Journal
REMOTE SENSING
Volume 10, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/rs10101547
Keywords
UAV; structure-from-motion photogrammetry; change detection; glacier melt; Canadian Arctic
Categories
Funding
- Natural Sciences and Engineering Research Council Discovery Grant
- Natural Sciences and Engineering Research Council Northern Supplement Grant
- University of Calgary's Eyes High Recruitment Scholarship
Ask authors/readers for more resources
Current understanding of glacier mass balance changes under changing climate is limited by scarcity of in situ measurements in both time and space, as well as resolution of remote sensing products. Recent innovations in unmanned aerial vehicles (UAVs), as well as structure-from-motion photogrammetry (SfM), have led to increased use of digital imagery to derive topographic data in great detail in many fields, including glaciology. This study tested the capability of UAV surveys to detect surface changes over glacier ice during a three-day period in July 2016. Three UAV imaging missions were conducted during this time over 0.185 km
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
© Peeref 2019-2024. All rights reserved.