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.
[1]
David R. Doelling,et al.
The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique
,
2013,
IEEE Transactions on Geoscience and Remote Sensing.
[2]
Bradley G. Henderson,et al.
Relative radiometric correction of QuickBird imagery using the side-slither technique on orbit
,
2004,
SPIE Optics + Photonics.
[3]
W. Heyns,et al.
BUILDING A CALIBRATION AND VALIDATION SYSTEM FOR THE PROBA-V SATELLITE MISSION
,
2010
.
[4]
Andreas Brunn,et al.
Radiometric correction of RapidEye imagery using the on-orbit side-slither method
,
2011,
Remote Sensing.
[5]
Patrick Minnis,et al.
On the use of deep convective clouds to calibrate AVHRR data
,
2004,
SPIE Optics + Photonics.
[6]
D. Helder,et al.
ADVANCED LAND IMAGER RELATIVE GAIN CHARACTERIZATION AND CORRECTION
,
2005
.
[7]
Edward J. Knight,et al.
Landsat-8 Operational Land Imager Design, Characterization and Performance
,
2014,
Remote. Sens..
[8]
Lawrence Ong,et al.
Landsat-8 Operational Land Imager Radiometric Calibration and Stability
,
2014,
Remote. Sens..