Characterizing errors in airborne laser altimetry data to extract soil roughness

2004 ◽  
Vol 42 (10) ◽  
pp. 2130-2141 ◽  
Author(s):  
I.J. Davenport ◽  
N. Holden ◽  
R.J. Gurney
Keyword(s):  
Altimetry Data ◽  
Laser Altimetry ◽  
Airborne Laser

Supplementary material to "Assessment of NASA airborne laser altimetry data using groundbased GPS data near Summit Station, Greenland"

2016 ◽  
Author(s):  
Kelly M. Brunt ◽  
Robert L. Hawley ◽  
Eric R. Lutz ◽  
Michael Studinger ◽  
John G. Sonntag ◽  
...  
Keyword(s):  
Gps Data ◽  
Altimetry Data ◽  
Laser Altimetry ◽  
Airborne Laser ◽  
Supplementary Material

scholarly journals Assessment of NASA airborne laser altimetry data using groundbased GPS data near Summit Station, Greenland

2016 ◽  
Author(s):  
Kelly M. Brunt ◽  
Robert L. Hawley ◽  
Eric R. Lutz ◽  
Michael Studinger ◽  
John G. Sonntag ◽  
...  
Keyword(s):  
Instrument Development ◽  
Measurement Precision ◽  
Airborne Lidar ◽  
Surface Elevation ◽  
Altimetry Data ◽  
Elevation Change ◽  
Laser Altimetry ◽  
Airborne Laser ◽  
Laser Altimeters ◽  
Data Gap

Abstract. A series of NASA airborne lidars have been used in support of satellite laser altimetry missions. These airborne laser altimeters have been deployed for satellite instrument development, for spaceborne data validation, and to bridge the data gap between satellite missions. We used data from ground-based GPS surveys of an 11,000 m long track near Summit Station, Greenland, to assess the surface elevation bias and measurement precision of three airborne laser altimeters, including the Airborne Topographic Mapper (ATM), the Land, Vegetation, and Ice Sensor (LVIS), and the Multiple Altimeter Beam Experimental Lidar (MABEL). Data from the monthly ground-based traverses, which commenced in 2006, allowed for the assessment of 8 airborne lidar surveys associated with ATM and LVIS. Surface elevation biases for these altimeters, over the flat, ice-sheet interior, are less than 0.12 m, while assessments of measurement precision are 0.09 m or better. Results from the analyses of ground-based and airborne data provide guidance for validation strategies for ICESat-2 elevation and elevation-change data products.

Automated extraction of tidal creeks from airborne laser altimetry data

2015 ◽  
Vol 527 ◽  
pp. 1006-1020 ◽  
Author(s):  
Yongxue Liu ◽  
Minxi Zhou ◽  
Saishuai Zhao ◽  
Wenfeng Zhan ◽  
Kang Yang ◽  
...  
Keyword(s):  
Altimetry Data ◽  
Automated Extraction ◽  
Laser Altimetry ◽  
Tidal Creeks ◽  
Airborne Laser

scholarly journals Combined Block Adjustment for Optical Satellite Stereo Imagery Assisted by Spaceborne SAR and Laser Altimetry Data

2021 ◽  
Vol 13 (16) ◽  
pp. 3062
Author(s):  
Guo Zhang ◽  
Boyang Jiang ◽  
Taoyang Wang ◽  
Yuanxin Ye ◽  
Xin Li
Keyword(s):  
Large Scale ◽  
Satellite Image ◽  
Field Measurements ◽  
High Elevation ◽  
Global Scale ◽  
Stereo Image ◽  
Image Process ◽  
Control Points ◽  
Altimetry Data ◽  
Laser Altimetry

To ensure the accuracy of large-scale optical stereo image bundle block adjustment, it is necessary to provide well-distributed ground control points (GCPs) with high accuracy. However, it is difficult to acquire control points through field measurements outside the country. Considering the high planimetric accuracy of spaceborne synthetic aperture radar (SAR) images and the high elevation accuracy of satellite-based laser altimetry data, this paper proposes an adjustment method that combines both as control sources, which can be independent from GCPs. Firstly, the SAR digital orthophoto map (DOM)-based planar control points (PCPs) acquisition is realized by multimodal matching, then the laser altimetry data are filtered to obtain laser altimetry points (LAPs), and finally the optical stereo images’ combined adjustment is conducted. The experimental results of Ziyuan-3 (ZY-3) images prove that this method can achieve an accuracy of 7 m in plane and 3 m in elevation after adjustment without relying on GCPs, which lays the technical foundation for a global-scale satellite image process.

scholarly journals POINTING ANGLE CALIBRATION OF ZY3-02 SATELLITE LASER ALTIMETER USING TERRAIN MATCHING

2017 ◽  
Vol XLII-1/W1 ◽  
pp. 205-210 ◽  
Author(s):  
G. Li ◽  
X. Tang ◽  
X. Gao ◽  
J. P. Huang ◽  
J. Chen ◽  
...  
Keyword(s):  
Altimetry Data ◽  
Laser Altimetry ◽  
Angle Error ◽  
Laser Altimeter ◽  
Geometric Calibration ◽  
Pointing Error ◽  
The Public ◽  
Ice Cloud ◽  
Laser Data ◽  
Terrain Matching

After GLAS (Geo-science Laser Altimeter System) loaded on the ICESat (Ice Cloud and land Elevation Satellite), satellite laser altimeter attracts more and more attention. ZY3-02 equipped with the Chinese first satellite laser altimeter has been successfully launched on 30<sup>th</sup> May, 2016. The geometric calibration is an important step for the laser data processing and application. The method to calculate the laser pointing angle error based on existed reference terrain data is proposed in this paper. The public version terrain data, such as 90m-SRTM and 30m-AW3D30, can be used to estimate the pointing angle of laser altimeter. The GLAS data with simulated pointing error and actual ZY3-02 laser altimetry data is experimented to validate the algorithm. The conclusion will be useful for the future domestic satellite laser altimeter.

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