An attempt to measure sea ice freeboard using UAV-SfM

• WATANABE Tatsuya

  Kitami Institute of Technology,

• TATEYAMA Kazutaka

  Kitami Institute of Technology,

Bibliographic Information

Other Title

• UAV-SfM測量による海氷フリーボード計測の試み
• UAV-SfM ソクリョウ ニ ヨル カイヒョウ フリーボード ケイソク ノ ココロミ

Abstract

Knowledge of the variability of sea ice thickness is insufficient because the existing methods have some weaknesses. We applied Unmanned Aerial Vehicle with Structure from Motion (UAV-SfM) to estimate sea ice freeboard on the coast of Qaanaaq, NW Greenland. Three aerial photography methods were attempted to find an efficient way for surveying various sea ice using multi-rotor and fixed-wing UAVs. The UAV-SfM surveys with ground control points (GCP) layout generate a distribution map of freeboard with poor reproducibility. The main causes are the difficulty of dense GCP layout on various sea ice and change of GCP positions by tidal change. The UAV-SfM surveys without GCP (i.e., using precise geotagged image data) improved the operating efficiency in the harsh cold environment and generated a highly reproducible distribution map of freeboard. A fixed-wing UAV mounting camera equipped with a large image sensor is suitable for detecting small changes in the flat sea ice surface over a wide range. Further validation and technical improvement are required for practical application to sea ice thickness estimation.

Journal

• Journal of the Japanese Society of Snow and Ice

  Journal of the Japanese Society of Snow and Ice 83 (2), 155-167, 2021

  The Japanese Society of Snow and Ice

Keywords

• sea ice
• UAV
• structure from motion
• Greenland

Details

• CRID: 1390852492363134336
• NII Article ID: 130008093537
• NII Book ID: AN00131221
• DOI: 10.5331/seppyo.83.2_155
• ISSN: 18836267
• ISSN: 03731006
• NDL BIB ID: 031372462
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I031372462
• Web Site: https://www.jstage.jst.go.jp/article/seppyo/83/2/83_155/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed