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👋 Hi, I’m Ergin C. Cankaya

University of Alberta
Remote Sensing & LiDAR | PhD Candidate @ University of Alberta
Currently conducting a study at the University of Edinburgh (UOE)

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Recent publication: Cankaya, E. C., & Radtke, P. J. (2025). Evaluating Local Calibration Methods for Improving Diameter Growth Predictions in the Southern Variant, Forest Vegetation Simulator (FVS-Sn). Forest Science, 1-30.


🌐 Featured Project: National Forest Inventory in Turkey (2025)

📢 New!
My largest and most comprehensive project to date is now publicly accessible:

🚀 Explore the National Forest Inventory Dashboard (RShiny)
🛰️ Built with R Shiny • Hosted on Microsoft Azure
🌲 Visualizes multi-year national inventory datasets with interactive tools and dynamic analytics

This platform supports integrative forest management by leveraging geospatial data, remote sensing inputs, and advanced forest metric reporting—delivered in a responsive and intuitive web interface. The application was built from scratch using R, Leaflet, Plotly, and Docker for deployment.


🎯 Research Interests

  • 🌲 Forest Growth Models (Tree allometry & Modeling)
  • 🚁 LiDAR & Photogrammetry (Mobile-Handheld, UAV, Terrestrial Laser Scanners & Hyperspectral Cameras)
  • 🛰️ Remote Sensing & GIS (Time-Series, Tree Species Classification)
  • 🤖 ML for Forestry (Machine learning, forest inventory)

🏆 Highlights

Year Activity
2025 🌐 Released: RShiny National Forest Inventory Dashboard — deployed on Microsoft Azure
2025 🗣 Oral Presentation: ISCL: A New Algorithm for Individual Tree Detection from Lidar Point Clouds, Québec City, Québec
2023 🏅 Best Poster Presentation Award at the 93rd Forest Industry Lecture Series (FILS), University of Alberta
2021 📄 Using handheld mobile LiDAR in forest inventories: A case study from Artvin-Şavşat (Read)

📚 Publications

Selected works:

  1. Cankaya, E. C. (2025). ADVANCING FOREST LAND MONITORING IN ISTANBUL REGIONAL DIRECTORATE OF FORESTRY: INTEGRATING U-NET DEEP LEARNING. [PDF]
  2. Cankaya, E. C. (2021). Using handheld mobile LiDAR technology in forest inventories: A case study from Artvin-Şavşat. Forestry Research Journal.
  3. Copenheaver, C. A., et al. (2017). Dendroarchaeology reveals influence of early-European settlement…, USA.
  4. Cankaya, E. C. (2015). Forest Road Network Effect on Forest Fire…. COFE Meeting, Lexington, KY.
  5. …and more in national and international symposiums.

💼 Experience

University of Alberta

PhD Researcher & Teaching Assistant
📍 Edmonton, Canada • Jan 2023 – Present

  • Forest growth and yield modeling using UAV & terrestrial LiDAR
  • Teaching assistant across GIS, hydrology, and forest measurement courses
  • Developer of interactive decision-support apps for forestry analytics

General Directorate of Forestry (OGM)

Remote Sensing & Forest Informatics Specialist
📍 Ankara, Turkey • May 2018 – Apr 2025

  • Led national LiDAR-based forest inventory projects
  • Integrated Sentinel-2, ALS, and multispectral data into forest planning models
  • Developed forest dashboards with R Shiny and Python for strategic management

🛠️ Technical Stack

R Python Git QGIS Docker MATLAB Microsoft Azure


📊 GitHub Stats

Ergin’s GitHub stats Top languages


✉️ Contact


_“Most of my work is open source — feel free to explore and contribute to the repositories above.”_

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  1. LULC LULC Public

    Interactive Shiny Dashboard for monitoring multi-year Land Use / Land Cover (LULC) changes in Istanbul using spatial and statistical visualizations.

    R 1

  2. UOE-Documents UOE-Documents Public

    Ulusal Orman Envanteri (UOE) Teknik Dokümantasyon Portalı

    1

  3. ITSMe ITSMe Public

    Forked from lmterryn/ITSMe

    R

  4. TreeLS TreeLS Public

    Forked from tiagodc/TreeLS

    R functions for processing individual tree TLS point clouds

    C++

  5. TreeQSM TreeQSM Public

    Forked from InverseTampere/TreeQSM

    Quantitative Structure Models of Single Trees from Laser Scanner Data

    MATLAB