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Remote Sens. 2015, 7(1), 430-446; doi:10.3390/rs70100430

Radiometric Non-Uniformity Characterization and Correction of Landsat 8 OLI Using Earth Imagery-Based Techniques

Image Processing Lab, Department of Electrical Engineering and Computer Science, South Dakota State University, 315 Daktronics Hall, P.O. Box 2219 Brookings, SD 57007, USA
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Academic Editors: Brian Markham, James C. Storey, Ron Morfitt and Prasad S. Thenkabail
Received: 31 July 2014 / Accepted: 15 December 2014 / Published: 31 December 2014
(This article belongs to the Special Issue Landsat-8 Sensor Characterization and Calibration)
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Abstract

Landsat 8 is the first satellite in the Landsat mission to acquire spectral imagery of the Earth using pushbroom sensor instruments. As a result, there are almost 70,000 unique detectors on the Operational Land Imager (OLI) alone to monitor. Due to minute variations in manufacturing and temporal degradation, every detector will exhibit a different behavior when exposed to uniform radiance, causing a noticeable striping artifact in collected imagery. Solar collects using the OLI’s on-board solar diffuser panels are the primary method of characterizing detector level non-uniformity. This paper reports on an approach for using a side-slither maneuver to estimate relative detector gains within each individual focal plane module (FPM) in the OLI. A method to characterize cirrus band detector-level non-uniformity using deep convective clouds (DCCs) is also presented. These approaches are discussed, and then, correction results are compared with the diffuser-based method. Detector relative gain stability is assessed using the side-slither technique. Side-slither relative gains were found to correct streaking in test imagery with quality comparable to diffuser-based gains (within 0.005% for VNIR/PAN; 0.01% for SWIR) and identified a 0.5% temporal drift over a year. The DCC technique provided relative gains that visually decreased striping over the operational calibration in many images. View Full-Text
Keywords: side-slither; relative gain; radiometric calibration; Landsat 8; OLI; deep convective clouds; yaw maneuver side-slither; relative gain; radiometric calibration; Landsat 8; OLI; deep convective clouds; yaw maneuver
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Pesta, F.; Bhatta, S.; Helder, D.; Mishra, N. Radiometric Non-Uniformity Characterization and Correction of Landsat 8 OLI Using Earth Imagery-Based Techniques. Remote Sens. 2015, 7, 430-446.

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