Justin Morgenroth

Senior LecturerJustin Morgenroth

School of Forestry Rm143
Internal Phone: 95966

Qualifications & Awards

Research Interests

My research is focussed on applying geospatial data, tools, and techniques to solving applied problems. I focus primarily on forested landscapes (both native and plantation), though I have a specific interest in urban forests. I work extensively with LiDAR, aerial photography and satellite imagery datasets, within the e-Cognition (object-based image analysis), ArcGIS, and Fusion environments.

Recent Publications

  • Gomez C., Kataoka K., Saputra A., Wassmer P., Urabe A., Morgenroth JA. and Kato A. (2017) Photogrammetry-based Texture Analysis of a Volcaniclastic Outcrop-peel: Low-cost Alternative to TLS and Automation Potentialities using Haar Wavelet and Spatial-Analysis Algorithms. Forum Geografi 31(1) http://dx.doi.org/10.23917/forgeo.v31i1.3977.
  • Mason EG. and Morgenroth J. (2017) Potential for forestry on highly erodible land in New Zealand. New Zealand Journal of Forestry 62(2): 8-15.
  • Mason EG., Salekin S. and Morgenroth J. (2017) Comparison between meteorological data from the New Zealand National Institute of Water and Atmospheric Research (NIWA) and data from independent meteorological stations. New Zealand Journal of Forestry Science 47(7) http://dx.doi.org/10.1186/s40490-017-0088-0.
  • Morgenroth J., O’Neil-Dunne J. and Apiolaza LA. (2017) Redevelopment and the urban forest: A study of tree removal and retention during demolition activities. Applied Geography 82: 1-1. http://dx.doi.org/10.1016/j.apgeog.2017.02.011 or https://www.sciencedirect.com/science/article/pii/S0143622817302084.
  • Pearse GD., Morgenroth JA., Watt MS. and Dash JP. (2017) Optimising prediction of forest leaf area index from discrete airborne lidar. Remote Sensing of Environment 200: 220-239. http://dx.doi.org/10.1016/j.rse.2017.08.002.