DocumentCode
3690914
Title
The role of large constellations of small satellites in emergency response situations
Author
Oesa A. Weaver;John P. Kerekes
Author_Institution
Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, NY 14623 USA
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
4200
Lastpage
4203
Abstract
After Malaysian Airlines Flight 370 (MH370) disappeared over the Indian Ocean, claims were made that had the planned Planet Labs small satellite constellation been complete, the wreckage would have been found quickly. The Planet Labs system, when complete, will provide once daily images of every point on Earth at three to five meter spatial resolution. The possibility of using such a system to help in the search for aircraft downed in the ocean was examined, taking into account the probability that the image would be captured by the system and the likelihood that wreckage would be identifiable in such an image. Given the conditions of image capture and some information about the rate at which aircraft wreckage will sink, it was found that the probability of capturing an image of the wreckage was 6.92×10-4 if the wreckage sank in 30 minutes, and 1.725×10-6 if the wreckage sank in 90 seconds. If the image was captured, human analysts were able to identify the wreckage in simulated imagery with a probability of detection of 0.8 and a probability of false alarm of 0.0. Machine analysis proved less accurate, resulting in PD = 0.73 and PFA = 0.33. Given the low probability that the aircraft wreckage could be imaged using a satellite system, even under the optimistic assumption that the aircraft crashed entirely intact and sank in 30 minutes, it is unlikely that a Planet Labs-like system could have assisted in the search for MH370.
Keywords
"Aircraft","Satellites","Clouds","Oceans","Computer crashes","Planets","Imaging"
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN
2153-6996
Electronic_ISBN
2153-7003
Type
conf
DOI
10.1109/IGARSS.2015.7326752
Filename
7326752
Link To Document