A Cloud-Enabled Geospatial Big Data Platform for Disaster Information Services
| Autor: | Peng Yue, Lianlian He |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Spatial data infrastructure
Geospatial analysis 010504 meteorology & atmospheric sciences Disaster risk reduction business.industry Computer science Big data Interoperability 0211 other engineering and technologies Cloud computing 02 engineering and technology computer.software_genre 01 natural sciences Data science Information system business Natural disaster Resilience (network) computer Spatial analysis 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2019.8898893 |
| Popis: | Geospatial technologies have been widely used to support decision making in natural disaster responses. There have been various efforts from multiple disasters to use geospatial information and models for disaster preparation, response, and resilience. These separated efforts can be shared and re-used across various sectors using a sustained platform. This paper presents how a platform layered on big data and cloud computing technologies can help achieve this goal. The big data platform enables the accumulation of disaster data, models, services, and applications in spatial information infrastructures (SDI), and improves the capabilities of SDI in supporting disaster risk reduction. |
| Databáze: | OpenAIRE |
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