BERA Thesis Documents

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Masters Thesis

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Remote Sensing Boreal Coarse Woody Debris
Gustavo Lopes Queiroz
University of Calgary
2019

[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2019%2F06%2FMGIS_Project_KiranBasran_MAY2019.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Mapping Depth to Water (DTW) in Alberta’s Boreal Region Using Remote Sensing Techniques
Kirandeep Kaur Basran
University of Calgary
2019[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2018%2F12%2FMasterarbeit_Dietmaier_20181130.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Comparison of airborne laser scanning and digital aerial photogrammetry for characterizing canopy openings in the boreal forest in Alberta, Canada
Annette Dietmaier
Ludwig Maximilian University of Munich
2018[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2018%2F06%2FSemisupervized-Object-Detection-in-UAV-Image.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Semisupervized Object Detection in UAV Images
Michael Fromm
Ludwig Maximilian University of Munich
2018[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2017%2F09%2FWilson_Scott_J_201709_MSc.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Use of an Acoustic Location System to Understand Songbird Response to Vegetation Regeneration on Reclaimed Wellsites in the Boreal Forest ofAlberta
Scott J. Wilson
Department of Biological Sciences
University of Alberta
2017[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2017%2F09%2FCharchuk_Thesis_VFinal.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Boreal songbird response to understory protection 6 harvesting in Alberta, Canada
Connor James Charchuk
Department of Biological Sciences
University of Alberta
2017[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2017%2F09%2FShijuan-Chen-Masters-thesis.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Characterizing Vegetation Structure on Anthropogenic Disturbances Features in Alberta’s Boreal Forest with Unmanned Aerial Vehicles
Shijuan Chen
Department of Geography
University of Calgary
2017[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:https%3A%2F%2Fdrive.google.com%2Ffile%2Fd%2F1uP9dO8TRDP7x3YF0wmza68W6jtFaFLEb%2Fview||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Detection and Classification of Coniferous Seedlings from UAV Imagery: An Object-Based Machine-Learning Approach
Corey Feduck
Department of Geography
University of Calgary
2016[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][/vc_section][vc_column][/vc_column][vc_section][vc_row][vc_column][vc_column_text]

Honours Thesis

[/vc_column_text][vc_separator color=”black” border_width=”3″][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2018%2F06%2FKuzmich.GeoBio.Thesis.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Detection and Classification of Forest Disturbances in the Alberta Oil Sands Region using Landsat Time Series Data
Rachel Kuzmich
Trent University
2017[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][vc_row][vc_column width=”1/4″][vc_icon icon_fontawesome=”fa fa-file-pdf-o” color=”green” size=”lg” align=”center” link=”url:http%3A%2F%2Fberaproject.org%2Fwp-content%2Fuploads%2F2018%2F06%2FGWilliamsThesis2017.pdf||target:%20_blank|”][/vc_column][vc_column width=”3/4″][vc_column_text]Comparison of UAV–based camera data to multispectral sensor imagery for determining structural characteristics of a coniferous forest
Griffin Williams
Trent University
2017[/vc_column_text][/vc_column][vc_column][vc_separator][/vc_column][/vc_row][/vc_section]