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Intelligent Observation Strategies for Geosynchronous Remote Sensing for Natural HazardsGeosynchronous satellites offer a unique perspective for monitoring environmental factors important to understanding natural hazards and supporting the disasters management life cycle, namely forecast, detection, response, recovery and mitigation. In the NASA decadal survey for Earth science, the GEO-CAPE mission was proposed to address coastal and air pollution events in geosynchronous orbit, complementing similar initiatives in Asia by the South Koreans and by ESA in Europe, thereby covering the northern hemisphere. In addition to analyzing the challenges of identifying instrument capabilities to meet the science requirements, and the implications of hosting the instrument payloads on commercial geosynchronous satellites, the GEO-CAPE mission design team conducted a short study to explore strategies to optimize the science return for the coastal imaging instrument. The study focused on intelligent scheduling strategies that took into account cloud avoidance techniques as well as onboard processing methods to reduce the data storage and transmission loads. This paper expands the findings of that study to address the use of intelligent scheduling techniques and near-real time data product acquisition of both the coastal water and air pollution events. The topics include the use of onboard processing to refine and execute schedules, to detect cloud contamination in observations, and to reduce data handling operations. Analysis of state of the art flight computing capabilities will be presented, along with an assessment of cloud detection algorithms and their performance characteristics. Tools developed to illustrate operational concepts will be described, including their applicability to environmental monitoring domains with an eye to the future. In the geostationary configuration, the payload becomes a networked thing with enough connectivity to exchange data seamlessly with users. This allows the full field of view to be sensed at very high rate under the control of ground infrastructure, resulting in improved efficiencies, accuracy and science benefits. Hence a remote sensing payload and its data may become one of millions of connected objects in the emerging Internet of Things (IoT), and be as easily accessible by a users smart phone as any other smart appliance.
Document ID
20150023590
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Moe, Karen (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Cappleare, Patrice (Vightel Corp. Ellicott City, MD, United States)
Frye, Stuart (Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Greenbelt, MD, United States)
LeMoigne, Jacqueline (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Mandl, Daniel (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Flatley, Thomas (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Geist, Alessandro (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
December 31, 2015
Publication Date
December 14, 2015
Subject Category
Instrumentation And Photography
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN28662
Meeting Information
Meeting: American Geophysical Union 2015 Fall Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 14, 2015
End Date: December 18, 2015
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNG12CR31C
CONTRACT_GRANT: NNG10CR25C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
0
onboard processing
0

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