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| Content Provider | ACM Digital Library |
|---|---|
| Author | Montgomery, Kevin Mundt, Carsten |
| Abstract | The vision of an integrated Earth observation system to help protect and sustain the planet and its inhabitants is significant and timely, and thus has been identified recently by many organizations. Clearly, the societal benefits of global integrated monitoring are many: to understand how environment and humans are linked, to protect and monitor resources (water supply, weather, oceans) and predict and adapt to their change, to provide for sustainable development, and to reduce costs/impacts of disasters and provide for an effective and intelligent response. The requirements of such a system are that it be able to collect observations (remote sensing/satellite data and in-situ sensors), manage data (archive, model), interface with users (user- and context-specific display), and that it enhance human capacity by providing for research/training, collaboration and ultimately decision support. Further, in order to be effective, it must also be easily usable by a wide cross section of users, provide for advanced analysis and visualization with interaction and collaboration tools over the Internet; be open source, protocol, and information; and future-proof, modular and extendable as new needs and technologies arise. Intelesense Technologies was spun off from Stanford University to provide worldwide integrated monitoring of the environment and its' inhabitants, to understand their interrelationships and improve our ability to protect the planet and its people. A global network of wireless sensor devices transmit their data to grid-based computing servers where they are integrated with hundreds of thousands of other data sources to help to better understand their interrelationships. This data, along with thousands of sources from NASA, USGS, Google, and others are provided within a federated, open system of systems, with a collaborative, worldwide GIS portal to provide interactive exploration of the world and its data. The goal is to collaborate across government, academia, and with industrial partners to empower the researcher, scientist, and policymaker with data, analysis, and information leading to a better understanding. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450300315 |
| DOI | 10.1145/1823854.1823888 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-06-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Cloud computing Visualization Modeling and simulation Data integration Sensors Environmental monitoring |
| Content Type | Text |
| Resource Type | Article |
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