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Tyson Lee Swetnam
Tyson Lee Swetnam
Research Associate Professor, BIO5 Institute, University of Arizona
Verifierad e-postadress på arizona.edu - Startsida
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UAV hyperspectral and lidar data and their fusion for arid and semi‐arid land vegetation monitoring
TT Sankey, J McVay, TL Swetnam, MP McClaran, P Heilman, M Nichols
Remote Sensing in Ecology and Conservation 4 (1), 20-33, 2017
1812017
LiDAR‐derived snowpack data sets from mixed conifer forests across the Western United States
AA Harpold, Q Guo, N Molotch, PD Brooks, R Bales, JC Fernandez‐Diaz, ...
Water Resources Research 50 (3), 2749-2755, 2014
992014
Coevolution of nonlinear trends in vegetation, soils, and topography with elevation and slope aspect: A case study in the sky islands of southern Arizona
JD Pelletier, GA Barron‐Gafford, DD Breshears, PD Brooks, J Chorover, ...
Journal of Geophysical Research: Earth Surface 118 (2), 741-758, 2013
962013
UAS-based plant phenotyping for research and breeding applications
W Guo, ME Carroll, A Singh, TL Swetnam, N Merchant, S Sarkar, ...
Plant Phenomics, 2021
802021
Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration
TL Swetnam, PD Brooks, HR Barnard, AA Harpold, EL Gallo
Ecosphere 8 (4), e01797, 2017
782017
Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks
JD Pelletier, GA Barron‐Gafford, H Guttierez‐Jurado, ELS Hinckley, ...
Earth Surface Processes and Landforms, 2018
772018
Laser vision: lidar as a transformative tool to advance critical zone science
AA Harpold, JA Marshall, SW Lyon, TB Barnhart, BA Fisher, M Donovan, ...
Hydrology and Earth System Sciences 19 (6), 2881-2897, 2015
602015
Fusing tree‐ring and forest inventory data to infer influences on tree growth
MEK Evans, DA Falk, A Arizpe, TL Swetnam, F Babst, KE Holsinger
Ecosphere 8 (7), e01889, 2017
532017
Application of metabolic scaling theory to reduce error in local maxima tree segmentation from aerial LiDAR
TL Swetnam, DA Falk
Forest Ecology and Management 323, 158-167, 2014
482014
Quantifying Topographic and Vegetation Effects on the Transfer of Energy and Mass to the Critical Zone
JC Craig Rasmussen Jon D. Pelletier, Peter A. Troch, Tyson L. Swetnam
Vadose Zone Journal, 2015
472015
Movement of sediment through a burned landscape: Sediment volume observations and model comparisons in the San Gabriel Mountains, California, USA
FK Rengers, LA McGuire, JW Kean, DM Staley, M Dobre, PR Robichaud, ...
Journal of Geophysical Research: Earth Surface 126 (7), e2020JF006053, 2021
362021
Reimagine fire science for the anthropocene
JK Shuman, JK Balch, RT Barnes, PE Higuera, CI Roos, DW Schwilk, ...
PNAS nexus 1 (3), pgac115, 2022
342022
Reconstructing landscape pattern of historical fires and fire regimes
T Swetnam, DA Falk, AE Hessl, C Farris
The landscape ecology of fire, 165-192, 2010
342010
Estimating forage utilization with drone-based photogrammetric point clouds
JK Gillan, MP McClaran, TL Swetnam, P Heilman
Rangeland Ecology & Management 72 (4), 575-585, 2019
322019
Considerations for achieving cross-platform point cloud data fusion across different dryland ecosystem structural states.
TL Swetnam, JK Gillan, TT Sankey, M McClaran, M Nichols, P Heilman, ...
Frontiers in Plant Science 8, 2144, 2018
302018
Discriminating disturbance from natural variation with LiDAR in semi‐arid forests in the southwestern USA
TL Swetnam, AM Lynch, DA Falk, SR Yool, DP Guertin
Ecosphere 6 (6), 1-22, 2015
252015
Asymmetry of weathering‐limited hillslopes: The importance of diurnal covariation in solar insolation and temperature
JD Pelletier, TL Swetnam
Earth Surface Processes and Landforms 42 (9), 1408-1418, 2017
242017
Comparing selected fire regime condition class (FRCC) and LANDFIRE vegetation model results with tree-ring data
TL Swetnam, PM Brown
International Journal of Wildland Fire 19 (1), 1-13, 2010
232010
Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA
LM Norman, JB Callegary, L Lacher, NR Wilson, C Fandel, BT Forbes, ...
Water 11 (2), 381, 2019
212019
Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community
RC Nagy, JK Balch, EK Bissell, ME Cattau, NF Glenn, BS Halpern, ...
Ecosphere 12 (12), e03833, 2021
192021
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