HR: 1340h
AN: H23D-1162    [Abstracts]
TI: Successful Detection of Floods in Real Time Onboard EO1 Through NASA's ST6 Autonomous Sciencecraft Experiment (ASE)
AU: * Ip, F
EM: felipe@hwr.arizona.edu
AF: University of Arizona Dept. of Hydrology and Water Resources, 1133 E. North Campus Drive Harshbarger Bldg. 11, Rm 122 Hydrology and Water Resources University of Arizona , Tucson, AZ 85721 AU: Dohm, J M
EM: jmd@hwr.arizona.edu
AF: University of Arizona Dept. of Hydrology and Water Resources, 1133 E. North Campus Drive Harshbarger Bldg. 11, Rm 122 Hydrology and Water Resources University of Arizona , Tucson, AZ 85721 AU: Baker, V R
EM: baker@hwr.arizona.edu
AF: University of Arizona Dept. of Hydrology and Water Resources, 1133 E. North Campus Drive Harshbarger Bldg. 11, Rm 122 Hydrology and Water Resources University of Arizona , Tucson, AZ 85721 AU: Castano, R
EM: becky@aig.jpl.nasa.gov
AF: Jet Propulsion Laboratory, Jet Propulsion Laboratory, Pasadena, CA 91109
AU: Cichy, B
EM: ben.cichy@jpl.nasa.gov
AF: Jet Propulsion Laboratory, Jet Propulsion Laboratory, Pasadena, CA 91109
AU: Chien, S
EM: chien@aig.jpl.nasa.gov
AF: Jet Propulsion Laboratory, Jet Propulsion Laboratory, Pasadena, CA 91109
AU: Davies, A
AF: Jet Propulsion Laboratory, Jet Propulsion Laboratory, Pasadena, CA 91109
AU: Doggett, T
EM: thomas.doggett@asu.edu
AF: Arizona State University Dept. of Geological Sciences, Arizona State University Box 871404 , Tempe, AZ 85287
AU: Greeley, R
EM: ron.greeley@asu.edu
AF: Arizona State University Dept. of Geological Sciences, Arizona State University Box 871404 , Tempe, AZ 85287
AB: For the first time, a spacecraft has the ability to autonomously detect and react to flood events. Flood detection and the investigation of flooding dynamics in real time from space have never been done before at least not until now. Part of the challenge for the hydrological community has been the difficulty of obtaining cloud-free scenes from orbit at sufficient temporal and spatial resolutions to accurately assess flooding. In addition, the large spatial extent of drainage networks coupled with the size of the data sets necessary to be downlinked from satellites add to the difficulty of monitoring flooding from space. Technology developed as part of the Autonomous Sciencecraft Experiment (ASE) creates the new capability to autonomously detect, assess, and react to dynamic events, thereby enabling the monitoring of transient processes such as flooding in real time. In addition to being able to autonomously process the imaged data onboard the spacecraft for the first time and search the data for specific spectral features, the ASE Science Team has developed and tested change detection algorithms for the Hyperion spectrometer on EO-1. For flood events, if a change is detected in the onboard processed image (i.e. an increase in the number of ­wet­" pixels relative to a baseline image where the system is in normal flow condition or relatively dry), the spacecraft is autonomously retasked to obtain additional scenes. For instance, in February 2004 a rare flooding of the Australian Diamantina River was captured by EO-1. In addition, in August during ASE onboard testing a Zambezi River scene in Central Africa was successfully triggered by the classifier to autonomously take another observation. Yet another successful trigger-response flooding test scenario of the Yellow River in China was captured by ASE on 8/18/04. These exciting results pave the way for future smart reconnaissance missions of transient processes on Earth and beyond. Acknowledgments: We are grateful to the City of Tucson and Tucson Water for their support and cooperation.
UR: http://uanews.org/cgi-bin/WebObjects/UANews.woa/3/wa/EngrStoryDetails?ArticleID=9367
DE: 6979 Space and satellite communication
DE: 1894 Instruments and techniques
DE: 1694 Instruments and techniques
DE: 1821 Floods
DE: 1640 Remote sensing
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting