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Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models

Six DEMs over a 10-year period were used to estimate flood-related sedimentation in the Japanese Creek drainage located in Seward, Alaska. We analyze two existing LiDAR DEMs and one GNSS-derived DEM along with three additional DEMs that we generated using differential Global Navigation Satellite Sys...

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Detalles Bibliográficos
Autores principales: Balazs, Matthew, Prakash, Anupma, Wolken, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001491/
https://www.ncbi.nlm.nih.gov/pubmed/33799624
http://dx.doi.org/10.3390/s21061966
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author Balazs, Matthew
Prakash, Anupma
Wolken, Gabriel
author_facet Balazs, Matthew
Prakash, Anupma
Wolken, Gabriel
author_sort Balazs, Matthew
collection PubMed
description Six DEMs over a 10-year period were used to estimate flood-related sedimentation in the Japanese Creek drainage located in Seward, Alaska. We analyze two existing LiDAR DEMs and one GNSS-derived DEM along with three additional DEMs that we generated using differential Global Navigation Satellite System (dGNSS) and Structure from Motion (SfM) techniques. Uncertainties in each DEM were accounted for, and a DEMs of Difference (DoD) technique was used to quantify the amount and pattern of sediment introduced, redistributed, or exiting the system. Through correlating the changes in sediment budget with rainfall data and flood events, the study demonstrates that the major flood events in 2006 and 2012—the 7th and 5th highest precipitation events on record—resulted in an increased sedimentation in the drainage as a whole. At a minimum the 2006 and 2012 events increased the sediment in the lower reaches by 70,100 and 53,900 cubic meters, respectively. The study shows that the DoD method and using multiple technologies to create DEMs is effective in quantifying the volumetric change and general spatial patterns of sediment redistribution between the acquisition of DEMs.
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spelling pubmed-80014912021-03-28 Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models Balazs, Matthew Prakash, Anupma Wolken, Gabriel Sensors (Basel) Article Six DEMs over a 10-year period were used to estimate flood-related sedimentation in the Japanese Creek drainage located in Seward, Alaska. We analyze two existing LiDAR DEMs and one GNSS-derived DEM along with three additional DEMs that we generated using differential Global Navigation Satellite System (dGNSS) and Structure from Motion (SfM) techniques. Uncertainties in each DEM were accounted for, and a DEMs of Difference (DoD) technique was used to quantify the amount and pattern of sediment introduced, redistributed, or exiting the system. Through correlating the changes in sediment budget with rainfall data and flood events, the study demonstrates that the major flood events in 2006 and 2012—the 7th and 5th highest precipitation events on record—resulted in an increased sedimentation in the drainage as a whole. At a minimum the 2006 and 2012 events increased the sediment in the lower reaches by 70,100 and 53,900 cubic meters, respectively. The study shows that the DoD method and using multiple technologies to create DEMs is effective in quantifying the volumetric change and general spatial patterns of sediment redistribution between the acquisition of DEMs. MDPI 2021-03-11 /pmc/articles/PMC8001491/ /pubmed/33799624 http://dx.doi.org/10.3390/s21061966 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Balazs, Matthew
Prakash, Anupma
Wolken, Gabriel
Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models
title Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models
title_full Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models
title_fullStr Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models
title_full_unstemmed Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models
title_short Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models
title_sort quantifying debris flood deposits in an alaskan fjord using multitemporal digital elevation models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001491/
https://www.ncbi.nlm.nih.gov/pubmed/33799624
http://dx.doi.org/10.3390/s21061966
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