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Vicarious Calibration Methods for Optical Remote Sensing Satellites

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  • Institute : Indian Institute of Science
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Speaker: Dr. Dennis Helder
Time: 18 May 2018 (Friday) @ 3:00 pm
Venue: DESE Auditorium , IISc
Radiometric calibration of optical remote sensing satellite sensors is a necessary step so that the data acquired by these systems can be placed on an absolute scale of radiance or reflectance. This fundamental step converts the raw digital numbers recorded by the satellite into physical units and thus turns a ‘pretty picture’ into a scientific data set. There are two basic approaches to performing radiometric calibration. The first is to design calibration systems into the instrument itself. Often this is done by incorporating diffuser panels and/or lamps into the instrument. However, this approach adds significant additional cost and weight. Thus, many satellites do not incorporate such onboard systems. The second approach is most often termed ‘vicarious calibration’ and it involves using information acquired from a distance such as information from the earth imagery itself. The South Dakota State University Image Processing Laboratory has specialized in vicarious calibration of remote sensing imagery for over 25 years. In this presentation the fundamental concepts of vicarious calibration will be presented, examples of the surface reflectance method and the pseudo invariant calibration site (PICS) method will be provided, and application of these methods to the Landsat image archive, from 1972 to the present, will be given.
About Speaker:
Dr. Dennis Helder has been involved with the characterization and calibration of space borne and airborne  remote sensing imaging systems for over 25 years. Initial work focused on characterization and removal of radiometric artifacts of the Landsat TM and MSS sensors. More recent work has emphasized development of vicarious radiometric calibration approaches for a variety of optical remote sensing systems as well as on-orbit point spread function estimation. Dr. Helder has served on several NASA and USGS EROS science teams including Landsat 7, Landsat 8, and EO-1. He is currently Associate Dean for Engineering Research and Distinguished Professor of Electrical Engineering at South Dakota State University and is also on detail to USGS EROS as director of the EROS CalVal Center of Excellence.