Digital Surface Models for the South Saskatchewan River, Canada

Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. DSMs were generated as part of NERC project NE/L00738X/1. DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates. Full details about this dataset can be found at https://doi.org/10.5285/13695138-227f-4d85-9049-0a9cba9e1867

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2019-10-29

Identifier: https://catalogue.ceh.ac.uk/id/13695138-227f-4d85-9049-0a9cba9e1867

Identifier: doi: / 10.5285/13695138-227f-4d85-9049-0a9cba9e1867

Other citation details: Ashworth, P., Nicholas, A. , Parsons, D., Sambrook Smith, G. (2019). Digital Surface Models for the South Saskatchewan River, Canada. NERC Environmental Information Data Centre 10.5285/13695138-227f-4d85-9049-0a9cba9e1867

University of Brighton - Ashworth, P.

University of Exeter - Nicholas, A.

University of Hull - Parsons, D.

University of Birmingham - Sambrook Smith, G.

University of Exeter - Professor Andrew Nicholas

NERC EDS Environmental Information Data Centre

NERC Environmental Information Data Centre

Keywords

Modelling
Canada
Saskatchewan River
Digital Surface Models

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Other constraints: no limitations

Use constraints: otherRestrictions

Other constraints: © Natural Environment Research Council

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Other constraints: This resource is available under the terms of the Open Government Licence

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Other constraints: If you reuse this data, you should cite: Ashworth, P., Nicholas, A. , Parsons, D., Sambrook Smith, G. (2019). Digital Surface Models for the South Saskatchewan River, Canada. NERC Environmental Information Data Centre https://doi.org/10.5285/13695138-227f-4d85-9049-0a9cba9e1867

Spatial representation type: textTable

Distance: 1500 urn:ogc:def:uom:EPSG::9001

Topic category

Inland waters
Environment

Begin date: 2015-05-13

End date: 2017-06-12

Code: WGS 84 / UTM zone 13N

Distribution Information

Data format

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Quality Scope: dataset

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Report

Dataset Reference Date (): 2010-12-08

Statement: DSMs were constructed to provide information on the morphology or the river, and changes in morphology through time (e.g. due to erosion and deposition of sediment). DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates.

The DSM was constructed from photogrammetric quality aerial plane images with a 0.06m ground resolution that were captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. The DSM was constructed from the images using a three stage process:

(1) An orthomosaic was generated from the aerial photography (using up to 160 images) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the 'large frame' supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. A point cloud was then derived following the bundle adjustment.

(2) The point cloud was checked for residual tilt using a network of Ground Control Points with coordinates that were determined by RTK differential GPS survey. The corrected point cloud density was reduced to a resolution of 0.5 m and the resulting dataset was filtered in MATLAB using a Chauvenet-type criterion. This procedure was implemented to derive the DSM in dry (non-submerged) areas of the river.

(3) In wet (submerged) areas, bed elevations were derived using a depth-brightness model as follows. First, water surface elevations at the interface between wet and dry areas of the river bed were extracted from the corrected point cloud and interpolated to generate a water surface elevation field for the submerged bed areas. Second, water depth measurements made at the time of image acquisition were located on the orthomosaic of the river, and pixel brightness values were extracted at these locations. A log-linear regression between water depth and pixel brightness was then derived, and this relationship was used to model water depth for all sub-merged bed areas. Bed elevations in these areas were determined by subtracting the predicted depth from the water surface elevation. The final DSM was derived by combining elevation values for the dry and wet bed areas.

Metadata

File identifier: 13695138-227f-4d85-9049-0a9cba9e1867 XML

Metadata Language: English (en)

Character set: ISO/IEC 8859-1 (also known as Latin 1)

Resource type: dataset

Hierarchy level name: dataset

Metadata Date: 2023-02-09T11:10:03

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK

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