Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency response
Abstract Geohazard emergency response is a disaster event management act that is multifactorial, time critical, task intensive and socially significant. To improve the rationalization and standardization of space–air–ground remote sensing collaborative observations in geohazard emergency responses, this paper comprehensively analyzes the technical resources of remote sensors and emergency service systems and establishes a database of technical and service evaluation indexes using MySQL (Structured Query Language). Based on the database, we propose the method of using the technique for order preference by similarity to an ideal solution (TOPSIS) and a Bayesian network to evaluate the synergistic observation effectiveness and service capability of remote sensing technology in geohazard emergency response, respectively. We demonstrate through experiments that using this evaluation can effectively grasp the operation and task completion of remote sensing cooperative technology in geohazard emergency response. This provides a decision basis for the synergistic planning work of heterogeneous sensors in geohazard emergency response.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency response ; volume:22 ; number:1 ; year:2022 ; pages:227-244 ; extent:18
Natural hazards and earth system sciences ; 22, Heft 1 (2022), 227-244 (gesamt 18)
- Classification
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Soziale Probleme, Sozialdienste, Versicherungen
- Creator
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Liu, Yahong
Zhang, Jin
- DOI
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10.5194/nhess-22-227-2022
- URN
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urn:nbn:de:101:1-2022020304211461754556
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Liu, Yahong
- Zhang, Jin
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