Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry

Michaelides, R. J.; Bryant, M. B.; Siegfried, Matthew R.; Borsa, A. A.

doi:10.1029/2020ea001538

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…New methods take time to develop for new products like ICESat-2, and as of this writing, there are relatively few results in the literature. It is expected that ICESat-2 data will contribute to new insights and a much better understanding of the entire cryosphere, including dynamical changes of the ice sheets (Smith et al 2020) and improved monitoring of mountain glaciers (Wang et al 2021, Fan et al 2022), but also advances in related disciplines such as, snow depths on-and off-glacier (Treichler and Kääb 2017), sea ice and ice shelf thickness (Kacimi and Kwok 2020) or permafrost changes (Michaelides et al 2021). In addition, the accurate elevation measurements of both ICESat and ICESat-2 provide a globally consistent reference elevation dataset that has the potential to greatly improve the quality and accuracy of existing and upcoming DEMs and other elevation data across the globe, which will directly benefit glacier volume change studies.…”

Section: Discussionmentioning

confidence: 99%

Measuring glacier mass changes from space—a review

et al. 2023

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Glaciers distinct from the Greenland and Antarctic ice sheets are currently losing mass rapidly with direct and severe impacts on the habitability of some regions on Earth as glacier meltwater contributes to sea-level rise and alters regional water resources in arid regions. In this review, we present the different techniques developed during the last two decades to measure glacier mass change from space: digital elevation model differencing from stereo-imagery and synthetic aperture radar interferometry, laser and radar altimetry and space gravimetry. We illustrate their respective strengths and weaknesses to survey the mass change of a large Arctic ice body, the Vatnajökull Ice Cap (Iceland) and for the steep glaciers of the Everest area (Himalaya). For entire regions, mass change estimates sometimes disagree when a similar technique is applied by different research groups. At global scale, these discrepancies result in mass change estimates varying by 20 to 30%. Our review confirms the need for more thorough inter-comparison studies to understand the origin of these differences and to better constrain regional to global glacier mass changes and, ultimately, past and future glacier contribution to sea-level rise.

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Section: Discussionmentioning

confidence: 99%

Measuring glacier mass changes from space—a review

et al. 2023

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“…Additionally, the effectiveness of ICESat-2 crossover points for snow depth identification has been evaluated in flat areas 16 . Although the crossover points method can resolve surface variations associated with changes in snow depth and seasonal melting of the active permafrost layer, its accuracy is affected by the slope and roughness of the terrain 17 .…”

Section: Background and Summarymentioning

confidence: 99%

High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

Chen,

Wang,

Che

et al. 2024

Sci Data

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Understanding elevation changes on the Tibetan Plateau is crucial to comprehend the changes in topography, landscape, climate, environmental conditions, and water resources. However, some of the current products that track elevation changes only cover specific surface types or limited areas, and others have low spatial resolution. We propose an algorithm to extract ICESat-2 crossover points dataset for the Tibetan Plateau, and form a dataset. The crossover points dataset has a density of 2.015 groups/km², and each group of crossover points indicates the amount of change in elevation before and after a period of time over an area of approximately 17 meters in diameter. Comparing ICESat-2 crossover points data with existing studies on glaciers and lakes, we demonstrated the reliability of the derived elevation changes. The ICESat-2 crossover points provide a refined data source for understanding high-spatial-resolution elevation changes on the Tibetan Plateau. This dataset can provide validation data for various studies that require high-precision or high-resolution elevation change data on the Tibetan Plateau.

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“…Limited lidar data coverage was identified as a major error source in the estimation. The in-orbit Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) has potential for large scale elevation change analyses with a revisit of 91 d (Michaelides et al 2021), but it has a coarse spatial resolution, worse precision, as well as other issues compared to airborne repeat lidar. An integrated application of airborne lidar, ICESat-2, InSAR and Landsat data products may improve the thaw settlement estimation given the complementary features of each sensor system.…”

Section: Limitations and Sources Of Errormentioning

confidence: 99%

Linking repeat lidar with Landsat products for large scale quantification of fire-induced permafrost thaw settlement in interior Alaska

Zhang

Douglas

Brodylo

et al. 2023

Environ. Res. Lett.

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TThe permafrost-fire-climate system has been a hotspot in research for decades under a warming climate scenario. Surface vegetation plays a dominant role in protecting permafrost from summer warmth, thus, any alteration of vegetation structure, particularly following severe wildfires, can cause dramatic top-down thaw. A challenge in understanding this is to quantify fire-induced thaw settlement at large scales (>1000 km2). In this study, we explored the potential of using Landsat products for a large-scale estimation of fire-induced thaw settlement across a well-studied area representative of ice-rich lowland permafrost in interior Alaska. Six large fires have affected ~1250 km2 of the area since 2000. We first identified the linkage of fires, burn severity, and land cover response, and then developed an object-based machine learning ensemble approach to estimate fire-induced thaw settlement by relating airborne repeat LiDAR data to Landsat products. The model delineated thaw settlement patterns across the six fire scars and explained ~65% of the variance in LiDAR-detected elevation change. Our results indicate a combined application of airborne repeat LiDAR and Landsat products is a valuable tool for large scale quantification of fire-induced thaw settlement.

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Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry

Cited by 9 publications

References 51 publications

Measuring glacier mass changes from space—a review

Measuring glacier mass changes from space—a review

High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

Linking repeat lidar with Landsat products for large scale quantification of fire-induced permafrost thaw settlement in interior Alaska

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