Dr. JASON PARENT
Assistant Research Professor
Department of Natural Resources and the Environment
University of Connecticut U-87,
1376 Storrs Road
Storrs, CT 06269-4087
|Ph.D. 2014||Geomatics / Landscape Ecology||University of Connecticut|
|M.S. 2006||Natural Resources - Earth Resources Information Systems||University of Connecticut|
|B.S. 2002||Environmental Science and Biology||University of Connecticut|
|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|
|2016 - present||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|
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.
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