| 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 | 194 | 2017 |
| 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 | 103 | 2014 |
| UAS-based plant phenotyping for research and breeding applications W Guo, ME Carroll, A Singh, TL Swetnam, N Merchant, S Sarkar, ... Plant Phenomics, 2021 | 98 | 2021 |
| 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 | 97 | 2013 |
| 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 | 84 | 2018 |
| 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 | 83 | 2017 |
| 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 | 63 | 2015 |
| 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 | 58 | 2017 |
| 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 | 51 | 2014 |
| Reimagine fire science for the anthropocene JK Shuman, JK Balch, RT Barnes, PE Higuera, CI Roos, DW Schwilk, ... PNAS nexus 1 (3), pgac115, 2022 | 50 | 2022 |
| 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 | 49 | 2015 |
| 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 | 46 | 2021 |
| 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 | 35 | 2010 |
| 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 | 34 | 2019 |
| 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 | 33 | 2018 |
| 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 | 25 | 2017 |
| 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 | 25 | 2015 |
| 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 | 24 | 2010 |
| 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 | 23 | 2019 |
| 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 | 22 | 2021 |
Paul D. BrooksUniversity of Utah在 utah.edu 的电子邮件经过验证
