Space Instrumentation & Astrophysics In Preparation Astronomy Remote Sensing
2026
Blind Sub-Pixel Photon-Event Jitter Restoration and Astrometric Alignment for Space Observatories: UNJITR Algorithm, Spacecraft Dynamics, and Swift UVOT Archive Recovery
Jonathan Gelbord, Cory G. Garms, et al. • Target: Publications of the Astronomical Society of the Pacific (PASP)
Formulates the UNJITR framework: direct photon-stream attitude drift reconstruction at 6.7 Hz with 1.0s correlation slabs, achieving a 99.7% archive recovery rate across 282 Swift UVOT galaxy observations under extreme spacecraft limit cycling.
Calibration of Earth observing spectral imagers vicariously and with controlled ground array
Cory G. Garms, et al. (Spectral Sciences, Inc.) • Proc. SPIE Remote Sensing, 1226806
Methods for vicarious calibration of satellite and airborne imaging spectrometers using ground reference arrays to maintain radiometric fidelity across repeated observations.
A method for experimental warming of developing tree seeds with a common garden demonstration of seedling responses
Ehren R. V. Moler, Gerald F. M. Page, Lluvia Flores-Rentería, Cory G. Garms, Julia B. Hull, H. F. Cooper, J. Swenson, S. Perks, Kristen M. Waring, Amy V. Whipple • Plant Methods, 17(1), 1–13
Presents an in situ thermal manipulation methodology for developing conifer cones and assesses subsequent phenotypic seedling growth in common garden environments.
3D Lidar & Forestry Peer-Reviewed Journal Forestry Remote Sensing
2021
Assessing lean and positional error of individual mature Douglas-fir using active and passive sensors
Cory G. Garms, Christopher Simpson, Christopher Parrish, Michael G. Wing, Bogdan Strimbu • Remote Sensing, 12(14), 2278
Multi-platform comparison of UAV SfM, airborne LiDAR, and mobile ground LiDAR for tree stem detection, positional accuracy, and lean angle estimation in mature Douglas-fir.
Augmenting Size Models for Pinus strobiformis Seedlings Using Dimensional Estimates from Unmanned Aircraft Systems
Cory Garms, Lluvia Flores-Rentería, Kristen Waring, Amy Whipple, Michael G. Wing, Bogdan Strimbu • Canadian Journal of Forest Research, 50(7), 643–652
Replaced destructive manual caliper measurements with multispectral UAS SfM 3D reconstructions to estimate conifer seedling growth models and detect early nursery mortality.
3D Lidar & Stem Modeling Peer-Reviewed Journal Forestry Remote Sensing
2020
Impact of stem lean on estimation of Douglas-fir diameter and volume using mobile lidar scans
Cory G. Garms, Bogdan Strimbu • Canadian Journal of Forest Research, 50(9), 882–892
Quantifies how stem lean introduces systematic error in conventional taper and volume calculations, and develops non-linear compensation models using vehicle-mounted mobile LiDAR.
Using Point Clouds for Single Tree Forest Inventory at the Beginning and End of the Rotation
Cory G. Garms (Advisor: Dr. Bogdan Strimbu) • Ph.D. Dissertation, Oregon State University
Comprehensive doctoral dissertation examining the operational integration of UAS structure-from-motion (SfM) photogrammetry and mobile/airborne laser scanning (MLS/ALS) across stand life cycle stages—from common garden seedling trials to harvest-ready mature timber.
Tree Biomechanics & Windfirmness Peer-Reviewed Journal Forestry
2019
Relative resistance to breaking of Pinus taeda and Pinus palustris
Cory Garms, Thomas J. Dean • Forestry: An International Journal of Forest Research, 92(4), 417–424
Applied static winching in situ with multi-accelerometer tilt sensing to test windfirmness, Young's modulus of elasticity (MoE), and modulus of rupture (MOR) in loblolly and longleaf pine following hurricane exposure.
Relative Resistance to Breaking of Pinus taeda L. and Pinus palustris
Cory Glenn Garms (Advisor: Dr. Thomas J. Dean) • M.S. Thesis, Louisiana State University
Investigated hurricane windfirmness mechanisms in living loblolly and longleaf pine stands using in situ static winching, dynamometer load cells, and multi-accelerometer tilt sensing to measure stem bending moments (Mmax), Young's modulus of elasticity (MOE), and modulus of rupture (MOR).