1선임연구원, 한국해양과학기술원 부설 극지연구소, 원격탐사빙권정보센터, 인천광역시 연수구 송도미래로 26, 21990, 대한민국
2기술원, 한국해양과학기술원 부설 극지연구소, 원격탐사빙권정보센터, 인천광역시 연수구 송도미래로 26, 21990, 대한민국
3책임연구원, 한국해양과학기술원 부설 극지연구소, 원격탐사빙권정보센터, 인천광역시 연수구 송도미래로 26, 21990, 대한민국
1Senior Research Scientist, Center of Remote Sensing and GIS, Korea Polar Research Institute (KOPRI), 26 Songdomirae-ro, Yeonsu-gu, 21990 Incheon, South Korea
2Administrative Specialist, Center of Remote Sensing and GIS, Korea Polar Research Institute (KOPRI), 26 Songdomirae-ro, Yeonsu-gu, 21990 Incheon, South Korea
3Principal Research Scientist, Center of Remote Sensing and GIS, Korea Polar Research Institute (KOPRI), 26 Songdomirae-ro, Yeonsu-gu, 21990 Incheon, South Korea
Copyright © 2023 GeoAI Data Society
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Conflict of Interest
Hyun-Cheol Kim has been an Editorial Board of GEO DATA; however, he was not involved in the peer reviewer selection, evaluation, or decision process of this paper. Otherwise, no other potential conflicts of interest relevant to this paper were reported.
Funding Information
This research was supported by ‘the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (PN22070)’ and ‘Korea Polar Research Institute (PE23040)’.
Value | |
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DJI Matrice 300 | |
Dimension | 810×670×430 mm |
Max weight | 9 kg |
Wing type | Quadcopter |
Operating frequency | 2.4 and 5.9 GHz |
Positioning accuracy | Approximately 1 to 2 cm |
Max speed | Approximately 20 m/s |
Max wind resistance | 15 m/s |
Max flight time | 55 minutes |
GNSS | GPS, GLONASS, BeiDou, Galileo |
Zenmuse L1 for Matrice 300 | |
Dimension | 152×110×169 mm |
Weight | 930 g |
Laser detection range | 190 to 450 m |
System accuracy | Approximately 5 to 10 cm |
LiDAR accuracy | 3 cm @ 100 m |
IMU update frequency | 200 Hz |
Point rate | Approximately 480,000 pts/s |
FOV | 70.4 degree |
Note | Attached RGB Camera (5,472×3,078 px) |
Sort | Field | Subcategory#1 | Subcategory#2 |
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Essential | *Title | 2022_KOPRI_L1_DSM | Dataset of sUAV LiDAR DSM for Russell Glacier, Greenland |
*DOI name | |||
*Category | inlandWaters | ||
Abstract | 2022_KOPRI_L1_DSM | Dataset of sUAV LiDAR DSM for Russell Glacier, Greenland | |
*Temporal Coverage | June 24th to 25th 2022 | ||
*Spatial Coverage | Address | Russell Glacier, Kangerlussuaq, Greenland | |
WGS84 Coordinates | Lat.: 67.088895N | ||
Lon.: -50.238075E | |||
*Personnel | Name | Yongsik Jeong | |
Affiliation | Korea Polar Research Institute | ||
yongsik@kopri.re.kr | |||
*CC License | BY-NC-ND | ||
Optional | *Project | PE23040 | Study on remote sensing for quantitative analysis of changes in the Arctic cryosphere |
PN22070 | Research on glacier monitoring techniques using images from unmanned vehicle | ||
*Instrument | sUAV & Sensor | DJI Matrice 300 & Zenmuse L1 (LiDAR) |
sUAV, small unmanned aerial vehicle; IMU, inertial measurement unit; FOV, field of view.