| UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA T Sankey, J Donager, J McVay, JB Sankey Remote Sensing of Environment 195, 30-43, 2017 | 502 | 2017 |
| 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, 2018 | 212 | 2018 |
| MODIS phenology-derived, multi-year distribution of conterminous US crop types R Massey, TT Sankey, RG Congalton, K Yadav, PS Thenkabail, ... Remote Sensing of Environment 198, 490-503, 2017 | 165 | 2017 |
| Climate, wildfire, and erosion ensemble foretells more sediment in western USA watersheds JB Sankey, J Kreitler, TJ Hawbaker, JL McVay, ME Miller, ER Mueller, ... Geophysical Research Letters 44 (17), 8884-8892, 2017 | 150 | 2017 |
| Understanding the role of ecohydrological feedbacks in ecosystem state change in drylands L Turnbull, BP Wilcox, J Belnap, S Ravi, P D'odorico, D Childers, ... Ecohydrology 5 (2), 174-183, 2012 | 142 | 2012 |
| Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a … JB Sankey, TT Sankey, J Li, S Ravi, G Wang, J Caster, A Kasprak Remote Sensing of Environment 253, 112223, 2021 | 112 | 2021 |
| Errors in LiDAR-derived shrub height and crown area on sloped terrain NF Glenn, LP Spaete, TT Sankey, DR Derryberry, SP Hardegree, ... Journal of Arid Environments 75 (4), 377-382, 2011 | 107 | 2011 |
| Evaluating unmanned aerial vehicle images for estimating forest canopy fuels in a ponderosa pine stand P Shin, T Sankey, MM Moore, AE Thode Remote Sensing 10 (8), 1266, 2018 | 105 | 2018 |
| Global Cropland Area Database (GCAD) derived from remote sensing in support of food security in the twenty-first century: current achievements and future possibilities P Teluguntla, PS Thenkabail, J Xiong, MK Gumma, C Giri, C Milesi, ... Taylor & Francis 2, 01-45, 2015 | 88 | 2015 |
| Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA D Solazzo, JB Sankey, TT Sankey, SM Munson Geomorphology 319, 174-185, 2018 | 87 | 2018 |
| Vegetation and slope effects on accuracy of a LiDAR-derived DEM in the sagebrush steppe LP Spaete, NF Glenn, DR Derryberry, TT Sankey, JJ Mitchell, ... Remote Sensing Letters 2 (4), 317-326, 2011 | 84 | 2011 |
| Remote sensing of sagebrush canopy nitrogen JJ Mitchell, NF Glenn, TT Sankey, DWR Derryberry, MJ Germino Remote sensing of environment 124, 217-223, 2012 | 77 | 2012 |
| Small-footprint LiDAR estimations of sagebrush canopy characteristics JJ Mitchell, NF Glenn, TT Sankey, DWR Derryberry, MO Anderson, ... Photogrammetric Engineering & Remote Sensing 77 (5), 521-530, 2011 | 71 | 2011 |
| Integrating cloud-based workflows in continental-scale cropland extent classification R Massey, TT Sankey, K Yadav, RG Congalton, JC Tilton Remote Sensing of Environment 219, 162-179, 2018 | 70 | 2018 |
| Assessment of juniper encroachment with the use of satellite imagery and geospatial data TT Sankey, MJ Germino Rangeland Ecology & Management 61 (4), 412-418, 2008 | 70 | 2008 |
| Invasive buffelgrass detection using high‐resolution satellite and UAV imagery on Google Earth Engine K Elkind, TT Sankey, SM Munson, CE Aslan Remote Sensing in Ecology and Conservation 5 (4), 318-331, 2019 | 67 | 2019 |
| Lower forest–grassland ecotones and 20th century livestock herbivory effects in northern Mongolia TT Sankey, C Montagne, L Graumlich, R Lawrence, J Nielsen Forest Ecology and Management 233 (1), 36-44, 2006 | 67 | 2006 |
| UAV‐derived estimates of forest structure to inform ponderosa pine forest restoration A Belmonte, T Sankey, JA Biederman, J Bradford, SJ Goetz, T Kolb, ... Remote Sensing in Ecology and Conservation 6 (2), 181-197, 2020 | 64 | 2020 |
| NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Australia, New Zealand … CS P. Teluguntla, P. Thenkabail, J. Xiong, M. Gumma, R. Congalton, A ... https://doi.org/10.5067/MEaSUREs/GFSAD/GFSAD30AUNZCNMOCE.001, 2017 | 64* | 2017 |
| Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on … PS Thenkabail, PG Teluguntla, J Xiong, A Oliphant, RG Congalton, ... Professional Paper, 2021 | 61 | 2021 |
Joel B. SankeyU.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research CenterEmail được xác minh tại usgs.gov
