Next Article in Journal
Appraisal of Opportunities and Perspectives for the Systematic Condition Assessment of Heritage Sites with Copernicus Sentinel-2 High-Resolution Multispectral Imagery
Next Article in Special Issue
Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II
Previous Article in Journal
Railway Track Condition Assessment at Network Level by Frequency Domain Analysis of GPR Data
Previous Article in Special Issue
Atmospheric Correction Inter-Comparison Exercise
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Remote Sens. 2018, 10(4), 560; https://doi.org/10.3390/rs10040560

A General Approach to Enhance Short Wave Satellite Imagery by Removing Background Atmospheric Effects

Swedish Meteorological and Hydrological Institute (SMHI), SE-60176 Norrköping, Sweden
*
Author to whom correspondence should be addressed.
Received: 2 February 2018 / Revised: 23 March 2018 / Accepted: 26 March 2018 / Published: 5 April 2018
(This article belongs to the Special Issue Atmospheric Correction of Remote Sensing Data)
View Full-Text   |   Download PDF [17357 KB, uploaded 3 May 2018]   |  

Abstract

Atmospheric interaction distorts the surface signal received by a space-borne instrument. Images derived from visible channels appear often too bright and with reduced contrast. This hampers the use of RGB imagery otherwise useful in ocean color applications and in forecasting or operational disaster monitoring, for example forest fires. In order to correct for the dominant source of atmospheric noise, a simple, fast and flexible algorithm has been developed. The algorithm is implemented in Python and freely available in PySpectral which is part of the PyTroll family of open source packages, allowing easy access to powerful real-time image-processing tools. Pre-calculated look-up tables of top of atmosphere reflectance are derived by off-line calculations with RTM DISORT as part of the LibRadtran package. The approach is independent of platform and sensor bands, and allows it to be applied to any band in the visible spectral range. Due to the use of standard atmospheric profiles and standard aerosol loads, it is possible just to reduce the background disturbance. Thus signals from excess aerosols become more discernible. Examples of uncorrected and corrected satellite images demonstrate that this flexible real-time algorithm is a useful tool for atmospheric correction. View Full-Text
Keywords: atmospheric correction; pytroll; satellite remote sensing; surface reflectance; rgb images; ocean color atmospheric correction; pytroll; satellite remote sensing; surface reflectance; rgb images; ocean color
Figures

Figure 1

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).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Scheirer, R.; Dybbroe, A.; Raspaud, M. A General Approach to Enhance Short Wave Satellite Imagery by Removing Background Atmospheric Effects. Remote Sens. 2018, 10, 560.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top