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Automated Improvement of Geolocation Accuracy in AVHRR Data Using a Two-Step Chip Matching Approach—A Part of the TIMELINE Preprocessor.

Dietz, Andreas and Frey, Corinne and Ruppert, Thomas and Bachmann, Martin and Künzer, Claudia and Dech, Stefan (2017) Automated Improvement of Geolocation Accuracy in AVHRR Data Using a Two-Step Chip Matching Approach—A Part of the TIMELINE Preprocessor. Remote Sensing, 9 (303), pp. 1-17. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs9040303 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/9/4/303/

Abstract

The geolocation of Advanced Very High Resolution Radiometer (AVHRR) data is known to be imprecise due to minor satellite position and orbit uncertainties. These uncertainties lead to distortions once the data are projected based on the provided orbit parameters. This can cause geolocation errors of up to 10 km per pixel which is an obstacle for applications such as time series analysis, compositing/mosaicking of images, or the combination with other satellite data. Therefore, a fusion of two techniques to match the data in orbit projection has been developed to overcome this limitation, even without the precise knowledge of the orbit parameters. Both techniques attempt to find the best match between small image chips taken from a reference water mask in the first, and from a median Normalized Difference Vegetation Index (NDVI) mask in the second round. This match is determined shifting around the small image chips until the best correlation between reference and satellite data source is found for each respective image part. Only if both attempts result in the same shift in any direction, the position in the orbit is included in a third order polynomial warping process that will ultimately improve the geolocation accuracy of the AVHRR data. The warping updates the latitude and longitude layers and the contents of the data layers itself remain untouched. As such, original sensor measurements are preserved. An included automated quality assessment generates a quality layer that informs about the reliability of the matching.

Item URL in elib:https://elib.dlr.de/111633/
Document Type:Article
Title:Automated Improvement of Geolocation Accuracy in AVHRR Data Using a Two-Step Chip Matching Approach—A Part of the TIMELINE Preprocessor.
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dietz, Andreasandreas.dietz (at) dlr.deUNSPECIFIED
Frey, Corinnecorinne.frey (at) dlr.deUNSPECIFIED
Ruppert, Thomasthomas.ruppert (at) dlr.deUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Künzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:23 March 2017
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI :10.3390/rs9040303
Page Range:pp. 1-17
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:AVHRR; chip matching; geolocation; georeferencing; TIMELINE; NDVI; Water mask; Preprocessing; Multispectral;
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
German Remote Sensing Data Center > Leitungsbereich DFD
German Remote Sensing Data Center > Science Communication and Visualization
Deposited By: Dietz, Andreas
Deposited On:27 Mar 2017 13:55
Last Modified:14 Dec 2019 04:26

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