Journal of the Japanese Society of Snow and Ice
Online ISSN : 1883-6267
Print ISSN : 0373-1006
Volume 77, Issue 2
Displaying 1-2 of 2 articles from this issue
  • Yasuhiro TANAKA, Kazutaka TATEYAMA, Shuhei TAKAHASHI, Takao KAMEDA, Hi ...
    2015 Volume 77 Issue 2 Pages 173-190
    Published: 2015
    Released on J-STAGE: March 01, 2023
    JOURNAL OPEN ACCESS
    Because melt ponds have lower albedo than snow and ice, the ice albedo feedback process accelerates to increase the amount of solar absorption and sea ice melt. In this study, an automatic image analysis method is developed in order to detect open water, sea ice, and melt ponds using the forward looking camera images obtained from observations of the Arctic Ocean ice during summer and autumn. Comparing an automatic image analysis to visual observations of the images, we can detect melt ponds on the sea ice. First, this method performs filtering in the Fourier domain to smooth the brightness histogram of the image, and sea ice conditions are classified into three categories. The low pass filter (LPF) specifications for obtaining a high concordance rate were a cutoff frequency of 0.05 and a filter head of 51 using a Blackman window. Then, the concordance rate was 89.5% at one peak (for open water or sea ice only), 80.5% at two peaks (for open water and sea ice, or melt pond and sea ice), and 64.0% at three peaks (for open water, melt pond, and sea ice). Second, the surface conditions are classified into two types by using the brightness threshold at one peak, and making a relationship of the red and green histogram at two peaks. As a result, the concordance rate of two peaks achieved 88.2%. Finally, our image analysis method automatically enabled surface condition distinctions on cruise tracks in the Arctic Ocean.
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  • Yuichi IMANISHI, Takuma OI
    2015 Volume 77 Issue 2 Pages 191-199
    Published: 2015
    Released on J-STAGE: March 01, 2023
    JOURNAL OPEN ACCESS
    We developed a simple snow load gauge using plastic bottles with the aim of hydrologic correction for the underground gravity station of Kamioka, Japan. It is based on the principle of a snow pillow, which detects water equivalent of snowpack in terms of pressure changes of the anti-freeze coolant inside the sensing unit, and is much smaller and cheaper than the existing products thanks to the usage of plastic bottles. A laboratory test of artificially loading the instruments has revealed an almost linear relation between the load and the liquid pressure inside the bottles. The instrument was installed at the top of Mt. Ikenoyama, above the Kamioka underground site, in order to observe in situ snow load. Resultant time series of pressure changes turned out to be very similar to the observed gravity changes, suggesting that our instrument produced highly plausible recordings of snow load.
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