2019-07-02
Chris Hopkinson1, Stefan Kienzle1, Stew Rood1, Dave Sauchyn2, Larry Flanagan1, Laura Chasmer1 Brian Brisco3, Adam Collingwood4 1: University of Lethbridge, Lethbridge, AB. 2: University of Regina, Regina, SK. 3: Natural Resources Canada, Ottawa, ON. 4: Parks Canada, Waterton, AB.
Credit: Thomas Porter
Hopkinson et al, 2019 http://artemis-lab.strikingly.com/ Water Innovation Forum
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Outline Program components Monitoring examples Kenow Fire expansion Multispectral lidar facility
Note: summarising ~ 20 conference presentations so this is a high level overview
Hopkinson et al, 2019 Water Innovation Forum
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Westcastle WIP program components
Water resource assessment & scaling methods Remote sensing-based snow & runoff monitoring New vegetation monitoring procedures Changing headwater attributes Land cover change and controls Climate change impacts on runoff Post-Kenow fire landscape recovery Multi-scale landcover regeneration trajectories Spatio-temporal shifts in snowpack, ET & melt
Hopkinson et al, 2019 Water Innovation Forum
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Study Watershed Infrastructure
Ridge Syncline Chutes NW SE
Mid Mountain NE Valley
Barnaby SW
U of L WFS Stream Gauge
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2019-07-02 http://artemis.uleth.ca:8080/CastleMet/index.html
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Southeast view Ridge into Valley http://artemis.uleth.ca:8080/CastleMet/index.html
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Snowpack monitoring array & depth/density validation
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Airborne LiDAR snow depth monitoring
Objective Better understand snowpack controls
Can snowpack depth be modeled from flight line sampling & machine learning?
Targeting mid - late winter accumulation & early ablation period
Hopkinson et al, 2019 Water Innovation Forum
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Aspect Elevation
Terrain morphology Canopy cover
Credit: Kelsey Cartwright, MSc 10
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Snowpack depth spatial imputation model drivers
Random Forest model input data layers
Credit: Kelsey Cartwright, M.Sc. Hopkinson et al, 2019 Water Innovation Forum
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Snow depth models binned by elevation class
Aggregate elevation 2 LiDAR vs RF depth 1.8 RMSE < 0.2m 1.6 r2 > 0.8 1.4 1.2 1
0.8 Snow Depth (m) Snow Depth 0.6 0.4 0.2
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2000 1700 2300 2600 Elevation m asl LiDAR RF RF SDev LiDAR SDev
Credit: Kelsey Cartwright, M.Sc. Hopkinson et al, 2019 Water Innovation Forum
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SAR mountain snow surface melt monitoring
February 2017 April 2017 June 2017 Raw SAR Imagery Dry Snow Wet Snow Wet Snow
Credit: Dennis Quick, M.Sc. (in progress) Hopkinson et al, 2019 Water Innovation Forum
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SAR-based snow wetting front mapping
Dry snow invisible to C-Band SAR
As water content increases, scattering changes from volume to surface
Last Month with snow melt March 22 2017 April 15 2017 May 9 2017 June 2 2017 June 26 2017
Credit: Dennis Quick, M.Sc. (in progress)
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Site-scale snow depth & cover with UAV & TLS
Credit: Thomas Porter & Celeste Barnes, PhD (ABD) 15
Time series terrestrial lidar snow surface profiles
03-04 100m along valley 04-09 04-15 04-19 04-25 04-26 04-27
50m across valley
Credit: Thomas Porter & Celeste Barnes, PhD (ABD) 16
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In situ snow profiling with LED ranging
16 beams 45o field of view 940 nm wavelength 1Hz samples / 15 min Low cost Low power Credit: Barnes, Xi, Porter Hopkinson et al, 2019 Water Innovation Forum
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Time-series snow
depth profile Depth Depth (m)
Hopkinson et al, 2019 Water Innovation Forum
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3D canopy leaf area index with Leddar & webcam – Fusion Scanning System (FSS)
Credit: Zhouxin Xi, Ph.D Hopkinson, 2019 Water Innovation Forum
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Standard FSS hemi generated DHP hemi image
Leddar FSS 3D hemi hemi range image
Credit: Zhouxin Xi, Ph.D
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Oblique photography treeline change 1914 2006
Credit: Mountain Legacy Project Credit: Dave McCaffrey, M.Sc.
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Century-scale forest cover changes
Credit: Dave McCaffrey, M.Sc. 22
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Waterton extension of Westcastle WIP program Kenow Fire vegetation regeneration & impact on snowpack
Credit: Laura Chasmer MET & flux tower
Credit: Larry Flanagan
UAV & TLS plots Airborne & terrestrial Lidar, UAV, field plot, eddy flux & meteorological monitoring
Hopkinson et al, 2019 Water Innovation Forum
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Drone-based snowpack & vegetation monitoring Credit: Thomas Porter
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MS Lidar vegetation recovery monitoring Start: July 2018
Pseudo active NDVI
3 band lidar composite image
Active burn ratio index
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WEDC-funded Ecosystem Diagnostic Imaging Facility to support environmental monitoring & natural hazard assessment / mitigation R&D
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Thank you!
CFI NSERC LeddarTech Castle Mountain Resort Alberta Environment & Parks Campus Alberta Innovates Program Alberta Innovates Energy Environment Solutions Canada Centre for Remote Sensing Tough Country Comms Sawback Technologies Campbell Scientific Airborne Imaging Teledyne Optech Parks Canada
HQP Trainees: Andreichuk, Aspinell, Barnes, Berry, Bexte, Cartwright, Deering, Ilich, Jones, Kerr, Kienzle, Parsons, Mahoney, McCaffrey, Montgomery, Okhrimenko, Porter, Quick, Scott, Xi
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