Difference between revisions of "Drone Cluster"
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[[File:Drone Cluster Logo 2015.jpg|200px|thumb|center|ESIP Drone Cluster]] | [[File:Drone Cluster Logo 2015.jpg|200px|thumb|center|ESIP Drone Cluster]] | ||
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| + | In response to a growing interest in the use of drones (unmanned aerial systems (UAS)) in the earth sciences, an ESIP cluster formed this year to focus on their development and use. While there are currently various challenges around using UAS, the existing and anticipated advantages mean that firstly the domain is swelling with innovation, and secondly that UASs are expected to become a standard piece of field equipment for scientists. | ||
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| + | As a new cluster we are welcoming participants and input as to how we can best operate within ESIP. | ||
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| + | UAS advantages over traditional approaches: | ||
| + | • Content on demand/currency of data | ||
| + | • Cost savings (10% of traditional methods) | ||
| + | • High resolutions possible (2.5cm) | ||
| + | •Turn around time (hours not months or years) | ||
| + | • Improved Safety | ||
| + | • Lowered impact on the environment being monitored | ||
| + | • All of the above mean an increased ease of observation repeatability | ||
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| + | Challenges | ||
| + | • Steep learning curve | ||
| + | • Need for more reduced weight instrumentation | ||
| + | • Need for new data management and processing techniques | ||
| + | (particularly open source options) | ||
| + | • Regulations | ||
| + | |||
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Revision as of 16:40, July 12, 2015
In response to a growing interest in the use of drones (unmanned aerial systems (UAS)) in the earth sciences, an ESIP cluster formed this year to focus on their development and use. While there are currently various challenges around using UAS, the existing and anticipated advantages mean that firstly the domain is swelling with innovation, and secondly that UASs are expected to become a standard piece of field equipment for scientists.
As a new cluster we are welcoming participants and input as to how we can best operate within ESIP.
UAS advantages over traditional approaches:
• Content on demand/currency of data • Cost savings (10% of traditional methods) • High resolutions possible (2.5cm) •Turn around time (hours not months or years) • Improved Safety • Lowered impact on the environment being monitored • All of the above mean an increased ease of observation repeatability
Challenges • Steep learning curve • Need for more reduced weight instrumentation • Need for new data management and processing techniques
(particularly open source options)
• Regulations
News
|
Activities |
Get Involved
Lindsay Barbieri (Bar) - lkbar@uvm.edu |
Resources |
