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Open AccessArticle

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