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PROJECTS - GIS/Database
The following examples are some of the recent projects that Glenside has undertaken

Landscape Habitat Quality Assessment

Haliburton Highlands Land TrustHabitat

  • Synthesized multiple landcover datasets into a comprehensive dataset for the County of Haliburton;
  • Conducted data quality assessment and data enhancement through aerial photograph interpretation;
  • Assessed habitat quality through an evaluation of condition, diversity, ecological functions and special features;
  • Developed VBA script to calculate Forest Ecosite Classification based on forest composition.
Species at Risk Geo-referenced Database

Relational DatabaseHaliburton Highlands Land Trust/Ontario Ministry of Natural Resources/ The Land Between

  • Developed a geo-referenced relational database to house community observations of Species at Risk;
  • Designed graphical user interface to enforce data integrity and NHIC data standards;
  • Data interoperability with Excel and ArcGIS
  • Managed database and data for 5 years.
Species at Risk Habitat Modelling

Habitat modelDistrict Municipality of Muskoka/ Haliburton Highlands Land Trust

  • Researched habitat preferences of 27 Species at Risk
  • Compiled available spatial data and conducted data gap analysis
  • Developed new wetland coverage for habitat models
  • Developed habitat suitability models to predict probability of occurrences and scope field assessments
  • Conducted statistical analyses to determine significance of correlations between known occurrences and habitat suitability models
Northern Ontario Solar Project: Desktop Analysis of Candidate Sites

Nobel Energy Ltd

  • Reviewed available spatial vector data to identify natural heritage functions and features;

  • Obtained and reviewed available high resolution infrared Forest Resource Inventory aerial photography to  delineate on-site habitat types;
  • Consulted with MNR District Biologists and Municipal Planners to identify additional natural heritage data relevant to each site;
  • Queried the NHIC and BBS database for known occurrences of Species at Risk and rare species or vegetation communities; and
  • Identified potential environmental constraints.
Natural Heritage Mapping
Haliburton Highlands Land Trust/ The Land BetweenNatural Heritage Map
  • Examined existing spatial data sets to define the extent of old growth, ecosites and shoreline development adjacent to coldwater lakes.
  • Extracted data from the Great Lakes Conservation Blueprint to determine priority stewardship areas found in the County of Haliburton.
  • Applied a habitat suitability matrix to define the available habitat of species at risk and landbird conservation priorities.   
  • Analyzed results to highlight natural heritage priorities and developed a checksheet for assessing properties for land acquisition and conservation efforts.
Kushog Lake Watershed: Wetland and Stream Desktop Analysis

Kushog lakeKushog Lake Property Owners Association

  • Digitally delineated all wetland boundaries using high resolution aerial photography, surface models, topography and other base data;
  • Remotely typed wetlands using high resolution aerial photography;
  • Prioritized wetlands for further investigation based on size, known occurrences of Species at Risk and/or wetland type;
  • Produced a map depicting wetlands and wetland type;  
  • Summarized findings with recommendations for further studies;
  • Results to be integrated into the Kushog Lake/ Lake St. Nora Lake Plan.
Harcourt Park Ecological Database

Harcourt Park Inc.

  • Developed a geo-referenced relational database to house and manage ecological compartment data and rare species observations;
  • Conducted inventories of compartments (7000 ac) to verify tree species compositions and collect ground and shrub cover data;
  • Developed a module to calculate dynamic species compositions based on field data;
  • Developed dynamic ecological compartment profile reports
  • Developed dynamic reports to summarize species lists, percent coverage of ecosite classifications and rare species observations.
Sea Otter Database

Monterey Bay Aquarium and the Oiled Wildlife Care Network, California, USA

  • Developed a relational Access database to provide sea otter care facilities with a comprehensive and powerful tool for recording, storing, summarizing and analyzing all types of data associated with the captive care of sea otters
  • Sea OtterManaged database for 13 years
  • SOD facilitates the development of a knowledge base and improved techniques for sea otter housing, care, and rehabilitation for release into the wild
  • Data types incorporated into SOD include (but are not limited to): animal acquisition and disposition, feeding, housing, grooming,open-ocean training, behavioural observations, medical examination, medical diagnostics, scheduled activities, washing, and various other data types specific to otters stranded or rescued as a result of an oil spill

 

   
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