@InProceedings{Allen_etal2009,
author="Allen, J.E.
and Johnson, A.
and Headley, Rachel M.",
editor="in",
title="Integrated Geospatial Education and Technology Training (iGETT) for workforce development [abs.]",
booktitle="Fall Meeting",
year="2009",
edition="14-18 December 2009",
publisher="American Geophysical Union",
address="Washington, D.C.",
volume="Eos Transactions, Suppl., v. 90, no. 52",
optkeywords="agriculture",
optkeywords="conference abstracts",
optkeywords="data",
optkeywords="development",
optkeywords="disaster",
optkeywords="disaster management",
optkeywords="education",
optkeywords="geographic information",
optkeywords="Geographic Information System",
optkeywords="Geographic Information System (GIS)",
optkeywords="geospatial",
optkeywords="geospatial technology",
optkeywords="information system",
optkeywords="integration",
optkeywords="land",
optkeywords="management",
optkeywords="monitoring",
optkeywords="problem solving",
optkeywords="remote sensing",
optkeywords="resources",
optkeywords="societal benefit",
optkeywords="technology",
optkeywords="training",
optkeywords="tribal college",
optkeywords="urbanization",
abstract="The increasing availability of no-cost remote sensing data and improvements in analysis software have presented an unprecedented opportunity for the integration of geospatial technologies into a wide variety of disciplines for learning and teaching at community colleges and Tribal colleges. These technologies magnify the effectiveness of problem solving in agriculture, disaster management, environmental sciences, urbanization monitoring, and multiple other domains for societal benefit. This session will demonstrate the approach and lessons learned by federal and private industry partners leading a professional development program, {\textquoteleft}{\textquoteleft}Integrated Geospatial Education and Technology Training{\textquoteright}{\textquoteright} (iGETT; http://igett.delmar.edu), 2007-2010. iGETT is funded by the National Science Foundation{\textquoteright}s Advanced Technological Education Program, (NSF DUE 0703185). 40 participants were selected from a nationwide pool and received training in how to understand, identify, download, and integrate federal land remote sensing data into existing Geographic Information Systems programs to address specific issues of concern to the local workforce. Each participant has authored a {\textquoteleft}{\textquoteleft}Learning Unit{\textquoteright}{\textquoteright} that covers at least two weeks of class time. All training resources and Learning Units are publicly available on the iGETT Web site. A follow-on project is under consideration to develop core competencies for the remote sensing technician.",
optnote="exported from refbase (http://eros.usgs.gov/refbase/show.php?record=23330), last updated on Fri, 21 Sep 2012 11:59:54 -0500",
issn="http://www.agu.org/meetings/fm09/waisfm09adv.html",
opturl="http://www.agu.org/meetings/fm09/waisfm09adv.html",
language="FY 2010"
}