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Shantel Koenig, PhD. Landscape Ecologist, GIS, modelling, statistics, spatial analysis, connectivity, corridors, environmental consultant, ecological services, wildlife biology, edmonton, alberta,

Shantel Koenig
Landscape Ecologist, GIS Specialist

PhD Geography
University of Calgary, 2018

MGIS (Masters in Geographic Information Systems)
University of Calgary, 2011

BSc Biological Sciences - Environmental Biology
University of Alberta, 2004

Expertise:

Shantel has a strong understanding of novel and newly emerging remote sensing methods and techniques that can be used to identify, map, and assess environmental features to more accurately and objectively assess the structure, function, condition, and value of landscapes.

Using her extensive GIS, statistical, and remote sensing experience, Shantel is able to produce spatially explicit information about habitat and landscape features that can be used by managers to make more informed land use decisions. For example, Shantel is currently responsible for processing and analyzing UAS-derived 3D soil moisture maps to understand the relationship between crop productivity and wetland management practices in agricultural landscapes. She has also been instrumental in developing GIS methods for quantifying riparian intactness and pressure on riparian system function in Alberta, which have been adopted as standards by the provincial government. In addition, she is routinely involved in the development and assessment of criteria and metrics that can be used to assess the condition of and risk to natural features in a GIS environment.

Experience:

Shantel is a Sr. Landscape Ecologist & GIS Specialist with 15 years of academic and professional experience in the areas of spatial ecology and conservation biology. She has an extensive background in the environmental applications of GIS, with a focus on data creation, integration, and analysis for the purpose of landscape assessment and management. Shantel regularly works with multispectral and hyperspectral imagery and LiDAR data from UAS, airborne, and satellite platforms, and has used advanced image processing techniques, including machine learning and object-based image analysis, to create natural habitat inventories.


Notable Work:

  • Landscape Connectivity Metric Assessment for the Biodiversity Monitoring Framework (BMF).
  • Riparian Assessment of Lakes and Watercourses in the North Saskatchewan Watershed for Alberta Environment and Parks.
  • Investigating the use of Spatial Interaction Models (SIMs) to analyze landscape connectivity and the role the matrix plays in connective of patchy landscapes in fulfilment of a PhD.
  • Worked with the Alberta Biodiversity Monitoring Institute at the University of Alberta, to digitize land cover and human footprint.


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