Joel Rowland Los Alamos National Laboratory jrowland@lanl.gov https://orcid.org/0000-0001-6308-8976 Sophie Stauffer Los Alamos National Laboratory sophie.stauffer@gmail.com U.S. DOE > Office of Science > Biological and Environmental Research (BER) http://dx.doi.org/10.13039/100006206 fundingOrganization 2020-07-19 This dataset provides the tabular summary of analysis of an alluvial floodplain reach of the East River, downstream of Gothic, CO near Crested Butte. The measurements include bank erosion and accretion rates, channel width, bank curvature, and the aspect/orientation of the river banks. The measurements were derived from binary masks of the location of the river channel from aerial and satellite imagery collected on seven dates over a sixty-year timespan: 1955, 1973, 1983, 1990, 2001, 2011, and 2015. 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: ). Rates of change along the East River were measured over a total of 8-time intervals: 1955-1973; 1955-2015; 1973-1983; 1983-1990; 1990-2001; 2001-2011; 2001-2015; and 2011-2015. 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 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. 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 > 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 CATEGORICAL:NONE bank erosion river width bank accretion river bank curvature sinuosity VARIABLE:NONE

Sutfin, N., Rowland, J., Fratkin, M., Stauffer, S., Carroll, R., Brown, W., and Williams, K., (in review), River bank erosion and lateral accretion linked to hydrograph recession and flood duration in a snowmelt-dominated system. Water Resources Research. Rowland, J. C., E. Shelef, P. A. Pope, J. Muss, C. Gangodagamage, S. P. Brumby, and C. J. Wilson (2016), A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery, Remote Sensing of Environment, 184, 212-228. doi:10.106/j.rse.2016.07.005

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Floodplain reach of the East River downstream of Gothic Colorado, U.S.A., near Crested Butte -106.965998 -106.904584 38.93736 38.86351 1955-10-15 2015-09-24 Joel Rowland Los Alamos National Laboratory jrowland@lanl.gov https://orcid.org/0000-0001-6308-8976 Incorporating the Hydrological Controls on Carbon Cycling in Floodplain Ecosystems into Earth System Models (ESMs) This dataset was derived from binary masks generated from aerial and satellite imagery acquired on seven dates over a sixty-year time period. The following summarizes the dates of the imagery, imagery source, imagery type, and acquisition platform: Acquisition Date Imagery Source Imagery type Acquisition Platform October 15, 1955 Army Map Service Black & White Aerial Photograph August 4, 1973 NASA Color Infrared Aerial Photograph September 22, 1983 NAHP Color Infrared Aerial Photograph September 13, 1990 NAPP Color Infrared Aerial Photograph September 21, 2001 DOQ/NAPP Black & White Aerial Photograph August 7, 2011 NAIP Color & Near IR Aerial Photograph September 15, 2015 World View 2 Multispectral Satellite where NAHP is the National High Altitude Photography program, NAPP is the National Aerial Photography Program, and NAIP is the National Agricultural Imagery Program. The binary masks of the imagery were analyzed using the Spatially Continuous Riverbank Erosion and Accretion Measurements (SCREAM) software. (Rowland et al. 2016) Masks for color and multiband imagery were generated using eCognition (Flanders et al. 2003). River channels were manually mapped for the black and white imagery in geographical information system (GIS) software. There 4 types of text files in this data package. Each file contains the date of the imagery analyzed or the date range for files summarizing changes along the river. Rates of change along the East River were measured over a total of 8-time intervals: 1955-1973; 1955-2015; 1973-1983; 1983-1990; 1990-2001; 2001-2011; 2001-2015; and 2011-2015. ************************************************************************* *AllbankSummary.csv A single *AllbankSummary.csv file exists for each river at each time interval a mask was generated. The files provide a set of planform attributes of the river measured at every single pixel in the image identified as a river bank. The columns in these files include: Column key: Col: the column location of the bank pixel in the binary mask raster referenced to the upper left hand corner starting at 0,0. Row: the row location of the bank pixel in the binary mask raster referenced to the upper left hand corner starting at 0,0. Width(m): the channel width in meters at that bank location measured normal to the river channel at that location. In multi-threaded rivers these widths are of the individual channel threads. Curvature (1/m): the curvature along the river bank in 1/meters measured over distances two and four channel widths centered upstream and downstream of the individual pixel and averaged. Radius(m): Radius of curvature in meters. The inverse of the bank curvature. NormRadius: the radius of curvature divided by the local channel width. Aspect(deg): the direction normal to the bank face from 0 to 359. 0 = north facing, 90 = east facing, 180 = south facing, and 270 = west facing. ************************************************************************** SummaryErodeStartyear_Endyear.csv and SummaryAccreteStartyear_Endyear.csv For each interval over which a change in the river location was measured by differencing two binary masks there exists a *summaryErode.csv and *summaryAccrete.csv. The erode file has values associated with bank pixels from the first time interval in the mask pair and the accrete file is associated with the mask generated from the second time interval. This association of erosion with time 1 and accretion with time 2 is due to the fact in multi-threaded rivers island may completely disappear or develop over the time interval between the image acquisition. Since the SCREAM methodology uses a river bank reference frame all measurements must be associated with a bank pixel. Column key: Col: the column location of the bank pixel in the binary mask raster referenced to the upper left hand corner starting at 0,0. Row: the row location of the bank pixel in the binary mask raster referenced to the upper left hand corner starting at 0,0. Latitude – Latitude of the midpoint of the channel segment in which the bank pixel is located, the latitude and longitude coordinates allow for cross-referencing the individual pixels to channel segment metric presented in the “Segments” files described below. Longitude - Latitude of the midpoint of the channel segment in which the bank pixel is located, the latitude and longitude coordinates allow for cross-referencing the individual pixels to channel segment metric presented in the “Segments” files described below. Width(m): the channel width in meters at that bank location measured normal to the river channel at that location. In multi-threaded rivers these widths are of the individual channel threads. Erosion/AccretionRate (m/yr): the distance the bank location changed over the time interval divided by the duration in years of the time interval. Rates are in meters per year. 0 values indicate non-detectable change in the bank location. WidthNormErosion/Accretion(1/yr): the erosion/accretion rate divided by the local channel width. Values are in fraction of channel widths per year or 1/year. Aspect(deg): the direction of the bank face from 0 to 359. 0 = north facing, 90 = east facing, 180 = south facing, and 270 = west facing. Curvature (1/m): the curvature along the river bank in 1/meters measured over distances two and four channel widths centered upstream and downstream of the individual pixel and averaged. Radius(m): Radius of curvature in meters. The inverse of the bank curvature. WidthNormRadius: the radius of curvature divided by the local channel width. *************************************************************************** ErosionbySegmentsStartyear_Endyear.csv AccretionbySegmentsStartyear_Endyear.csv Files with “Segments” in name provide data that is averaged along segments of the East River. These data are given by time interval. These segments are approximately 10 channel widths in length. File name convention: ErosionbySegments or AccretionbySegments followed by the time interval the of measurements. Column key: DownstreamDistance(m)_SegmentCL – Distance in meters along the channel center line. Distance is from the upstream starting point of the river segment to the mid-point of the averaging segment. DownstreamDistance(m)_CommonCL – In the SCREAM analysis, the locations of erosion measurements are spatially referenced to the location of the river channel in the imagery at the beginning of the time interval. Accretion measurements are spatially referenced to the location of the river channel in the imagery at the end of the time interval. Due to changes in river length between time 1 and time 2 distances along the channel centerlines are not always coincident between time 1 and 2. An averaged or “merged” centerline was generated by combining the two channel masks and finding the centerline of this combined channel mask. The merged distances are the distance in meters along the common mask centerline from the upstream starting point to the midpoint of the segment. The merged distances provide a common reference distance to compare the segment-based metrics between the two time intervals. SegmentLength(m) – The length of the segment in meters measured along the channel centerline for the date of the river mask. Time 1 for erosion, Time 2 for Accretion. Segment_Latitude – Latitude of the midpoint of the channel segment. Segment_Longitude - Latitude of the midpoint of the channel segment. Erosion/Accretion_mean(m/yr) / Accretion_mean(m/yr) – Mean of all individual bank erosion/accretion rates in meters per year measured in the river segment. The mean includes pixels with detectable and non-detectable (assigned a value of 0) erosion rates. Erosion/Accretion_median(m/yr) - Median of all individual bank erosion/accretion rates in meters per year measured in the river segment. The median includes pixels with detectable and non-detectable (assigned a value of 0) erosion rates. Erosion_StdDev(m/yr)/Accretion_StdDev(m/yr) – Standard deviation of the mean of all individual bank erosion/accretion rates measured in the river segment. Erosion_SE(m/yr)/Accretion_SE(m/yr) - Standard error of the mean of all individual bank erosion/accretion rates measured in the river segment. numberErodingPixels/numberAccretingPixels – Number of bank pixels with erosion/accretion values used to calculate the mean and median rates for the segment. Includes pixels with both detectable and non-detectable rates, bank pixels not included in this count represent accreting pixels in the erosion mask and eroding pixels in the accreting mask. PercentageErodingBanks/PercentageAccretingBanks – Percentage of bank pixels with erosion or accretion values used to calculate the mean and median rates for the segment relative to the total number of bank pixels in the entire segment. Includes both detectable and non-detectable erosion rates. TotalBankLenght(m) – Total length of all banks in meters in the river segment. TotalIslandBankLength(m) - Total length of banks in meters associated with islands in the river segment. NumberofIslands – Number of islands in the river segment. IslandArea(m^2) – Total area of islands in square meters in the river segment. Total_Erosion(m^2)/ Total_Accreting(m^2) – Total area of erosion/accretion in square meters in the segment. Total_Channel_Area(m^2) – Total area of river channel in square meters in the segment WnormErosion/Accretion(W_c/yr) – Segment averaged width-normalized erosion/accretion rate in the segment. Units of 1/yr or fraction of channel width per year. The normalized erosion rates are calculated by dividing the individual bank pixel-based erosion/accretion rates by the bank pixel-based widths then averaging all the width-normalized values in the segment. WnormErosion/Accretion_StdDev(W_c/yr) – Standard deviation of the segment averaged width-normalized erosion rate. Sinuosity – The segment averaged sinuosity. The values averaged in the segment are calculated at every pixel on the channel centerline. The sinuosity is calculated using a moving window 100 average channel widths in length. Over this interval, the distance along the channel centerline is divided by straightline distance of the segment. Width_mean(m) – Average width in meters, of all measured channel widths in the segment. Channel width is measured at each bank pixel. Width_Stdev(m) – Standard deviation of the mean channel widths in the segment. Width_SE(m) – Standard error of the mean of the channel widths in the segment. TotalWidth(m) – The segment averaged total width of all channels in meters. Calculated by dividing the total area of the channel by the segment length. References Flanders D, Hall-Beyer M, Pereverzoff J (2003) Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction. Can J Remote Sens 29(4):441–452. 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. Joel Rowland Los Alamos National Laboratory jrowland@lanl.gov Principal Investigator SummaryErode_Accrete.zip application/zip AllbankSummaries.zip application/zip SegmentFiles.zip application/zip