| Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery AD Richardson, K Hufkens, T Milliman, DM Aubrecht, M Chen, JM Gray, ... Scientific data 5 (1), 1-24, 2018 | 386 | 2018 |
| Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery ST Klosterman, K Hufkens, JM Gray, E Melaas, O Sonnentag, I Lavine, ... Biogeosciences 11 (16), 4305-4320, 2014 | 350 | 2014 |
| Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment TF Keenan, B Darby, E Felts, O Sonnentag, MA Friedl, K Hufkens, ... Ecological applications 24 (6), 1478-1489, 2014 | 237 | 2014 |
| Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy‐scale photosynthesis M Toomey, MA Friedl, S Frolking, K Hufkens, S Klosterman, O Sonnentag, ... Ecological Applications 25 (1), 99-115, 2015 | 168 | 2015 |
| Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography S Klosterman, E Melaas, JA Wang, A Martinez, S Frederick, J O’Keefe, ... Agricultural and Forest Meteorology 248, 397-407, 2018 | 142 | 2018 |
| Observing spring and fall phenology in a deciduous forest with aerial drone imagery S Klosterman, AD Richardson Sensors 17 (12), 2852, 2017 | 74 | 2017 |
| Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 A Westergaard-Nielsen, M Lund, SH Pedersen, NM Schmidt, ... Ambio 46, 39-52, 2017 | 71 | 2017 |
| Near-surface sensor-derived phenology AD Richardson, S Klosterman, M Toomey Phenology: An integrative environmental science, 413-430, 2013 | 65 | 2013 |
| Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery, Sci. Data, 5, 180028 AD Richardson, K Hufkens, T Milliman, DM Aubrecht, M Chen, JM Gray, ... | 63 | 2018 |
| Later springs green-up faster: the relation between onset and completion of green-up in deciduous forests of North America S Klosterman, K Hufkens, AD Richardson International journal of biometeorology 62, 1645-1655, 2018 | 31 | 2018 |
| Ecosystem fluxes of hydrogen in a mid‐latitude forest driven by soil microorganisms and plants LK Meredith, R Commane, TF Keenan, ST Klosterman, JW Munger, ... Global change biology 23 (2), 906-919, 2017 | 20 | 2017 |
| Mesic temperate deciduous forest phenology JM Hanes, AD Richardson, S Klosterman Phenology: An integrative environmental science, 211-224, 2013 | 19 | 2013 |
| PhenoCam Dataset v1. 0: Vegetation phenology from digital camera imagery, 2000–2015 AD Richardson, K Hufkens, T Milliman, DM Aubrecht, M Chen, JM Gray, ... ORNL Distributed Active Archive Center, 2017 | 18 | 2017 |
| Modeling fate and transport of arsenic in a chlorinated distribution system JB Burkhardt, J Szabo, S Klosterman, J Hall, R Murray Environmental modelling & software 93, 322-331, 2017 | 18 | 2017 |
| Modeling and simultation of arsenate fate and transport in a distribution system simulator S Klosterman, R Murray, J Szabo, J Hall, J Uber Water Distribution Systems Analysis 2010, 655-669, 2010 | 18 | 2010 |
| Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn S Klosterman Packt Publishing Ltd, 2019 | 14 | 2019 |
| Adsorption model for arsenate transport in corroded iron pipes with application to a simulated intrusion in a water distribution network ST Klosterman, JG Uber, R Murray, DL Boccelli Journal of Water Resources Planning and Management 140 (5), 649-657, 2014 | 10 | 2014 |
| Comparing single-and multi-species water quality modeling approaches for assessing contamination exposure in drinking water distribution systems S Klosterman, S Hatchett, R Murray, J Uber, D Boccelli World Environmental and Water Resources Congress 2009: Great Rivers, 1-14, 2009 | 7 | 2009 |
| PhenoCam Dataset v1. 0: Vegetation phenology from digital camera imagery, 2000–2015. ORNL DAAC, Oak Ridge, Tennessee, USA AD Richardson, K Hufkens, T Milliman, DM Aubrecht, M Chen, JM Gray, ... | 4 | 2017 |
| Landscape phenology from unmanned aerial vehicle photography at Harvard Forest since 2013 S Klosterman, A Richardson Environmental Data Initiative, 2018 | 3 | 2018 |
