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| Titel |
Optimisation of Global Grids for High-Resolution Remote Sensing Data |
| VerfasserIn |
Bernhard Bauer-Marschallinger, Daniel Sabel, Wolfgang Wagner |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250088629
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| Publikation (Nr.) |
 EGU/EGU2014-2759.pdf |
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| Zusammenfassung |
| Upcoming remote sensing systems onboard satellites will generate unprecedented volumes of
spatial data, hence challenging processing facilities in terms of storage and processing
capacities. Thus, an efficient handling of remote sensing data is of vital importance,
demanding a well-suited definition of spatial grids for the data’s storage and manipulation.
For high-resolution image data, regular grids defined by map projections have been identified
as practicable, cognisant of there drawbacks due to geometric distortions. In this regard, we
defined a new metric named grid oversampling factor GOF that estimates local data
oversampling appearing during projection of generic satellite images to a regular raster grid.
We computed GOF-values for common map projections, optimised their parameters and
excluded the possibility of undersampling. The results concluded that equidistant
projections are most suitable, showing a global mean oversampling of 3% when
using six continental grids. Opposed to previous studies that suggested equal-area
projections, we recommend the Plate Carrée, the Equidistant Conic and the Equidistant
Azimuthal projection for global, hemispherical and continental grids, respectively. |
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