management

Abstract. Efficient and effective spatial data collection is crucial in cases of catastrophic events. Resources efficiency and project effectiveness are two aspects that need special attention especially when there are spatial and temporal constraints. There is limited literature regarding efficiency and effectiveness in spatial data collection approaches. This work elaborates on the collection of spatially-aware data from a diverse scientific group of teams after the catastrophic earthquake of Mw = 6.3 in Vrisa village, Lesvos island in Greece in June 2017. More specific we deal with challenges faced by six teams of experts (Topographic team, House conditions data collection team, Unmanned Aerial Vehicle team, 3D Laser Scanner team, Photogrammetry team and Privacy team). The scientific teams had to collect accurate spatial data for the same area, during a period of 20 days after the earthquake. That was a challenging task due to restrictions in the area and complexity/diversity of spatial data. We present the methodological approaches followed for efficient and effective data-capturing, and we propose a framework of team/data management under concurrent data collection by scientific teams after catastrophic events such as earthquakes.