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Author Morris, Robert A. ♦ Oza, Nikunj ♦ Keely, Leslie ♦ Kürklü, Elif
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Observation Activity ♦ Multi-week Earth Science Investigation ♦ Previous Observation ♦ Mobile Sensor ♦ Earth Science Model ♦ Future Observation ♦ Flight Planner ♦ Interesting Target ♦ Improve Earth Observation Flight Planning ♦ Data Analysis ♦ Data Visualization ♦ Data Mining Identifies Discrepancy ♦ Earth Science Investigation
Description This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigations. Data mining identifies discrepancies between previous observations and predictions made by Earth science models. Locations of these discrepancies become interesting targets for future observations. Such targets become goals used by a flight planner to generate the observation activities. The cycle of observation, data analysis and planning is repeated continuously throughout a multi-week Earth science investigation.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2008-01-01
Publisher Institution AAAI Conference on Artificial Intelligence