Remote sensing for disaster risk management: Advances and limitations

Norman Kerle, Marc van den Homberg

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

This chapter explains how the disaster domain has been a key application area for remote sensing since its pioneering days, with a strong development from opportunistic post-event image acquisition to concerted and regular monitoring of socionatural hazards and comprehensive disaster risk management. It highlights recent technical and organizational advances, such as those related to dynamic, multi-hazard risk assessment, as well as large satellite constellations and sophisticated drones, with machine learning and semantic scene analysis playing increasing roles in data processing. Finally, the chapter discusses the limitations of remote sensing data and gaps in how they are used.
Original languageEnglish
Title of host publicationComprehensive Remote Sensing
EditorsShunlin Liang
PublisherElsevier
Number of pages23
Edition2
ISBN (Electronic)9780443239496
ISBN (Print)9780443132209
DOIs
Publication statusE-pub ahead of print/First online - 11 Nov 2024

Keywords

  • Disaster
  • Remote sensing
  • Early action
  • Anticipatory action
  • Damage
  • Geomatics
  • Disaster risk management
  • 2025 OA procedure

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