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Natural Hazards

, Volume 86, Supplement 1, pp 177–182 | Cite as

Speeding up the clock in remote sensing: identifying the ‘black spots’ in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution

  • Christoph Aubrecht
  • Patrick Meier
  • Hannes Taubenböck
Original Paper

Increasing human and monetary losses resulting from extreme natural events over the past decades have been documented in corresponding disaster data compilations such as the open-access EM-DAT, SHELDUS, and DesInventar or the private domain NatCatSERVICE (Munich Re) and Sigma (Swiss Re) databases. One of the most imminent questions in disaster risk research is therefore to identify the main root causes of those increasing impacts as a first step toward being able to address those aspects in mitigation planning. Statistical evidence about increase in frequency and intensity of hazardous extreme events depends on the quality and quantity of data available for probabilistic trend evaluation, and varies across regions and in particular for different types of events. For example, certain hydrometeorological hazards such as heavy precipitation events show an observed statistically significant increase in parts of North America in the second half of the twentieth century (e.g., Peterson et...

Keywords

Disaster Risk International Space Station Drone Disaster Response Volunteer Geographic Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Christoph Aubrecht
    • 1
    • 2
  • Patrick Meier
    • 3
  • Hannes Taubenböck
    • 4
  1. 1.Energy DepartmentAIT Austrian Institute of TechnologyViennaAustria
  2. 2.Global Practice on Social, Urban, Rural and Resilience (GSURR)The World BankWashingtonUSA
  3. 3.Social Computing DepartmentQatar Computing Research InstituteDohaQatar
  4. 4.German Remote Sensing Data Center (DFD)German Aerospace Center (DLR)OberpfaffenhofenGermany

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