JpGU-AGU Joint Meeting 2017

Presentation information

[JJ] Poster

A (Atmospheric and Hydrospheric Sciences) » A-CC Cryospheric Sciences & Cold District Environment

[A-CC38] [JJ] Glaciology

Mon. May 22, 2017 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall HALL7)

convener:Takayuki Nuimura(Chiba Institute of Science), Masahiro Hori(Earth Observation Reseacrh Center, Japan Aerospace Exploration Agency), Ishikawa Mamoru(Hokkaido University), Kzutaka Tateyama(National University Corporation Kitami Institute of Technology)

[ACC38-P03] Revaluation with Landsat 8 of red snow mapping in ice field

*Shiori Hatakeyama1, Keisuke Hasegawa1, Tatsuya Tashiro1, Xiaoyang Li2, Ali Roshanianafard3, Hiroshi Kawamata1,4, Nobuyasu Naruse5, Nozomu Takeuchi6, Yukihiro Takahashi1,7 (1.Global Science Campus, Hokkaido University, 2.Graduate School of Environmental Science, Hokkaido University, 3.Graduate School of Agriculture, Hokkaido University, 4.Institute for the Advancement of Higher Education, Hokkaido University, 5.Shiga University of Medical Science, 6.Graduate School of Science, Chiba University, 7.Graduate School of Science, Hokkaido University)

Keywords:Landsat, Red snow, Ice field, Remote sensing

The melting of glaciers has various effects on the environment such as sea level rise and glacial lake collapse. The global warming is commonly believed to cause the melting, while some scientists insist that the breeding of snow creatures on the glacier contributes mainly. The colorful phenomenon such as red snow, where microorganisms breed on the surface of the glaciers, makes the absorption of heat from sunlight increase, resulting in the faster melting rate of the glacier than usual. However, the actual amount of melting in the glacier is unknown. In order to elucidate it, the distribution of the coloring phenomenon on the glacier should be investigated. Therefore, we aimed at observing glaciers using remote sensing which can observe coloring phenomenon extensively and easily. Using remote sensing the red snow has been observed twice (2006, 2015). However, around 19 percent area in the ice field was not observed due to the saturation of the conventional 8-bit image sensor of the satellite. In this study Landsat 8 with the saturation-free 16-bit image sensors (band 2 and 4) is adopted and Harding ice field in June- August 2015 was selected for our observation with the information from previous studies. As shown in figure, we achieve to observe the whole area without the sensor saturating and the red snow appears in the larger area than before. The detail evaluation will be shown in the presentation.