JpGU-AGU Joint Meeting 2020

講演情報

[J] 口頭発表

セッション記号 A (大気水圏科学) » A-CC 雪氷学・寒冷環境

[A-CC39] 雪氷学

コンビーナ:縫村 崇行(東京電機大学)、石川 守(北海道大学)、舘山 一孝(国立大学法人 北見工業大学)、永井 裕人(早稲田大学 教育学部)

[ACC39-03] UAV-SfM技術を用いたグリーンランド・カナック沿岸の海氷厚分布測定

*渡邊 達也1舘山 一孝1 (1.北見工業大学)

キーワード:無人航空機、多視点ステレオ写真測量、海氷

UAV-SfM technique has potential as a new and simple method for measuring sea ice elevation and thickness. However, UAV flights in the high Arctic winter have some technical difficulties. In March 2018 and 2019, we tried UAV photogrammetry for sea ice along the coast of Qaanaaq, NW Greenland (77.4° N, 69.2° W), in order to build a safe and efficient UAV flight in the high Arctic winter. Air temperature fluctuated between −34°C and −25°C for both survey periods. In the first year, aerial photography by a rotary UAV covered an area of 1.26 km2 with four days of fieldwork. The first trial of UAV flight in the high arctic winter faced several problems; low battery at cryogenic temperature, compass error due to high declination and shortness of flight distance. In addition, much time had to be taken to place GCPs (ground controlling points). A generated sea ice DEM reproduced sea ice morphology faithfully, but was partially distorted due to insufficient GCP placement. In the second year, a fixed-wing UAV was applied for efficient aerial photography in harsh conditions and, additionally, several improvements were made to alleviate the flight problems that occur in high Arctic winter. The UAV mounted a RTK GNSS module, which made it possible to reduce model distortion derived from insufficient GCP placement and improve working efficiency. The UAV images covered an area of 0.75 km2 with a total flight time of only 30 minutes. New sea ice DEM has an accuracy of less than 10 cm and less distortion overall. Sea ice thickness was estimated from the sea ice DEM on the assumption that isostasy between snow cover, ice free-board and draft.