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Forest Resources Inventory (FRI) Specialist

Ministry of Natural Resources and Forestry
9 hours ago
Temporary
On-site
Sault Ste. Marie, ON, Canada
Indeed

Loading Back to search results Apply By: Thursday, November 5, 2026 11:59 pm EST Forest Resources Inventory (FRI) Specialist Job ID: 250021 Posting status: Open Organization: Ministry of Natural Resources Division: Science and Research Branch City: Sault Ste Marie, Thunder Bay Position(s) language: English Job term: 1 Permanent, 1 Temporary assignment/contract for up to 4 months, with the possibility of extension Job code: 14504 - Geoscientist 2 Salary: $1,373.31 - $1,732.13 Per week* *Indicates the salary listed as per the OPSEU Collective Agreement. Can you look at stereo-imagery and tell the difference between poplar and birch, or spruce and balsam fir? If you can, bring your imagery interpretation experience, Geographic Information System (GIS) expertise and landscape ecological understanding into our team environment where you will be a key contributor to the Ministry of Natural Resources (MNR), in ensuring that resources are protected, valued and being used to their maximum efficiency. This position is designed to provide image interpretation support to a dynamic and integrated multi-disciplinary team of foresters, remote sensing specialists, database/modelling specialists, ecologists, resource technicians, and policy specialists engaged in an innovative lidar based area-based assessment inventory process as well as other major feature extraction projects supporting land and resource mapping across Ontario. The Ontario Public Service (OPS) is committed to being an employer of first choice, creating a positive and inclusive work environment. We offer: a defined benefit pension plan maternity and parental leave top-up benefits which includes adoptive parents comprehensive health plan life and disability insurance flexible work arrangements collegial and professional work culture career growth and development opportunities across multiple business areas on-the-job training to support your success in the role About the job In this role, you will: interpret and analyze aerial, satellite, and remotely piloted aircraft system (RPAS) imagery, lidar, elevation models, and other remote sensing data to identify forest stands, ecosystems, wetlands, soils, and non-productive areas create spatial data layers by conducting advanced image interpretation of terrestrial ecological features using high resolution imagery and point cloud data conduct quality assurance and quality control audits of forest inventory to ensure compliance with provincial standards provide continual collaboration with colleagues and senior staff support contract deliverables and oversight of contract deliverables What you bring to the team Image interpretation and technical knowledge: extensive knowledge of image interpretation and remote sensing, along with stereoscopic vision to meet FRI imagery interpretation standards extensive knowledge of GIS and spatial data analysis knowledge of forest ecology and tree identification knowledge of soils, landforms, and environmental science knowledge of forest inventory standards and quality control Analytical skills: ability to troubleshoot software and technical issues, and provide alternative solutions ability to evaluate tree species composition, age, height, crown closure, site productivity, drainage, and disturbance patterns to accurately classify forest stands and ecosystems Project management and organizational skills: time management skills to ensure project tasks and interpreted map products are completed and documented via project status reports work experience that demonstrates your ability to work on a variety of project tasks simultaneously Interpersonal and communication skills: well developed interpersonal skills to work effectively in a team environment communications skills to provide team and partners with project updates showing reports, maps and/or statistical trend analysis Computer and technological proficiency: knowledge of cloud-based storage and computing technologies knowledge of artificial intel…

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