Jason Parent

Adjunct Professor

Department of Natural Resources & the Environment

---

Titles:

Adjunct Professor

Education:

• PhD 2014 Geomatics / Landscape Ecology, University of Connecticut
• MS 2006 Natural Resources – Earth Resources Information Systems, University of Connecticut
• BS 2002 Environmental Science and Biology, University of Connecticut

Professional Experience:

• 2019 – Present Adjunct professor, Department of Natural Resources and the Environment, University of Connecticut
• 2016 – 2019 Assistant research professor, Department of Natural Resources and the Environment, University of Connecticut
• 2014 – 2015 Postdoctoral research associate, Department of Natural Resources and the Environment, University of Connecticut

Courses Taught:

• NRE 5585 Geospatial Data Processing Techniques (online) Developing Custom Geoprocessing Tools with Python
• NRE 4575/5575 Natural Resource Applications of GIS
• NRE 5461 Landscape Ecology

Research Interests:

My research interests are in using remote sensing and geospatial analysis to address issues related to natural resources. My current research focuses on using remote sensing to help utility companies more effectively manage roadside trees to reduce power outages.

Publications:

• Parent, J. and J. Volin. 2016. Validating Landsat-based landscape metric with fine-grained land cover data. Ecological Indicators 60, 668-677.
• Parent, J. and J. Volin. 2015. Assessing species-level biases in tree heights estimated from terrain-optimized leaf-off airborne laser scanner (ALS) data. International Journal of Remote Sensing 36:10, 2697-2712, DOI: 10.1080/01431161.2015.1047047.
• Parent, J., J. Volin, D. Civco. June 2015. A fully-automated approach to land cover mapping with airborne LiDAR and high resolution multispectral imagery in a forested suburban landscape. ISPRS Journal of Photogrammetry and Remote Sensing 104: 18-29.
• Parent J., M. Graziano, X. Yang. 2014. The potential of using forest residue to offset coal use in co-fired coal power plants in the eastern United States. International Journal of Agricultural and Biological Engineering 7: 99-105
• Parent, J., and J.C. Volin. 2014. Assessing the Potential for Leaf-off LiDAR Data to Model Canopy Closure in Temperate Deciduous Forests. ISPRS Journal of Photogrammetry and Remote Sensing 95: 134-145. DOI: 10.1016/j.isprsjprs.2014.06.009