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Impact of the ARSET Program on Use of Remote-Sensing Data

Joint Center for Earth Systems Technology, University of Maryland Baltimore County, 5523 Research Park Drive, Suite 140, Baltimore, MD 21228, USA
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Universities Space Research Association, Science and Technology Institute, 320 Sparkman Drive, Huntsville, AL 35805, USA
Science Systems and Applications, 10210 Greenbelt Road, Suite 600, Lanham, MD 20706, USA
Bay Area Environmental Research Institute, P.O. Box 25 Moffett, CA 94035, USA
Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Goddard Earth Sciences Technology and Research, Morgan State University, 1700 East Cold Spring Lane, Baltimore, MD 21251, USA
Department of Environmental Sciences, State University of New York College at Buffalo, 1300 Elmwood Avenue, Buffalo, NY 14222, USA
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(6), 261;
Received: 23 April 2019 / Revised: 16 May 2019 / Accepted: 26 May 2019 / Published: 4 June 2019
(This article belongs to the Special Issue Education and Training in Applied Remote Sensing)
We show that training activities conducted through the National Aeronautics and Space Administration (NASA)’s Applied Remote-Sensing Training (ARSET) program led to a significant increase in remote-sensing data use for decision-making. Our findings are based on survey data collected from 1041 ARSET participants from 117 countries who attended ARSET trainings between 2013 and 2016. To assess the impact of the ARSET program, we analyzed changes in three metrics. Results show that 83% of all respondents increased their knowledge of remote-sensing data products at least moderately, 79% increased their ability to access data, and 73% increased their ability to make decisions. We also examined how respondents are using remote-sensing data across 40 specific work tasks ranging from research to decision support applications. More than 50% of respondents reported an increase in data use for all except two of the tasks. ARSET will use these findings, together with participant data on future training needs, to set future directions for the program. View Full-Text
Keywords: training; remote sensing; decision support training; remote sensing; decision support
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MDPI and ACS Style

Prados, A.I.; Carleton-Hug, A.; Gupta, P.; Mehta, A.; Blevins, B.; Schmidt, C.; Barbato, D.G.; McCullum, A.J.; Hook, E.; Podest, E.; Follette-Cook, M.; Hudson-Odoi, S.; Kinsey, T. Impact of the ARSET Program on Use of Remote-Sensing Data. ISPRS Int. J. Geo-Inf. 2019, 8, 261.

AMA Style

Prados AI, Carleton-Hug A, Gupta P, Mehta A, Blevins B, Schmidt C, Barbato DG, McCullum AJ, Hook E, Podest E, Follette-Cook M, Hudson-Odoi S, Kinsey T. Impact of the ARSET Program on Use of Remote-Sensing Data. ISPRS International Journal of Geo-Information. 2019; 8(6):261.

Chicago/Turabian Style

Prados, Ana I., Annelise Carleton-Hug, Pawan Gupta, Amita Mehta, Brock Blevins, Cynthia Schmidt, David G. Barbato, Amber Jean McCullum, Elizabeth Hook, Erika Podest, Melanie Follette-Cook, Selwyn Hudson-Odoi, and Tom Kinsey. 2019. "Impact of the ARSET Program on Use of Remote-Sensing Data" ISPRS International Journal of Geo-Information 8, no. 6: 261.

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