Leveraging Space and Ground Assets in A Sensorweb for Scientific Monitoring: Early Results and Opportunities for the Future
| Autor: | Vishwa Shah, Joel Mueting, Steve Chien, James C. Boerkoel, Daniel Wang, Vivek Vittaldev, James J. Mason, Ashley Davies, Ignacio Zuleta |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020301 aerospace & aeronautics
0209 industrial biotechnology geography geography.geographical_feature_category Computer science 02 engineering and technology Volcanism Space (commercial competition) Data science Sensor web Flooding (computer networking) 020901 industrial engineering & automation 0203 mechanical engineering Early results Volcano Resource allocation |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9324049 |
| Popis: | Increased space and ground sensing is enabling dramatic new measurements of a wide range of Earth Science and Applied Earth Science phenomena, including: volcanism, flooding, wildfires, weather, and many other phenomena. New challenges exist to rapidly assimilate available data and to optimize measurements (e.g. direct assets) to best observe these complex and dynamic spatiotemporal phenomena. Artificial Intelligence offers the potential to assist in data interpretation and resource allocation to best allocate sensing assets. We describe efforts to build and experiment with such “sensorweb” systems and offer some direction for the future sensorweb observation systems. |
| Databáze: | OpenAIRE |
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