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 language | English |
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Title of host publication | Comprehensive Remote Sensing |
Editors | Shunlin Liang |
Publisher | Elsevier |
Number of pages | 23 |
Edition | 2 |
ISBN (Electronic) | 9780443239496 |
ISBN (Print) | 9780443132209 |
DOIs | |
Publication status | E-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