Autonomous multisensor coordination: the science goal monitor

Anuradha P. Koratkar; Sandra Grosvenor; John Jung; Jenny Geiger

doi:10.1117/12.578491

11 January 2005 Autonomous multisensor coordination: the science goal monitor

Anuradha P. Koratkar, Sandra Grosvenor, John Jung, Jenny Geiger

Author Affiliations +

Proceedings Volume 5659, Enabling Sensor and Platform Technologies for Spaceborne Remote Sensing; (2005) https://doi.org/10.1117/12.578491
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

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.

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Anuradha P. Koratkar, Sandra Grosvenor, John Jung, and Jenny Geiger "Autonomous multisensor coordination: the science goal monitor", Proc. SPIE 5659, Enabling Sensor and Platform Technologies for Spaceborne Remote Sensing, (11 January 2005); https://doi.org/10.1117/12.578491

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