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T Ryan McCarley
T Ryan McCarley
Verified email at uidaho.edu
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Cited by
Cited by
Year
Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
TR McCarley, CA Kolden, NM Vaillant, AT Hudak, AMS Smith, BM Wing, ...
Remote sensing of environment 191, 419-432, 2017
1082017
Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest
TR McCarley, CA Kolden, NM Vaillant, AT Hudak, AMS Smith, J Kreitler
Forest Ecology and Management 391, 164-175, 2017
352017
Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy
TR McCarley, AT Hudak, AM Sparks, NM Vaillant, AJH Meddens, L Trader, ...
Remote Sensing of Environment 251, 112114, 2020
282020
Evaluating the Mid-Infrared Bi-spectral Index for improved assessment of low-severity fire effects in a conifer forest
TR McCarley, AMS Smith, CA Kolden, J Kreitler
International Journal of Wildland Fire 27 (6), 407-412, 2018
192018
Regional modeling of forest fuels and structural attributes using airborne laser scanning data in Oregon
F Mauro, AT Hudak, PA Fekety, B Frank, H Temesgen, DM Bell, ...
Remote Sensing 13 (2), 261, 2021
112021
Wilderness areas in a changing landscape: changes in land use, land cover, and climate
JL Aycrigg, TR Mccarley, RT Belote, S Martinuzzi
Ecological Applications 32 (1), e02471, 2022
102022
A spatial and temporal assessment of energy development around wilderness areas
JL Aycrigg, TR McCarley, S Martinuzzi, RT Belote, M Bosher, C Bailey, ...
Biological Conservation 279, 109907, 2023
52023
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
BC Bright, AT Hudak, TR McCarley, A Spannuth, N Sánchez-López, ...
Fire Ecology 18 (1), 18, 2022
52022
Predicting fine-scale forage distribution to inform ungulate nutrition
TR McCarley, TM Ball, JL Aycrigg, EK Strand, LK Svancara, JS Horne, ...
Ecological Informatics 60, 101170, 2020
52020
A comparison of multitemporal airborne laser scanning data and the fuel characteristics classification system for estimating fuel load and consumption
TR McCarley, AT Hudak, JC Restaino, M Billmire, NHF French, RD Ottmar, ...
Journal of Geophysical Research: Biogeosciences 127 (5), e2021JG006733, 2022
32022
Historic and current assessment of the national wilderness preservation system
JL Aycrigg, J Tricker, TR McCarley
A Perpetual Flow of Benefits: Wilderness Economic Values in an Evolving …, 2022
22022
Estimation of Landscape-scale Fire Effects from Multi-temporal LiDAR
TR McCarley
University of Idaho, 2016
22016
Digital surface, terrain, and canopy height models for Moscow Mountain in 2009
BC Bright, AT Hudak, TR McCarley
12019
LiDAR and Landsat change indices for the 2012 Pole Creek Fire.
TR McCarley, CA Kolden, NM Vaillant, AT Hudak, AMS Smith, BM Wing, ...
Fort Collins, CO: Forest Service Research Data Archive. http://doi.org/10 …, 2018
12018
Vulnerability of wilderness areas to day-use visits
TR McCarley, JL Aycrigg, S Martinuzzi, RT Belote, TP Holmes
Environmental Conservation 51 (1), 36-44, 2024
2024
Bacterial Emission Factors: A Foundation for the Terrestrial-Atmospheric Modeling of Bacteria Aerosolized by Wildland Fires
LN Kobziar, P Lampman, A Tohidi, AK Kochanski, A Cervantes, AT Hudak, ...
Environmental Science & Technology, 2024
2024
Biodiversity within the National Wilderness Preservation System: How Well Do Wilderness Areas Represent Species Richness across the Contiguous United States?
TR McCarley, JL Aycrigg
International Journal of Wilderness 26 (3), 52-69, 2020
2020
Digital surface, terrain, and canopy height models for Priest River Experimental Forest in 2011
BC Bright, AT Hudak, TR McCarley
2020
Digital surface, terrain, and canopy height models for Boise Basin Experimental Forest in 2018
BC Bright, AT Hudak, TR McCarley
2020
Digital surface, terrain, and canopy height models for Deception Creek Experimental Forest in 2011
BC Bright, AT Hudak, TR McCarley
2020
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Articles 1–20