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Geosciences 2017, 7(3), 55; doi:10.3390/geosciences7030055

Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions

1
Finnish Meteorological Institute (FMI), Erik Palménin aukio 1, FI-00560 Helsinki, Finland
2
Finnish Environment Institute Finland (SYKE), Mechelininkatu 34a, FI-00251 Helsinki, Finland
3
Natural Resources Institute Finland (LUKE), Viikinkaari 4, FI-00790 Helsinki, Finland
*
Authors to whom correspondence should be addressed.
Received: 31 May 2017 / Revised: 28 June 2017 / Accepted: 4 July 2017 / Published: 9 July 2017
(This article belongs to the Special Issue Cryosphere)
View Full-Text   |   Download PDF [7785 KB, uploaded 9 July 2017]   |  

Abstract

Fractional snow cover (FSC) is an important parameter to estimate snow water equivalent (SWE) and surface albedo important to climatic and hydrological applications. The presence of forest creates challenges to retrieve FSC accurately from satellite data, as forest canopy can block the sensor’s view of snow cover. In addition to the challenge related to presence of forest, in situ data of FSC—necessary for algorithm development and validation—are very limited. This paper investigates the estimation of FSC using digital imagery to overcome the obstacle caused by forest canopy, and the possibility to use this imagery in the validation of FSC derived from satellite data. FSC is calculated here using an algorithm based on defining a threshold value according to the histogram of an image, to classify a pixel as snow-covered or snow-free. Images from the MONIMET camera network, producing a continuous image series in Finland, are used in the analysis of FSC. The results obtained from automated image analysis of snow cover are compared with reference data estimated by visual inspection of same images. The results show the applicability and usefulness of digital imagery in the estimation of fractional snow cover in forested areas, with a Root Mean Squared Error (RMSE) in the range of 0.1–0.3 (with the full range of 0–1). View Full-Text
Keywords: image processing; webcam monitoring; digital images; snow cover; boreal forests image processing; webcam monitoring; digital images; snow cover; boreal forests
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Arslan, A.N.; Tanis, C.M.; Metsämäki, S.; Aurela, M.; Böttcher, K.; Linkosalmi, M.; Peltoniemi, M. Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions. Geosciences 2017, 7, 55.

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