Share Email Print
cover

Proceedings Paper

Autonomous multisensor coordination: the science goal monitor
Author(s): Anuradha P. Koratkar; Sandra Grosvenor; John Jung; Jenny Geiger
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Next-generation science and exploration systems will employ new observation strategies that will use multiple sensors in a dynamic environment to provide high quality monitoring, self-consistent analyses and informed decision making. The Science Goal Monitor (SGM) is a prototype software tool being developed to explore the nature of automation necessary to enable dynamic observing of earth phenomenon. The tools being developed in SGM improve our ability to autonomously monitor multiple independent sensors and coordinate reactions to better observe the dynamic phenomena. The SGM system enables users to specify events of interest and how to react when an event is detected. The system monitors streams of data to identify occurrences of key events previously specified by the scientist/user. When an event occurs, the system autonomously coordinates the execution of the users' desired reactions between different sensors. The information can be used to rapidly respond to a variety of fast temporal events. Investigators will no longer have to rely on after-the-fact data analysis to determine what happened. This paper describes a series of prototype demonstrations that we have developed using SGM and NASA's Earth Observing-1 (EO-1) satellite and Earth Observing Systems' Aqua/Terra spacecrafts' MODIS instrument. Our demonstrations show the promise of coordinating data from different sources, analyzing the data for a relevant event, autonomously updating and rapidly obtaining a follow-on relevant image. SGM is being used to investigate forest fires, floods and volcanic eruptions. We are now identifying new earth science scenarios that will have more complex SGM reasoning. By developing and testing a prototype in an operational environment, we are also establishing and gathering metrics to gauge the success of automating science campaigns.

Paper Details

Date Published: 11 January 2005
PDF: 8 pages
Proc. SPIE 5659, Enabling Sensor and Platform Technologies for Spaceborne Remote Sensing, (11 January 2005); doi: 10.1117/12.578491
Show Author Affiliations
Anuradha P. Koratkar, Univ. of Maryland/Baltimore County (United States)
Sandra Grosvenor, Science Systems & Applications, Inc., NASA Goddard Space Flight Ctr. (United States)
John Jung, NASA Goddard Space Flight Ctr. (United States)
Jenny Geiger, NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 5659:
Enabling Sensor and Platform Technologies for Spaceborne Remote Sensing
George J. Komar; Jinxue Wang; Toshiyoshi Kimura, Editor(s)

© SPIE. Terms of Use
Back to Top