A Method to Calculate Elevation-Change Rate of Jakobshavn Isbrae Using Operation IceBridge Airborne Topographic Mapper Data

Wang, Xianwei; Holland, David M.

doi:10.1109/lgrs.2018.2828417

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Airborne Topographic Mapper (ATM) data was used to verify the accuracy of the terrain slope estimation method in this study. It was developed by NASA to observe the Earth's topography and, most importantly, to measure the changes of ice sheets and glaciers in North America, Greenland, and Antarctica [46][47][48]. The L1B ATM data records the spot elevation and return strength measurements over the sea ice and ice sheet surfaces where the vertical accuracy is 6.6 cm [49].…”

Section: Atm Datamentioning

confidence: 99%

Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data

et al. 2018

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The terrain slope is one of the most important surface characteristics for quantifying the Earth surface processes. Space-borne LiDAR sensors have produced high-accuracy and large-area terrain measurement within the footprint. However, rigorous procedures are required to accurately estimate the terrain slope especially within the large footprint since the estimated slope is likely affected by footprint size, shape, orientation, and terrain aspect. Therefore, based on multiple available datasets, we explored the performance of a proposed terrain slope estimation model over several study sites and various footprint shapes. The terrain slopes were derived from the ICESAT/GLAS waveform data by the proposed method and five other methods in this study. Compared with five other methods, the proposed method considered the influence of footprint shape, orientation, and terrain aspect on the terrain slope estimation. Validation against the airborne LiDAR measurements showed that the proposed method performed better than five other methods (R2 = 0.829, increased by ~0.07, RMSE = 3.596°, reduced by ~0.6°, n = 858). In addition, more statistics indicated that the proposed method significantly improved the terrain slope estimation accuracy in high-relief region (RMSE = 5.180°, reduced by ~1.8°, n = 218) or in the footprint with a great eccentricity (RMSE = 3.421°, reduced by ~1.1°, n = 313). Therefore, from these experiments, we concluded that this terrain slope estimation approach was beneficial for different terrains and various footprint shapes in practice and the improvement of estimated accuracy was distinctly related with the terrain slope and footprint eccentricity.

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Section: Atm Datamentioning

confidence: 99%

Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data

et al. 2018

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“…The precision and accuracy of airborne and field observations are good enough for mass balance research studies on single glaciers (e.g., Muhammad and Tian, 2016;Cao et al, 2017;Wang and Holland, 2018;Muhammad et al, 2019). However, the spatial and temporal coverage of these observations are not sufficient for large-scale ice sheet mass balance research studies.…”

Section: Introductionmentioning

confidence: 99%

Elevation and Volume Changes in Greenland Ice Sheet From 2010 to 2019 Derived From Altimetry Data

et al. 2021

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Long-term altimetry data are one of the major sources to analyze the change in global ice reserves. This study focuses on the elevation and volume changes in the Greenland ice sheet (GrIS) from 2010 to 2019 derived from altimetry observations. In this study, the methods for determining surface elevation change rates are discussed, and specific strategies are designed. A new elevation difference method is proposed for CryoSat-2 synthetic aperture interferometric (SARin) mode observations. Through validation with Airborne Topographic Mapper (ATM) data, this new method is proved to be effective for slope terrains at the margins of the ice sheet. Meanwhile, a surface fit method is applied for the flat interior of the ice sheet where low resolution mode (LRM) observations are provided. The results of elevation change rates in the GrIS from 2010 to 2019 are eventually calculated by combining CryoSat-2 and ATM observations. An elevation change rate of −11.83 ± 1.14 cm·a−1 is revealed, corresponding to a volume change rate of −200.22 ± 18.26 km3·a−1. The results are compared with the elevation changes determined by Ice, Cloud, and Land Elevation Satellite (ICESat) from 2003 to 2009. Our results show that the overall volume change rate in the GrIS slowed down by approximately 10% during the past decade, and that the main contributor of GrIS ice loss has shifted from the southeast coast to the west margin of the ice sheet.

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Accuracy evaluation of digital elevation models derived from Terrestrial Radar Interferometer over Helheim Glacier, Greenland

Wang

Voytenko

Holland

2022

Remote Sensing of Environment

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A Method to Calculate Elevation-Change Rate of Jakobshavn Isbrae Using Operation IceBridge Airborne Topographic Mapper Data

Cited by 3 publications

References 19 publications

Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data

Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data

Elevation and Volume Changes in Greenland Ice Sheet From 2010 to 2019 Derived From Altimetry Data

Accuracy evaluation of digital elevation models derived from Terrestrial Radar Interferometer over Helheim Glacier, Greenland

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