Spatially Continuous Riverbank Erosion and Accretion Measurements

Title: Pan-arctic river bank erosion and accretion, and planform metrics measured over intervals ranging from 1973 to 2016

Abstract

This dataset provides the tabular summary of analysis of 14 reaches of 13 Arctic rivers for river bank erosion and accretion rates, as well as, river channel properties such as channel width, bank curvature, and the aspect/orientation of the river banks. These rivers include the: Colville River, Alaska; Indigirka River, Russia; Kolyma River, Russia; Koyukuk River, Alaska; Lena River, Alaska; Noatak River, Alaska; Ob River, Russia; Pechora River, Russia; Selawik River, Alaska; Taz River, Russia; Yana River, Russia; Yenisei River, Russia;, and the Yukon River, Alaska. The dataset was generated from a total of 114 images including: Landsat, higher resolution satellite imagery, and aerial photography over time periods ranging from the 1970s and 2016. A full list of the image dates, row and path (for Landsat), and pixel resolutions is provided in the dataset. The masks were analyzed using the Spatially Continuous Riverbank Erosion and Accretion Measurements (SCREAM) software detailed in Rowland et al. 2016. The masks used in this analysis can be found an accompanying dataset (DOI: doi:10.15485/1571525). In files with "summary" in the name, the data is provided at a pixel level, where each mapped bank pixel has an associated erosion or accretion value, a channel width, amore » curvature value, and an aspect each river and time period will have an individual file. Files with "Segments" in name provide data that is averaged along segments of the rivers. These data are consolidated into a single file each for the erosion and accretion measurements. These segments are approximately 10 channel widths in length. In addition to erosion and accretion rates, the segment-based results include area measurements of erosion and accretion, islands, and channels. The number of islands is also included.Rowland JC, et al. (2016) A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery. Remote Sens Environ 184. doi:10.1016/j.rse.2016.07.005.« less

Authors:

; Stauffer, Sophie; Schwenk, Jonathan

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1. Los Alamos National Laboratory

Contributors:

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1. Los Alamos National Laboratory

Publication Date:

Tue Oct 15 00:00:00 EDT 2019

DOE Contract Number:

DEAC3243AL00036

Research Org.:

Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Incorporating the Hydrological Controls on Carbon Cycling in Floodplain Ecosystems into Earth System Models (ESMs)

Sponsoring Org.:

U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:

54 ENVIRONMENTAL SCIENCES

Keywords:

EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES; EARTH SCIENCE > CRYOSPHERE > FROZEN GROUND; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > RIVER; EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION > EROSION; EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION > SEDIMENT TRANSPORT; EARTH SCIENCE > LAND SURFACE > FROZEN GROUND > PERMAFROST; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > CUTBANK; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > FLOOD PLAIN; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > MEANDER; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > POINT BAR; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL PROCESSES > SEDIMENT TRANSPORT; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL PROCESSES; EARTH SCIENCE > LAND SURFACE > LANDSCAPE > LANDSCAPE PATTERNS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES > RIVERS/STREAMS

Geolocation:

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OSTI Identifier:

1571527

DOI:

https://doi.org/10.15485/1571527

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Citation Formats

• MLA
• APA
• Chicago
• BibTeX

Rowland, Joel, Stauffer, Sophie, and Schwenk, Jonathan. Pan-arctic river bank erosion and accretion, and planform metrics measured over intervals ranging from 1973 to 2016. United States: N. p., 2019. Web. doi:10.15485/1571527.

Rowland, Joel, Stauffer, Sophie, & Schwenk, Jonathan. Pan-arctic river bank erosion and accretion, and planform metrics measured over intervals ranging from 1973 to 2016. United States. doi:https://doi.org/10.15485/1571527

Rowland, Joel, Stauffer, Sophie, and Schwenk, Jonathan. 2019. "Pan-arctic river bank erosion and accretion, and planform metrics measured over intervals ranging from 1973 to 2016". United States. doi:https://doi.org/10.15485/1571527. https://www.osti.gov/servlets/purl/1571527. Pub date:Tue Oct 15 00:00:00 EDT 2019

@article{osti_1571527,
title = {Pan-arctic river bank erosion and accretion, and planform metrics measured over intervals ranging from 1973 to 2016},
author = {Rowland, Joel and Stauffer, Sophie and Schwenk, Jonathan},
abstractNote = {This dataset provides the tabular summary of analysis of 14 reaches of 13 Arctic rivers for river bank erosion and accretion rates, as well as, river channel properties such as channel width, bank curvature, and the aspect/orientation of the river banks. These rivers include the: Colville River, Alaska; Indigirka River, Russia; Kolyma River, Russia; Koyukuk River, Alaska; Lena River, Alaska; Noatak River, Alaska; Ob River, Russia; Pechora River, Russia; Selawik River, Alaska; Taz River, Russia; Yana River, Russia; Yenisei River, Russia;, and the Yukon River, Alaska. The dataset was generated from a total of 114 images including: Landsat, higher resolution satellite imagery, and aerial photography over time periods ranging from the 1970s and 2016. A full list of the image dates, row and path (for Landsat), and pixel resolutions is provided in the dataset. The masks were analyzed using the Spatially Continuous Riverbank Erosion and Accretion Measurements (SCREAM) software detailed in Rowland et al. 2016. The masks used in this analysis can be found an accompanying dataset (DOI: doi:10.15485/1571525). In files with "summary" in the name, the data is provided at a pixel level, where each mapped bank pixel has an associated erosion or accretion value, a channel width, a curvature value, and an aspect each river and time period will have an individual file. Files with "Segments" in name provide data that is averaged along segments of the rivers. These data are consolidated into a single file each for the erosion and accretion measurements. These segments are approximately 10 channel widths in length. In addition to erosion and accretion rates, the segment-based results include area measurements of erosion and accretion, islands, and channels. The number of islands is also included.Rowland JC, et al. (2016) A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery. Remote Sens Environ 184. doi:10.1016/j.rse.2016.07.005.},
doi = {10.15485/1571527},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 15 00:00:00 EDT 2019},
month = {Tue Oct 15 00:00:00 EDT 2019}
}

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Source: https://www.osti.gov/dataexplorer/biblio/dataset/1571527

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