Managing data in a disaster situation

被引:0
作者
Fabisch M. [1 ]
Abrahamczyk L. [2 ]
Maiwald H. [2 ]
机构
[1] Rheinland-Pfälzische Technische Universität, Kaiserslautern
[2] Bauhaus-Universität Weimar, Weimar
关键词
Compendex;
D O I
10.1007/s35147-023-1892-5
中图分类号
学科分类号
摘要
Information based on reliable data is the key to effectively managing a disaster. Targeted data collection, processing, and visualization can optimize many processes, gain information, and make more informed decisions. With advancing technological developments, traditional data collection methods can be updated or supplemented by modern methods such as unmanned aerial systems or field apps. Depending on the situation, the different approaches offer various advantages and disadvantages. In addition to data collection, data processing and visualization are necessary for effective use of the data. Different requirements are placed on GIS systems in various phases of the disaster. © 2023, Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature.
引用
收藏
页码:21 / 25
页数:4
相关论文
共 13 条
  • [1] Fischer R., Rechtsfragen Beim Feuerwehreinsatz, 4, (2017)
  • [2] Landesgesetz über Den Brandschutz, Die Allgemeine Hilfe Und Den Katastrophenschutz (Brand- Und Katastrophenschutzgesetz - LBKG), (1981)
  • [3] Hallermann N., Et al., UAS-basierte Diagnostik von Infrastrukturbauwerken, Bautechnik, 95, pp. 720-726, (2018)
  • [4] Schwarz J., Et al., Methoden für digitale 3D-Lagebilder: Erfahrungen aus dem Hochwasser 2021, Bautechnik, 100, (2023)
  • [5] Workshop - Datenerhebung und Informationssysteme für ein erfolgreiches Hochwasserrisikomanagement, (2022)
  • [6] Fabisch M., Henninger S., ESPRESSO - systEmic Standardisation apPRoach to Empower Smart citieS and cOmmunities, Smart Cities in Smart Regions, 39, pp. 115-126, (2018)
  • [7] Matias T., Et al., Field Performance of a Low-Cost Sensor in the Monitoring of Particulate Matter in Santiago, Chile, Environmental Monitoring and Assessment, 192, 3, (2020)
  • [8] Koulamas C., Lazarescu M., Real-Time Sensor Networks and Systems for the Industrial IoT, MDPI, (2020)
  • [9] Nowak M., Et al., Mobile GIS applications for environmental field surveys: A state of the art, Global Ecology and Conservation, 23, (2020)
  • [10] Maiwald H., Et al., Das Hochwasser 2021 - Ingenieuranalyse der Bauwerksschäden, Bautechnik, 99, pp. 878-890, (2022)