John Roberts

Dr. John Roberts


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 August 2019 in Forests
Verified
Journal Article
Open access
PDF file
JRJohn Roberts
John Roberts
Andrew Keith KoeserAndrew Keith Koeser
Andrew Keith Koeser
AAAmr Abd-Elrahman
Amr Abd-Elrahman
BWBenjamin Wilkinson
Benjamin Wilkinson
GHGail Hansen
Gail Hansen
Ali Gonzalez PerezAli Gonzalez Perez
Ali Gonzalez Perez
Urban forests are often heavily populated by street trees along right-of-ways (ROW), and monitoring efforts can enhance municipal tree management. Terrestrial photogrammetric techniques have been used to measure tree biometry, but have typically used images from various angles around individual trees or forest plots to capture the entire stem while also utilizing local coordinate systems (i.e., non-georeferenced data). We proposed the mobile collection of georeferenced imagery along 100 m sections of urban roadway to create photogrammetric point cloud datasets suitable for measuring stem diameters and attaining positional x and y coordinates of street trees. In a comparison between stationary and mobile photogrammetry, diameter measurements of urban street trees (N = 88) showed a slightly lower error (RMSE = 8.02%) relative to non-mobile stem measurements (RMSE = 10.37%). Tree Y-coordinates throughout urban sites for mobile photogrammetric data showed a lower standard deviation of 1.70 m relative to 2.38 m for a handheld GPS, which was similar for X-coordinates where photogrammetry and handheld GPS coordinates showed standard deviations of 1.59 m and the handheld GPS 2.36 m, respectively—suggesting higher precision for the mobile photogrammetric models. The mobile photogrammetric system used in this study to create georeferenced models for measuring stem diameters and mapping tree positions can also be potentially expanded for more wide-scale applications related to tree inventory and monitoring of roadside infrastructure.

14 April 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
Andrew Keith KoeserAndrew Keith Koeser
Andrew Keith Koeser
TSTaylor Sherer
Taylor Sherer
RKRyan Klein
Ryan Klein
JRJohn Roberts
John Roberts
Nursery producers and tree giveaway hosts must do their best to anticipate demand for the wide range of species and traits available. When trying to gauge customer response to various product design choices, companies often employ conjoint analysis to determine what features garner the most customer interest. For this study, we used the method to assess various tree attributes ranging from mature size to hurricane resistance. Our findings indicate that large nursery trees significantly deter consumer interest, though it remains unclear whether this is due to their cost or physical bulk. Similarly, consumers preferred trees that grew to small- and medium-stature at maturity over large-stature trees. Trees labeled as Florida-Friendly, native, or hurricane-resistant had a strong positive effect on purchasing interest among Florida residents.