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| Titel |
PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.1.0) |
| VerfasserIn |
S. Härer, M. Bernhardt, J. G. Corripio, K. Schulz |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 3 ; Nr. 6, no. 3 (2013-06-22), S.837-848 |
| Datensatznummer |
250017825
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| Publikation (Nr.) |
 copernicus.org/gmd-6-837-2013.pdf |
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| Zusammenfassung |
| Terrestrial photography is a cost-effective and easy-to-use method for
measuring and monitoring spatially distributed land surface variables. It can
be used to continuously investigate remote and often inaccessible terrain. We
focus on the observation of snow cover patterns in high mountainous areas.
The high temporal and spatial resolution of the photographs have various
applications, for example validating spatially distributed snow hydrological
models. However, the analysis of a photograph requires a preceding
georectification of the digital camera image. To accelerate and simplify the
analysis, we have developed the "Photo Rectification And ClassificaTIon
SoftwarE" (PRACTISE) that is available as a Matlab code. The routine
requires a digital camera image, the camera location and its orientation, as
well as a digital elevation model (DEM) as input. If the viewing orientation
and position of the camera are not precisely known, an optional optimisation
routine using ground control points (GCPs) helps to identify the missing
parameters. PRACTISE also calculates a viewshed using the DEM and the camera
position. The visible DEM pixels are utilised to georeference the photograph
which is subsequently classified. The resulting georeferenced and classified
image can be directly compared to other georeferenced data and can be used
within any geoinformation system. The Matlab routine was tested using
observations of the north-eastern slope of the Schneefernerkopf, Zugspitze,
Germany. The results obtained show that PRACTISE is a fast and user-friendly
tool, able to derive the microscale variability of snow cover extent in high
alpine terrain, but can also easily be adapted to other land surface
applications. |
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