Accuracy Assessment of the ICESat-2/ATL06 Product in the Qilian Mountains Based on CORS and UAV Data

Ice, Cloud and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System 06 (ICESat-2/ATL06) data can be widely used for various applications, such as monitoring changes in glacier thickness. In this article, we use field surveys based on continuously operating reference system (CORS) a...

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Bibliographic Details
Published in:IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.1558-1571
Main Authors: Zhang, Yanli, Pang, Yan, Cui, Dudu, Ma, Yupeng, Chen, Linhong
Format: Article
Language:English
Subjects:
Accuracy
Advanced topographic laser altimeter system (ATLAS)
Aerial surveys
Altimeters
Area measurement
Data
digital elevation model (DEM)
Digital Elevation Models
Digital imaging
Elevation
geoscience laser altimeter systems (GLAS)
Glaciers
Global positioning systems
GPS
Ice
Landforms
Laser altimeters
Laser beams
Lasers
Measurement by laser beam
Mountains
Positioning systems
Reference systems
Root-mean-square errors
Sea measurements
stereo model
Surveys
Terrain
Unmanned aerial vehicles
Vegetation mapping
vertical elevation accuracy
Vertical orientation
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Summary:Ice, Cloud and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System 06 (ICESat-2/ATL06) data can be widely used for various applications, such as monitoring changes in glacier thickness. In this article, we use field surveys based on continuously operating reference system (CORS) and unmanned aerial vehicles (UAVs) to verify the elevation accuracy of the ATL06 product. A total of 208 ATL06 footprints were selected for an accuracy assessment by obtaining 348 CORS global positioning system (GPS) measurements and deriving a digital elevation model (DEMs) from 2683 UAV images in four experimental areas with different terrain and landform types in the Qilian Mountains, China. The experiments show that ATL06 data have very high vertical accuracy and horizontal positioning accuracy; the average root-mean-square error (RMSE) yielded by CORS is 0.0846 m, and the corresponding RMSE yielded by the UAV data is 0.1517 m. Furthermore, the positioning accuracy was also affected by the terrain slope.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2020.3044463