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Remote Sens. 2017, 9(8), 834;

Removal of Thin Cirrus Scattering Effects in Landsat 8 OLI Images Using the Cirrus Detecting Channel

Remote Sensing Division, Code 7232, Naval Research Lab, Washington, DC 20375, USA
Remote Sensing Division, Code 7234, Naval Research Lab, Washington, DC 20375, USA
Author to whom correspondence should be addressed.
Academic Editors: Thomas Ruhtz, Alexander A. Kokhanovsky and Richard Müller
Received: 12 July 2017 / Revised: 24 July 2017 / Accepted: 10 August 2017 / Published: 12 August 2017
(This article belongs to the Special Issue Atmospheric Correction of Remote Sensing Data)
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Thin cirrus clouds frequently contaminate images acquired with either Landsat 7 ETM+ or the earlier generation of Landsat series satellite instruments. The situation has changed since the launch of the Landsat 8 Operational Land Imager (OLI) into space in 2013. OLI implemented a cirrus detecting channel (Band 9) centered within a strong atmospheric water vapor absorption band near 1.375 μm with a width of 30 nm. The specifications for this channel were the same as those specified for the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) in the early 1990s. The OLI Band 9 has been proven to be very effective in detecting and masking thin cirrus-contaminated pixels at the high spatial resolution of 30 m. However, this channel has not yet been routinely used for the correction of thin cirrus effects in other OLI band images. In this article, we describe an empirical technique for the removal of thin cirrus scattering effects in OLI visible near infrared (IR) and shortwave IR (SWIR) spectral regions. We present results from applications of the technique to three OLI data sets. We also discuss issues associated with parallax anomalies in OLI data. View Full-Text
Keywords: remote sensing; cloud; cirrus correction; Landsat 8 remote sensing; cloud; cirrus correction; Landsat 8

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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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Gao, B.-C.; Li, R.-R. Removal of Thin Cirrus Scattering Effects in Landsat 8 OLI Images Using the Cirrus Detecting Channel. Remote Sens. 2017, 9, 834.

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