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Proceedings Paper

Over-water atmospheric correction for Landsat's new OLI sensor
Author(s): Aaron D. Gerace; John R. Schott
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Paper Abstract

The Operational Land Imager (OLI) is a new sensor being developed by the joint USGS-NASA Landsat Data Continuity Mission that exhibits an exciting potential to be used for monitoring Case 2 waters. With upgrades such as a Coastal Aerosol band, 12 bit quantization, and improved signal-to-noise, preliminary studies indicate that OLI should be radiometrically superior to its predecessors. Considering that OLI will have the traditional 30m resolution of other Landsat instruments, and that its data is free to the community, this sensor should be an invaluable tool for long-term monitoring of water quality in Case 2 waters, especially in the nearshore environment. Through the use of simulated data, previous research indicates that OLI can retrieve the levels of three main water quality indicators (chlorophyll, suspended materials, and colored-dissolved organic matter (CDOM)) to within 7% of their expected range when atmospheric effects are ignored. Since the atmosphere typically represents a major source of error when quantifying water constituents from space, significant efforts have been made to develop techniques that will accurately remove atmospheric effects from OLI data. As OLI is an instrument designed for land-based studies, it will not be equipped with the appropriate bands required by traditional water-based atmospheric correction algorithms. This work presents a new atmospheric correction technique that was developed specifically for the OLI instrument. Preliminary results indicate that when atmospheric effects are included, OLI can retrieve the levels of the three water parameters to within 15% of their expected range, which is within the desired error range for this type of research.

Paper Details

Date Published: 11 June 2012
PDF: 9 pages
Proc. SPIE 8372, Ocean Sensing and Monitoring IV, 837211 (11 June 2012); doi: 10.1117/12.919304
Show Author Affiliations
Aaron D. Gerace, Rochester Institute of Technology (United States)
John R. Schott, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8372:
Ocean Sensing and Monitoring IV
Weilin Will Hou; Robert Arnone, Editor(s)

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