Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine
Ice-marginal lakes play an important role in glacier dynamics and downstream hydrology. Proglacial lakes may alter glacial mass loss by enabling submarine melt and by providing a body of water into which glaciers may calve, and provide a basin which traps glacial sediment. Ice-dammed lakes play a cr...
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ftunivnorthcag:oai:libres.uncg.edu/33716 2024-02-11T10:03:59+01:00 Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine Hengst, Anthony Matthew NC DOCKS at Appalachian State University 2020 http://libres.uncg.edu/ir/asu/f/Hengst_Anthony_2020_Honors GES Thesis.pdf English eng http://libres.uncg.edu/ir/asu/f/Hengst_Anthony_2020_Honors GES Thesis.pdf 2020 ftunivnorthcag 2024-01-27T23:47:39Z Ice-marginal lakes play an important role in glacier dynamics and downstream hydrology. Proglacial lakes may alter glacial mass loss by enabling submarine melt and by providing a body of water into which glaciers may calve, and provide a basin which traps glacial sediment. Ice-dammed lakes play a critical role in the generation of outburst floods and must be monitored for human safety in downstream environments. Observation of ice-marginal lakes from satellite imagery provides valuable insight into these remote systems because in-situ data are difficult to obtain over a large study area. However, even large-scale remote sensing of these lakes is difficult due to their varied spectral appearance and the complex interface between sediment-laden, iceberg filled lakes and their adjacent crevassed and water-covered glaciers. Previous remote sensing studies feature coarse temporal sampling of lake behavior over a multi-decadal timescale. We seek to investigate how ice-marginal lakes evolve over sub-annual to annual timescales. Ice-marginal lakes are intimately connected to glacial systems, which can vary over seasonal cycles and longer-term cycles in the case of some surging glaciers. We develop a robust remote sensing method to provide observations of ice-marginal lakes across Alaska, a region whose ice-marginal lakes have received comparatively little attention.We develop an automated routine implemented in Google Earth Engine to investigate short- term glacial lake area changes across southern Alaska over the Landsat 8 era (2013-present). We create monthly estimates of ice-marginal lake area by applying a supervised Mahalanobis minimum-distance land cover classifier to Landsat 8 imagery. We optimize image processing parameters by running a suite of classifications and selecting the parameters that minimize error against a set of manually-delineated lakes and achieve an F-score from 0.33 in the most challenging test regions to 0.77 at best. In an exploration using Monte Carlo simulations, we interrogate our data to ... Other/Unknown Material glacier glaciers Alaska University of North Carolina: NC DOCKS (Digital Online Collection of Knowledge and Scholarship) Glacial Lake ENVELOPE(-129.463,-129.463,58.259,58.259) Marginal Lake ENVELOPE(163.500,163.500,-74.600,-74.600) |
institution |
Open Polar |
collection |
University of North Carolina: NC DOCKS (Digital Online Collection of Knowledge and Scholarship) |
op_collection_id |
ftunivnorthcag |
language |
English |
description |
Ice-marginal lakes play an important role in glacier dynamics and downstream hydrology. Proglacial lakes may alter glacial mass loss by enabling submarine melt and by providing a body of water into which glaciers may calve, and provide a basin which traps glacial sediment. Ice-dammed lakes play a critical role in the generation of outburst floods and must be monitored for human safety in downstream environments. Observation of ice-marginal lakes from satellite imagery provides valuable insight into these remote systems because in-situ data are difficult to obtain over a large study area. However, even large-scale remote sensing of these lakes is difficult due to their varied spectral appearance and the complex interface between sediment-laden, iceberg filled lakes and their adjacent crevassed and water-covered glaciers. Previous remote sensing studies feature coarse temporal sampling of lake behavior over a multi-decadal timescale. We seek to investigate how ice-marginal lakes evolve over sub-annual to annual timescales. Ice-marginal lakes are intimately connected to glacial systems, which can vary over seasonal cycles and longer-term cycles in the case of some surging glaciers. We develop a robust remote sensing method to provide observations of ice-marginal lakes across Alaska, a region whose ice-marginal lakes have received comparatively little attention.We develop an automated routine implemented in Google Earth Engine to investigate short- term glacial lake area changes across southern Alaska over the Landsat 8 era (2013-present). We create monthly estimates of ice-marginal lake area by applying a supervised Mahalanobis minimum-distance land cover classifier to Landsat 8 imagery. We optimize image processing parameters by running a suite of classifications and selecting the parameters that minimize error against a set of manually-delineated lakes and achieve an F-score from 0.33 in the most challenging test regions to 0.77 at best. In an exploration using Monte Carlo simulations, we interrogate our data to ... |
author |
Hengst, Anthony Matthew NC DOCKS at Appalachian State University |
spellingShingle |
Hengst, Anthony Matthew NC DOCKS at Appalachian State University Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine |
author_facet |
Hengst, Anthony Matthew NC DOCKS at Appalachian State University |
author_sort |
Hengst, Anthony Matthew |
title |
Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine |
title_short |
Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine |
title_full |
Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine |
title_fullStr |
Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine |
title_full_unstemmed |
Sub-Annual To Annual Dynamics Of Alaskan Ice-Marginal Lakes From Automated Image Classification Using Google Earth Engine |
title_sort |
sub-annual to annual dynamics of alaskan ice-marginal lakes from automated image classification using google earth engine |
publishDate |
2020 |
url |
http://libres.uncg.edu/ir/asu/f/Hengst_Anthony_2020_Honors GES Thesis.pdf |
long_lat |
ENVELOPE(-129.463,-129.463,58.259,58.259) ENVELOPE(163.500,163.500,-74.600,-74.600) |
geographic |
Glacial Lake Marginal Lake |
geographic_facet |
Glacial Lake Marginal Lake |
genre |
glacier glaciers Alaska |
genre_facet |
glacier glaciers Alaska |
op_relation |
http://libres.uncg.edu/ir/asu/f/Hengst_Anthony_2020_Honors GES Thesis.pdf |
_version_ |
1790600398380204032 |