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Spatial datasets to support analysis of the influence of tributary junctions on patterns of fluvial features and riparian vegetation along the Colorado and Dolores Rivers (Utah and Colorado)

Dates

Publication Date
Time Period
2014-09
Time Period
2013-09

Citation

Tavernia, B.G., Rasmussen, C.G., White, M.S., Shafroth, P.B., Chapman, T.B., and Sanderson, J.S., 2018, Spatial datasets to support analysis of the influence of tributary junctions on patterns of fluvial features and riparian vegetation along the Colorado and Dolores Rivers (Utah and Colorado): U.S. Geological Survey data release, https://doi.org/10.5066/P9SY23J3.

Summary

To examine potential influence of tributaries on riparian habitat complexity along ~216 km of the Colorado River in Utah and ~300km of the Dolores River in Colorado and Utah, we first classified fluvial features and land cover of the bottomland on remotely sensed imagery. We then examined riparian and geomorphic patterns within the near channel zone with variably-sized spatial units. We used supervised image classification to create a 2-m resolution map of the primary land cover types within bottomlands of the Colorado and Dolores rivers, including two anthropogenic classes, four vegetation classes, bare ground, water and shadow. We selected these cover classes as major vegetation and land cover types that could be discerned from imagery. [...]

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Attached Files

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ColoradoDoloresRiverAnalysis.zip 27.61 MB
ColoradoDoloresRiver_projlvl.xml
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Purpose

Tributaries were identified to determine if the distance to tributaries influenced cover or channel class characteristics. Thiessen polygons provide a unit of analysis for assessing riverine or riparian features, for example, percent of bare ground. Cover and channel classes enabled an investigation of the distance to tributary effects on cover and channel classes of the mainstem Colorado and Dolores Rivers.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9SY23J3

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