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Two dams located on the Elwha River in Washington state were removed from 2011 to 2014. This resource contains a river mask prior to the removal in 2011 and three subsequent mask files from 2013, 2015, and 2017 showing the morphological evolution of the channel. The output river mask raster data were created using publicly available aerial imagery from the National Agricultural Imagery Program. First, supervised classification was performed to classify all water, non-water (vegetation, bare soil, and urban), water shadow, and non-water shadow pixels. The clear water and shadow water pixels were then reclassified as one, and finally, pixels around bridge cross sections, and additional misclassified pixels were manually corrected for each time period.
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Title: Elwha River Dam Removal - Morphological Evolution River Masks
Description:
This resource provides river mask data capturing the morphological evolution of the Elwha River in Washington state, specifically focusing on the impact of the removal of two dams between 2011 and 2014. The dataset includes a river mask prior to dam removal in 2011, along with subsequent mask files from 2013, 2015, and 2017.
Content:
The river mask raster data were generated using publicly available aerial imagery sourced from the National Agricultural Imagery Program. The processing involved a series of steps, beginning with supervised classification to categorize pixels into water, vegatation, bare soil + urban, water shadow, and non-water shadow classes. Subsequently, clear water and shadow water pixels were merged. Finally, manual corrections were applied to pixels around bridge cross-sections and specific misclassifications for each time period.
Temporal Coverage:
Pre-removal (2011)
Post-removal (2013, 2015, 2017)
Data Processing Steps:
Supervised classification used to identify water, vegatation, bare soil + urban, water shadow, and non-water shadow pixels.
Merging clear water and shadow water pixels.
Manual corrections for pixels around bridge cross-sections and certain misclassifications.
Data Source:
National Agricultural Imagery Program (NAIP) aerial imagery. Bands in the visible spectrum (Red, Green, and Blue) were used for supervised classification.
Data Services
The following web services are available for data contained in this resource. Geospatial Feature and Raster
data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted
into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server
using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to
support additional data types.
Sharma, A. (2023). Development and Validation of an Integrated Modeling Approach to Reconstruct the Propagation of Fluvial Sediment Pulses After Dam Removals.
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Author Identifiers
Celso Castro Bolinaga
North Carolina State University
Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, 27606.
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