Running Time: 00:49:39
Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. First launched in 1972, for over four decades Landsat has provided a unique resource for those who work in water resources, agriculture, geology, forestry, regional planning, education, mapping, and global change research. Landsat images are also invaluable for emergency response and disaster relief. This webinar will provide a basic overview of the Landsat satellite and imaging sensors, where and how to acquire the freely available data, how to prepare Landsat data for use in ArcGIS, and how to calculate some derivative information.
CLEAR Co-Director, Professor of Geomatics
Dan Civco is a Professor Emeritus of Geomatics in the Department of Natural Resources and the Environment at the University of Connecticut. Dan He has more than 35 years experience as an earth resources scientist and educator specializing in remote sensing and GIS applications. He has been involved extensively in research addressing both inland and coastal wetland resources, land use mapping and change analysis, impervious surface detection, and natural resources inventory and analysis. Further, he has been involved in algorithm development and refinement for processing remote sensing and other geospatial data. Dan was the Director for Research of CLEAR from its inception in 2002 until his retirement in 2016, and he is the founder of the Laboratory for Earth Resources Information Systems (LERIS). Dan cannot be replaced, but part of his legacy is a small cadre of remote sensing experts at UConn that continue to do innovative work in the Civco tradition.
Research Associate, LERIS
James Hurd is a Remote Sensing Specialist for the University of Connecticut Department of Natural Resources and the Environment (NRE), and serves as the Director of NRE's Laboratory for Earth Resources Information Systems (LERIS). Established in 1982, LERIS is the principal center at UConn for conducting remote sensing and GIS research oriented toward natural resources, ecology, and the environment.
James received both his BS and MS degrees in natural resources from the University of Connecticut with a focus on remote sensing and geospatial technology. Research interests focus on the use of remote sensing and geospatial technology for the detection of land cover, land cover change and landscape characterization.