A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations

The effect of cloud parallax shift occurs in satellite imaging, particularly for high angles of satellite observations. This study demonstrates new methods of parallax effect correction for clouds observed by geostationary satellites. The analytical method that could be found in literature, namely t...

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Main Author: Tomasz Bieliński
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/3/365
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author Tomasz Bieliński
author_facet Tomasz Bieliński
author_sort Tomasz Bieliński
collection DOAJ
description The effect of cloud parallax shift occurs in satellite imaging, particularly for high angles of satellite observations. This study demonstrates new methods of parallax effect correction for clouds observed by geostationary satellites. The analytical method that could be found in literature, namely the Vicente et al./Koenig method, is presented at the beginning. It approximates a cloud position using an ellipsoid with semi-axes increased by the cloud height. The error values of this method reach up to 50 meters. The second method, which is proposed by the author, is an augmented version of the Vicente et al./Koenig approach. With this augmentation, the error can be reduced to centimeters. The third method, also proposed by the author, incorporates geodetic coordinates. It is described as a set of equations that are solved with the numerical method, and its error can be driven to near zero by adjusting the count of iterations. A sample numerical solution procedure with application of the Newton method is presented. Also, a simulation experiment that evaluates the proposed methods is described in the paper. The results of an experiment are described and contrasted with current technology. Currently, operating geostationary Earth Observation (EO) satellite resolutions vary from 0.5 km up to 8 km. The pixel sizes of these satellites are much greater than for maximal error of the least precise method presented in this paper. Therefore, the chosen method will be important when the resolution of geostationary EO satellites reaches 50 m. To validate the parallax correction, procedure data from on-ground radars and the Meteosat Second Generation (MSG) satellite, which describes stormy events, was compared before and after correction. Comparison was performed by correlating the logarithm of the cloud optical thickness (COT) with radar reflectance in dBZ (radar reflectance − Z in logarithmic form).
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spelling doaj.art-3a62cb481e054bc6ba0a416a4cf1b37b2022-12-22T04:05:54ZengMDPI AGRemote Sensing2072-42922020-01-0112336510.3390/rs12030365rs12030365A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar ObservationsTomasz Bieliński0Department of Geoinformatics, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, PolandThe effect of cloud parallax shift occurs in satellite imaging, particularly for high angles of satellite observations. This study demonstrates new methods of parallax effect correction for clouds observed by geostationary satellites. The analytical method that could be found in literature, namely the Vicente et al./Koenig method, is presented at the beginning. It approximates a cloud position using an ellipsoid with semi-axes increased by the cloud height. The error values of this method reach up to 50 meters. The second method, which is proposed by the author, is an augmented version of the Vicente et al./Koenig approach. With this augmentation, the error can be reduced to centimeters. The third method, also proposed by the author, incorporates geodetic coordinates. It is described as a set of equations that are solved with the numerical method, and its error can be driven to near zero by adjusting the count of iterations. A sample numerical solution procedure with application of the Newton method is presented. Also, a simulation experiment that evaluates the proposed methods is described in the paper. The results of an experiment are described and contrasted with current technology. Currently, operating geostationary Earth Observation (EO) satellite resolutions vary from 0.5 km up to 8 km. The pixel sizes of these satellites are much greater than for maximal error of the least precise method presented in this paper. Therefore, the chosen method will be important when the resolution of geostationary EO satellites reaches 50 m. To validate the parallax correction, procedure data from on-ground radars and the Meteosat Second Generation (MSG) satellite, which describes stormy events, was compared before and after correction. Comparison was performed by correlating the logarithm of the cloud optical thickness (COT) with radar reflectance in dBZ (radar reflectance − Z in logarithmic form).https://www.mdpi.com/2072-4292/12/3/365parallaxcloudearth observationgeostationary satellitemeteorological radarmsgseviri
spellingShingle Tomasz Bieliński
A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations
Remote Sensing
parallax
cloud
earth observation
geostationary satellite
meteorological radar
msg
seviri
title A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations
title_full A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations
title_fullStr A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations
title_full_unstemmed A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations
title_short A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations
title_sort parallax shift effect correction based on cloud height for geostationary satellites and radar observations
topic parallax
cloud
earth observation
geostationary satellite
meteorological radar
msg
seviri
url https://www.mdpi.com/2072-4292/12/3/365
work_keys_str_mv AT tomaszbielinski aparallaxshifteffectcorrectionbasedoncloudheightforgeostationarysatellitesandradarobservations
AT tomaszbielinski parallaxshifteffectcorrectionbasedoncloudheightforgeostationarysatellitesandradarobservations