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Monitoring Greenland and Antarctic S...
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Corr, Diarmuid,
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Monitoring Greenland and Antarctic Supraglacial Hydrology From Space /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Monitoring Greenland and Antarctic Supraglacial Hydrology From Space // Diarmuid Corr.
作者:
Corr, Diarmuid,
面頁冊數:
1 electronic resource (303 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-07, Section: B.
Contained By:
Dissertations Abstracts International86-07B.
標題:
Hydrology. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31824659
ISBN:
9798302373458
Monitoring Greenland and Antarctic Supraglacial Hydrology From Space /
Corr, Diarmuid,
Monitoring Greenland and Antarctic Supraglacial Hydrology From Space /
Diarmuid Corr. - 1 electronic resource (303 pages)
Source: Dissertations Abstracts International, Volume: 86-07, Section: B.
Ice sheets, large masses of glacial ice covering polar regions, influence global sea level and ocean currents. The study of surface water on these ice sheets, supraglacial hydrology, is essential to understand the effects of climate change on ice sheet stability, sea-level rise, and climate systems. This thesis examines supraglacial hydrological systems in Antarctica and Greenland by developing novel methods to classify them using optical satellite imagery (Sentinel-2 and Landsat-8).Chapter 2 reveals the presence of supraglacial hydrology features, such as lakes and channels, on the West Antarctic Ice Sheet through a novel dual-NDWI and k-means clustering approach. A total of 10,478 features covering 119.4 km² were identified, broadening our knowledge of Antarctica's supraglacial hydrology.Chapter 3 uses random forest and radiative transfer models to analyse the extent and volume of surface meltwater on the Greenland Ice Sheet from 2014 to 2022. This study assesses supraglacial hydrological features Greenland wide, on a decadal scale, for the first time. The results imply that reductions in firn air content and increases in ice slab content are drivers of increasing meltwater in various drainage basins, particularly in the north, east, and south.Chapter 4 presents an innovative algorithm that quantifies uncertainty in the prediction of supraglacial hydrology using Bayesian inference with spatial statistics. This probabilistic approach provides predictions for the presence of water at the pixel level with associated standard deviations, which signify uncertainty. By quantifying uncertainty, this approach is important for understanding the quantity and trends of meltwater flowing into the ocean.This research advances our understanding of the distribution and dynamics of supraglacial hydrology on ice sheets, providing data and tools for the wider scientific community. These findings contribute to our understanding of the impacts of climate change on polar regions and support machine learning models to map surface water.
English
ISBN: 9798302373458Subjects--Topical Terms:
545716
Hydrology.
Monitoring Greenland and Antarctic Supraglacial Hydrology From Space /
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Ice sheets, large masses of glacial ice covering polar regions, influence global sea level and ocean currents. The study of surface water on these ice sheets, supraglacial hydrology, is essential to understand the effects of climate change on ice sheet stability, sea-level rise, and climate systems. This thesis examines supraglacial hydrological systems in Antarctica and Greenland by developing novel methods to classify them using optical satellite imagery (Sentinel-2 and Landsat-8).Chapter 2 reveals the presence of supraglacial hydrology features, such as lakes and channels, on the West Antarctic Ice Sheet through a novel dual-NDWI and k-means clustering approach. A total of 10,478 features covering 119.4 km² were identified, broadening our knowledge of Antarctica's supraglacial hydrology.Chapter 3 uses random forest and radiative transfer models to analyse the extent and volume of surface meltwater on the Greenland Ice Sheet from 2014 to 2022. This study assesses supraglacial hydrological features Greenland wide, on a decadal scale, for the first time. The results imply that reductions in firn air content and increases in ice slab content are drivers of increasing meltwater in various drainage basins, particularly in the north, east, and south.Chapter 4 presents an innovative algorithm that quantifies uncertainty in the prediction of supraglacial hydrology using Bayesian inference with spatial statistics. This probabilistic approach provides predictions for the presence of water at the pixel level with associated standard deviations, which signify uncertainty. By quantifying uncertainty, this approach is important for understanding the quantity and trends of meltwater flowing into the ocean.This research advances our understanding of the distribution and dynamics of supraglacial hydrology on ice sheets, providing data and tools for the wider scientific community. These findings contribute to our understanding of the impacts of climate change on polar regions and support machine learning models to map surface water.
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