{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:50:18Z","timestamp":1740149418115,"version":"3.37.3"},"reference-count":62,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T00:00:00Z","timestamp":1615420800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"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\u2014the 7th and 5th highest precipitation events on record\u2014resulted 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.<\/jats:p>","DOI":"10.3390\/s21061966","type":"journal-article","created":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T10:38:22Z","timestamp":1615459102000},"page":"1966","source":"Crossref","is-referenced-by-count":1,"title":["Quantifying Debris Flood Deposits in an Alaskan Fjord Using Multitemporal Digital Elevation Models"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1514-2699","authenticated-orcid":false,"given":"Matthew","family":"Balazs","sequence":"first","affiliation":[{"name":"Geophysical Institute, University of Alaska Fairbanks, 2156 Koyukuk Drive, Fairbanks, AK 99775, USA"},{"name":"GeoNorth Information Systems, 561 East 36th Avenue Anchorage, AK 99503, USA"}]},{"given":"Anupma","family":"Prakash","sequence":"additional","affiliation":[{"name":"Geophysical Institute, University of Alaska Fairbanks, 2156 Koyukuk Drive, Fairbanks, AK 99775, USA"}]},{"given":"Gabriel","family":"Wolken","sequence":"additional","affiliation":[{"name":"Alaska Division of Geological & Geophysical Surveys, 3354 College Road, Fairbanks, AK 99709, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"102981","DOI":"10.1016\/j.earscirev.2019.102981","article-title":"Debris-flow monitoring and warning: Review and examples","volume":"199","author":"Coviello","year":"2019","journal-title":"Earth Sci. 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