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| Type: | Resource | |
| Storage: | The size of this resource is 5.8 MB | |
| Created: | Feb 12, 2021 at 5:26 a.m. | |
| Last updated: | Feb 08, 2024 at 5:18 p.m. (Metadata update) | |
| Published date: | Feb 08, 2024 at 5:18 p.m. | |
| DOI: | 10.4211/hs.db248589a52a41c4a6f387bbefbab3a9 | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Raster Content |
| Sharing Status: | Published |
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| Views: | 925 |
| Downloads: | 65 |
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Abstract
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.
Subject Keywords
Coverage
Spatial
Content
README.txt
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
Related Resources
| This resource is described by | Sharma, A. (2023). Development and Validation of an Integrated Modeling Approach to Reconstruct the Propagation of Fluvial Sediment Pulses After Dam Removals. |
Credits
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Celso Castro Bolinaga | North Carolina State University | Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, 27606. |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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