Peer-reviewed Journal Articles


Seismic line width and orientation influence microclimatic forest edge gradients and tree regeneration
CMA Franklin, AT Filicetti, SE Nielsen
Forest Ecology and Management 492 (2021) 119216


Disturbing to restore? Effects of mounding on understory communities on seismic lines in treed peatlands
LFI Echiverri, SE Macdonald, SE Nielsen
Canadian Journal of Forest Research 50 (12), 1340-1351 1 2020

Tree regeneration on industrial linear disturbances in treed peatlands is hastened by wildfire and delayed by loss of microtopography
AT Filicetti, SE Nielsen
Canadian Journal of Forest Research 50 (9), 936-945 4 2020

Seismic line disturbance alters soil physical and chemical properties across boreal forest and peatland soils
SJ Davidson, EM Goud, C Franklin, SE Nielsen, M Strack
Frontiers in Earth Science 8, 281

The Forest Line Mapper: A Semi-Automated Tool for Mapping Linear Disturbances in Forests
GL Queiroz, GJ McDermid, MM Rahman, J Linke
Remote Sensing 12 (24), 4176

Estimating Coarse Woody Debris Volume Using Image Analysis and Multispectral LiDAR
GL Queiroz, GJ McDermid, J Linke, C Hopkinson, J Kariyeva
Forests 11 (2), 141

Estimating Individual Conifer Seedling Height Using Drone-Based Image Point Clouds
G Castilla, M Filiatrault, GJ McDermid, M Gartrell
Forests 11 (9), 924

Use of an unmanned aerial vehicle and sound localization to determine bird microhabitat
SJ Wilson, RW Hedley, MM Rahman, EM Bayne
Journal of Unmanned Vehicle Systems, 1-8

Modeling the occurrence of the Yellow Rail (Coturnicops noveboracensis) in the context of ongoing resource development in the oil sands region of Alberta
R Hedley, L McLeod, D Yip, D Farr, P Knaga, K Drake, E Bayne
Avian Conservation and Ecology 15 (1)

Distance truncation via sound level for bioacoustic surveys in patchy habitat
RW Hedley, SJ Wilson, DA Yip, K Li, EM Bayne
Bioacoustics, 1-21 1 2020


Caribou conservation: restoring trees on seismic lines in Alberta, Canada
AT Filicetti, M Cody, SE Nielsen
Forests 10 (2), 185 10 2019

High precision altimeter demonstrates simplification and depression of microtopography on seismic lines in treed peatlands
CJ Stevenson, AT Filicetti, SE Nielsen
Forests 10 (4), 295 5 2019

Comparison of LiDAR and digital aerial photogrammetry for characterizing canopy openings in the Boreal Forest of Northern Alberta
A Dietmaier, GJ McDermid, MM Rahman, J Linke, R Ludwig
Remote Sensing 11 (16), 1919

Automated detection of conifer seedlings in drone imagery using convolutional neural networks
M Fromm, M Schubert, G Castilla, J Linke, G McDermid
Remote Sensing 11 (21), 2585

Mapping coarse woody debris with random forest classification of centimetric aerial imagery
G Lopes Queiroz, GJ McDermid, G Castilla, J Linke, MM Rahman
Forests 10 (6), 471

Petroleum exploration increases methane emissions from northern peatlands
M Strack, S Hayne, J Lovitt, GJ McDermid, MM Rahman, S Saraswati, …
Nature communications 10 (1), 1-8

Songbird community response to regeneration of reclaimed wellsites in the boreal forest of Alberta
SJ Wilson, EM Bayne
Journal of Ecoacoustics 3, 1-11 4 2019


Fire and forest recovery on seismic lines in sandy upland jack pine (Pinus banksiana) forests
AT Filicetti, SE Nielsen
Forest Ecology and Management 16 2018

UAV Remote Sensing Can Reveal the Effects of Low‐Impact Seismic Lines on Surface Morphology, Hydrology and Methane (CH4) Release in a Boreal Treed Bog
J Lovitt, M Rahman, S Saraswati, GJ McDermid, M Strack, B Xu
Journal of Geophysical Research: Biogeosciences

Detection of Coniferous Seedlings in UAV Imagery
C Feduck, J McDermid, Gregory, G Castilla
Forests 9 (7), 432

Sound localization for estimating population densities of birds: Progress, challenges, and opportunities
RW Hedley, EM Bayne
The Journal of the Acoustical Society of America 144 (3), 1849-1849 2018

Use of an acoustic location system to understand how presence of conspecifics and canopy cover influence Ovenbird (Seiurus aurocapilla) space use near reclaimed wellsites in the boreal forest of Alberta
S Wilson, E Bayne
Avian Conservation and Ecology 13 (2)

Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
SE Franklin, OS Ahmed
International Journal of Remote Sensing 39 (15-16), 5236-5245 66 2018

Pixel-and object-based multispectral classification of forest tree species from small unmanned aerial vehicles
SE Franklin
Journal of Unmanned Vehicle Systems 6 (4), 195-211

Detection accuracy of new well sites using Landsat time series data: a case study in the Alberta Oil Sands Region
RJ Wasson, SE Franklin
Remote Sensing Letters 9 (2), 160-169 1 2018


Effects of linear disturbances and fire severity on velvet leaf blueberry abundance, vigor, and berry production in recently burned jack pine forests
CA Dawe, AT Filicetti, SE Nielsen
Forests 8 (10), 398 10 2017

Use of unmanned aerial vehicles for monitoring recovery of forest vegetation on petroleum well sites
JN Hird, A Montaghi, GJ McDermid, J Kariyeva, BJ Moorman, SE Nielsen, …
Remote Sensing 9 (5), 413

Measuring vegetation height in linear disturbances in the boreal forest with UAV photogrammetry
S Chen, GJ McDermid, G Castilla, J Linke
Remote sensing 9 (12), 1257

Google earth engine, open-access satellite data, and machine learning in support of large-area probabilistic wetland mapping
JN Hird, ER DeLancey, GJ McDermid, J Kariyeva
Remote sensing 9 (12), 1315

Northern conifer forest species classification using multispectral data acquired from an unmanned aerial vehicle
SE Franklin, OS Ahmed, G Williams
Photogrammetric Engineering & Remote Sensing 83 (7), 501-507 22 2017

Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle
OS Ahmed, A Shemrock, D Chabot, C Dillon, G Williams, R Wasson, …
International journal of remote sensing 38 (8-10), 2037-2052 75 2017

Object-based wetland characterization using radarsat-2 quad-polarimetric SAR data, landsat-8 OLI imagery, and airborne lidar-derived geomorphometric variables
SE Franklin, OS Ahmed
Photogrammetric Engineering & Remote Sensing 83 (1), 27-36 22 2017