ICESat Geolocation Validation Using Airborne Photography

Magruder, Lori A.; Ricklefs, R. L.; Silverberg, E. C.; Horstman, M.; Suleman, Muhammad; Schutz, B. E.

doi:10.1109/tgrs.2010.2040831

Cited by 23 publications

(8 citation statements)

References 15 publications

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“…There are several main methods of space-borne laser altimeter calibration: verification with high-resolution and precise airborne laser altimeter data and other elevation data [ 10 ]; systematic pointing error calibration with ocean and round-the-world scan crossovers using aerial photography to assist the space-borne laser altimeter calibration [ 17 ]; and high-precision onboard geometric calibration based on a land infrared detector array [ 11 , 18 ].…”

Section: Basic Informationmentioning

confidence: 99%

“…The idea of calibration test is simple in concept, but there are some difficulties in the process, such as how to determine the size and geolocation of the electro-optical detector array. The laser emitting frequency of GLAS is 40 Hz, which can result in a spatial distance between along-track neighboring footprint centers where the distance is 172 m. We can capture no fewer than one footprint if the size of an along-track array is larger than 172 m and the cross-track is larger than 100 m [ 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

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ZY3-02 Laser Altimeter Footprint Geolocation Prediction

Xie

Tang

et al. 2017

Sensors

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Successfully launched on 30 May 2016, ZY3-02 is the first Chinese surveying and mapping satellite equipped with a lightweight laser altimeter. Calibration is necessary before the laser altimeter becomes operational. Laser footprint location prediction is the first step in calibration that is based on ground infrared detectors, and it is difficult because the sample frequency of the ZY3-02 laser altimeter is 2 Hz, and the distance between two adjacent laser footprints is about 3.5 km. In this paper, we build an on-orbit rigorous geometric prediction model referenced to the rigorous geometric model of optical remote sensing satellites. The model includes three kinds of data that must be predicted: pointing angle, orbit parameters, and attitude angles. The proposed method is verified by a ZY3-02 laser altimeter on-orbit geometric calibration test. Five laser footprint prediction experiments are conducted based on the model, and the laser footprint prediction accuracy is better than 150 m on the ground. The effectiveness and accuracy of the on-orbit rigorous geometric prediction model are confirmed by the test results. The geolocation is predicted precisely by the proposed method, and this will give a reference to the geolocation prediction of future land laser detectors in other laser altimeter calibration test.

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Section: Basic Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ZY3-02 Laser Altimeter Footprint Geolocation Prediction

Xie

Tang

et al. 2017

Sensors

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“…One deploys laser detectors and the other involves waveform matching between the laser echo simulated by a high-precision digital surface model (DSM) and the actual laser echo. Some studies have attempted to address this issue by arranging infrared signal detectors on the ground surface [16][17][18][19]. Others have used the unique signal generated in the reflected wave by the corner cube retroreflector (CCR) to obtain time information for calibrating synchronization errors [20,21].…”

Section: Introductionmentioning

confidence: 99%

Accuracy Verification of Airborne Large-Footprint Lidar based on Terrain Features

Lian

Zhang

et al. 2020

Remote Sensing

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Accuracy verification of airborne large-footprint lidar data is important for proper data application but is difficult when ground-based laser detectors are not available. Therefore, we developed a novel method for lidar accuracy verification based on the broadened echo pulse caused by signal saturation over water. When an aircraft trajectory crosses both water and land, this phenomenon and the change in elevation between land and water surfaces can be used to verify the plane and elevation accuracy of the airborne large-footprint lidar data in conjunction with a digital surface model (DSM). Due to the problem of echo pulse broadening, the center-of-gravity (COG) method was proposed to optimize the processing flow. We conducted a series of experiments on terrain features (i.e., the intersection between water and land) in Xiangxi, Hunan Province, China. Verification results show that the elevation accuracy obtained in our experiments was better than 1 m and the plane accuracy was better than 5 m, which is well within the design requirements. Although this method requires specific terrain conditions for optimum applicability, the results can lead to valuable improvements in the flexibility and quality of lidar data collection.

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“…Magruder et al. (, ) used a unique signal that was caused by a reflected waveform from corner‐cube retroreflectors to calibrate a time synchronisation error. Martin et al.…”

Section: Introductionmentioning

confidence: 99%

In‐orbit geometric calibration and experimental verification of the ZY3‐02 laser altimeter

Xie

Tang

et al. 2018

The Photogrammetric Record

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ZY3-02 is the first Chinese earth-observation satellite equipped with a laser altimeter, designed to assist stereo-image mapping elevations. Launch vibrations, the space environment and other factors, both expected and unexpected, cause bias in the designed ranging and pointing of the laser altimeter, influencing its height measurement accuracy. This paper proposes an in-orbit geometric calibration model which considers this bias as unknown systematic errors. The unknown parameters were calibrated by the minimum ranging error principle using laser spot geolocation data captured by a ground-based laser detector array. Based on precise orbit and attitude data, the precise geolocation information of the laser footprints could be obtained. Validation experiments show that the elevation precision of the laser altimeter can reach 1 m.

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ICESat Geolocation Validation Using Airborne Photography

Cited by 23 publications

References 15 publications

ZY3-02 Laser Altimeter Footprint Geolocation Prediction

ZY3-02 Laser Altimeter Footprint Geolocation Prediction

Accuracy Verification of Airborne Large-Footprint Lidar based on Terrain Features

In‐orbit geometric calibration and experimental verification of the ZY3‐02 laser altimeter

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