Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Geosci. Model Dev. Discuss., 6, 171–202, 2013 www.geosci-model-dev-discuss.net/6/171/2013/ Geoscientific doi:10.5194/gmdd-6-171-2013 Model Development © Author(s) 2013. CC Attribution 3.0 License. Discussions This discussion paper is/has been under review for the journal Geoscientific Model Development (GMD). Please refer to the corresponding final paper in GMD if available. PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.1.0) S. Harer¨ 1, M. Bernhardt1, J. G. Corripio2, and K. Schulz1 1Department of Geography, LMU Munich, Germany 2meteoexploration.com, Innsbruck, Austria Received: 28 November 2012 – Accepted: 8 January 2013 – Published: 18 January 2013 Correspondence to: S. Harer¨ (
[email protected]) Published by Copernicus Publications on behalf of the European Geosciences Union. 171 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract Terrestrial photography is a cost-effective and easy-to-use method to derive the sta- tus of spatially distributed land surface parameters. It can be used to continuously investigate remote and often inaccessible terrain. We focus on the observation of snow 5 cover patterns in high mountainous areas. The high temporal and spatial resolution of the photographs have various applications, e.g. validating spatially distributed snow hydrological models. However, a one to one analysis of projected model results to photographs requires a preceding georectification of the digital camera images. To ac- celerate and simplify the analysis, we have developed the “Photo Rectification And 10 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.