Share Email Print

Proceedings Paper

Vicarious calibration for remotely sensed hydropower water resource
Author(s): Alexander Brandelik; Christof Huebner; Monique Bernier; Martin Schneebeli
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

As part of the natural resource management (NRM) the exploitation and assessment of water resources from melted snow, the snow water equivalent (SWE) for hydro power generation can proceed only by remote sensing. The evaluation algorithm EQeau is already introduced for this assessment. This connects the remotely data to the SWE exploiting the seasonal thermal resistance change of the soil and snow cover. On the other hand this technique needs representative vicarious ground calibrations, especially that of the snow density. At this end the devices used for the ground truth measurements are too small in comparison with a remote sensing pixel size and are not suitable for continous monitoring. The new method and device senses a more than 50 times larger measuring volume than the usual ones, its linear extension can be compared by a pixel side. The sensor is an unshielded flat band cable which will be embedded by snow fall and remains and measures there during the entire winter season. With time domain reflectometry (TDR) and low frequency measurements on this long sensor one can determine the density, the most important input for the calibration of the remotely sensed data. The method contributes to a better prognoses for avalanche and flood warning as well, because it measures the snow liquid water content also. The method and instrument are installed in four consecutive winter seasons.

Paper Details

Date Published: 24 September 2002
PDF: 8 pages
Proc. SPIE 4814, Earth Observing Systems VII, (24 September 2002); doi: 10.1117/12.450568
Show Author Affiliations
Alexander Brandelik, Forschungszentrum Karlsruhe (Germany)
Christof Huebner, Univ. of Cooperative Education (Germany)
Monique Bernier, Univ. du Quebec (Canada)
Martin Schneebeli, Swiss Federal Institute for Snow and Avalanche Research (Switzerland)

Published in SPIE Proceedings Vol. 4814:
Earth Observing Systems VII
William L. Barnes, Editor(s)

© SPIE. Terms of Use
Back to Top