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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jensen, A.M. YangQuan Chen McKee, M. Hardy, T. Barfuss, S.L. |
| Copyright Year | 2009 |
| Description | Author affiliation: Center for Self-Organizing and Intelligent Systems (CSOIS) Utah State University 4120 Old Main Hill Logan, UT, USA (YangQuan Chen) || Utah Water Research Laboratory (UWRL) Utah State University 8200 Old Main Hill Logan, UT, USA (Jensen, A.M.; McKee, M.; Hardy, T.; Barfuss, S.L.) |
| Abstract | Data acquired by aircraft, satellites and other sources of remote sensing has become very important for many applications. Even though current platforms for remote sensing have proved to be robust, they can also be expensive, have low spatial and temporal resolution, with a long turnover time. At Utah State University (USU), there is an ongoing project to develop a new small, low-cost, high resolution, multispectral remote sensing platform which is completely autonomous, easy to use and has a fast turnover time. Many new developments have been added to AggieAir which have improved the flight performance and flexibility, increased the flight time and payload capacity. Furthermore, these developments have made it possible to carry an imaging system with more quality and resolution. With these new developments, AggieAir has begun work with many projects from areas in agriculture, riparian habitat mapping, highway and road surveying and fish tracking. Development on AggieAir continues with future plans with a thermal inferred camera, an in house iner-tial measurement unit (IMU) and better navigation to handle higher winds. |
| File Size | 843653 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417547 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Remote sensing Spatial resolution Aircraft Satellites Robustness Payloads High-resolution imaging Image resolution Agriculture Road transportation Remote Sensing Unmanned Aerial Vehicle UAV |
| Content Type | Text |
| Resource Type | Article |
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