Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility

Boat-mounted, georeferenced videos were used to develop a method to rapidly document streambank conditions and assess erosion susceptibility over long stream segments. Traditional streambank survey methods are often spatially limited, time-consuming, and expensive. A novel Streambank Video Mapping S...

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Format: Text
Language:unknown
Published: BYU ScholarsArchive 2019
Subjects:
GIS
Online Access:https://scholarsarchive.byu.edu/josh/vol15/iss2/3
https://scholarsarchive.byu.edu/context/josh/article/1121/viewcontent/Georeferenced_Video_Mapping_to_Classify_Streambank_Erosion_Susceptibility.pdf
id ftbrighamyoung:oai:scholarsarchive.byu.edu:josh-1121
record_format openpolar
spelling ftbrighamyoung:oai:scholarsarchive.byu.edu:josh-1121 2023-07-23T04:18:34+02:00 Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility 2019-01-01T08:00:00Z application/pdf https://scholarsarchive.byu.edu/josh/vol15/iss2/3 https://scholarsarchive.byu.edu/context/josh/article/1121/viewcontent/Georeferenced_Video_Mapping_to_Classify_Streambank_Erosion_Susceptibility.pdf unknown BYU ScholarsArchive https://scholarsarchive.byu.edu/josh/vol15/iss2/3 https://scholarsarchive.byu.edu/context/josh/article/1121/viewcontent/Georeferenced_Video_Mapping_to_Classify_Streambank_Erosion_Susceptibility.pdf Journal of Spatial Hydrology Streambank erosion video GIS rapid assessment text 2019 ftbrighamyoung 2023-07-03T22:46:50Z Boat-mounted, georeferenced videos were used to develop a method to rapidly document streambank conditions and assess erosion susceptibility over long stream segments. Traditional streambank survey methods are often spatially limited, time-consuming, and expensive. A novel Streambank Video Mapping System (SVMS) comprised of a GPS receiver, two streambank-facing video cameras, and thalweg depth sensor gathered continuous georeferenced data on both streambanks in a single pass. A modification of the commonly applied Bank Erosion Hazard Index was used to classify streambank conditions. The modified index, named the Bank Erosion Susceptibility Index (BESI), was derived from a combination of the variables including bank angle, bank height, bankfull height, channel depth, bank surface protection, and riparian diversity. These variables were combined into a four-parameter model to estimate bank erosion susceptibility. Using the SVMS, two stream segments in Tennessee were surveyed. In 1.33 hours, 7.7 km of the New River and in 1.08 hours, 7.6 km of Beaver Creek were surveyed for an average collection rate of 6.3 km/h. Maps of streambank erosion susceptibility were developed and the streambank health of the two stream reaches were compared. For each streambank, variables were visually classified from the georeferenced video by five independent observers. To assess the accuracy of the SVMS approach site field measurements were physically collected and compared to the video assessments with average errors less than 5 percent. Text Beaver Creek Brigham Young University (BYU): ScholarsArchive
institution Open Polar
collection Brigham Young University (BYU): ScholarsArchive
op_collection_id ftbrighamyoung
language unknown
topic Streambank
erosion
video
GIS
rapid assessment
spellingShingle Streambank
erosion
video
GIS
rapid assessment
Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility
topic_facet Streambank
erosion
video
GIS
rapid assessment
description Boat-mounted, georeferenced videos were used to develop a method to rapidly document streambank conditions and assess erosion susceptibility over long stream segments. Traditional streambank survey methods are often spatially limited, time-consuming, and expensive. A novel Streambank Video Mapping System (SVMS) comprised of a GPS receiver, two streambank-facing video cameras, and thalweg depth sensor gathered continuous georeferenced data on both streambanks in a single pass. A modification of the commonly applied Bank Erosion Hazard Index was used to classify streambank conditions. The modified index, named the Bank Erosion Susceptibility Index (BESI), was derived from a combination of the variables including bank angle, bank height, bankfull height, channel depth, bank surface protection, and riparian diversity. These variables were combined into a four-parameter model to estimate bank erosion susceptibility. Using the SVMS, two stream segments in Tennessee were surveyed. In 1.33 hours, 7.7 km of the New River and in 1.08 hours, 7.6 km of Beaver Creek were surveyed for an average collection rate of 6.3 km/h. Maps of streambank erosion susceptibility were developed and the streambank health of the two stream reaches were compared. For each streambank, variables were visually classified from the georeferenced video by five independent observers. To assess the accuracy of the SVMS approach site field measurements were physically collected and compared to the video assessments with average errors less than 5 percent.
format Text
title Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility
title_short Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility
title_full Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility
title_fullStr Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility
title_full_unstemmed Georeferenced Video Mapping to Classify Streambank Erosion Susceptibility
title_sort georeferenced video mapping to classify streambank erosion susceptibility
publisher BYU ScholarsArchive
publishDate 2019
url https://scholarsarchive.byu.edu/josh/vol15/iss2/3
https://scholarsarchive.byu.edu/context/josh/article/1121/viewcontent/Georeferenced_Video_Mapping_to_Classify_Streambank_Erosion_Susceptibility.pdf
genre Beaver Creek
genre_facet Beaver Creek
op_source Journal of Spatial Hydrology
op_relation https://scholarsarchive.byu.edu/josh/vol15/iss2/3
https://scholarsarchive.byu.edu/context/josh/article/1121/viewcontent/Georeferenced_Video_Mapping_to_Classify_Streambank_Erosion_Susceptibility.pdf
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