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Trevor A. Jones
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2020 – today
- 2021
- [j6]Jay R. Malcolm, Braiden Brousseau
, Trevor A. Jones
, Sean C. Thomas
:
Use of Sentinel-2 Data to Improve Multivariate Tree Species Composition in a Forest Resource Inventory. Remote. Sens. 13(21): 4297 (2021)
2010 – 2019
- 2019
- [j5]Chen Shang, Paul M. Treitz, John Caspersen, Trevor A. Jones
:
Estimation of forest structural and compositional variables using ALS data and multi-seasonal satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 78: 360-371 (2019) - [j4]Yuhong He
, Jian Yang
, John Caspersen, Trevor A. Jones
:
An Operational Workflow of Deciduous-Dominated Forest Species Classification: Crown Delineation, Gap Elimination, and Object-Based Classification. Remote. Sens. 11(18): 2078 (2019) - 2017
- [j3]Rebecca A. Spriggs, David A. Coomes
, Trevor A. Jones
, John P. Caspersen, Mark C. Vanderwel:
An Alternative Approach to Using LiDAR Remote Sensing Data to Predict Stem Diameter Distributions across a Temperate Forest Landscape. Remote. Sens. 9(9): 944 (2017) - [j2]Jian Yang, Yuhong He, John P. Caspersen, Trevor A. Jones:
Delineating Individual Tree Crowns in an Uneven-Aged, Mixed Broadleaf Forest Using Multispectral Watershed Segmentation and Multiscale Fitting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1390-1401 (2017) - 2016
- [c1]Chen Shang, Trevor A. Jones, Paul M. Treitz:
Effect of size and number of calibration plots on the estimation of stem diameter distributions using airborne laser scanning. IGARSS 2016: 1753-1756 - 2015
- [j1]Jian Yang
, Trevor A. Jones
, John P. Caspersen, Yuhong He:
Object-Based Canopy Gap Segmentation and Classification: Quantifying the Pros and Cons of Integrating Optical and LiDAR Data. Remote. Sens. 7(12): 15917-15932 (2015)
Coauthor Index

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