Articles | Volume 9, issue 1
https://doi.org/10.5194/gmd-9-307-2016
https://doi.org/10.5194/gmd-9-307-2016
Model description paper
 | 
26 Jan 2016
Model description paper |  | 26 Jan 2016

PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.2.1)

S. Härer, M. Bernhardt, and K. Schulz

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Cited articles

Aronica, G., Bates, P. D., and Horrit, M. S.: Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE, Hydrol. Process., 16, 2001–2016, https://doi.org/10.1002/hyp.398, 2002.
Aschenwald, J., Leichter, K., Tasser, E., and Tappeiner, U.: Spatiotemporal landscape analysis in mountainous terrain by means of small format photography: a methodological approach, IEEE T. Geosci. Remote, 39, 885–893, https://doi.org/10.1109/36.917917, 2001.
Bernhardt, M. and Schulz, K.: SnowSlide: a simple routine for calculating gravitational snow transport, Geophys. Res. Lett., 37, L11502, https://doi.org/10.1029/2010GL043086, 2010.
Bernhardt, M., Schulz, K., Liston, G. E., and Zängl, G.: The influence of lateral snow redistribution processes on snow melt and sublimation in alpine regions, J. Hydrol., 424–425, 196–206, https://doi.org/10.1016/j.jhydrol.2012.01.001, 2012.
Bernhardt, M., Härer, S., Jacobeit, J., Wetzel, K. F., and Schulz, K.: The virtual alpine observatory – research focus Alpine hydrology, Hydrol. Wasserbewirts., 58, 241–243, 2014.
Short summary
This paper describes a new method to produce spatially and temporally calibrated NDSI-based satellite snow cover maps utilizing simultaneously captured terrestrial photographs as in situ information. First results confirm a high quality of the produced satellite snow cover maps and emphasize the need for calibration of the NDSI threshold value to ensure a high accuracy and reproduciblity. The software "PRACTISE V.2.1" was developed to automatically process the photographs and satellite images.
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