The following 17 publications cited the product PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018.
| Year | Citation |
|---|---|
| 2023 | Klinek, L., J. Au, C.Y. Wong, T.S. Magney, and D. Baldocchi. 2023. A soil-air temperature model to determine the start of season phenology of deciduous forests. Agricultural and Forest Meteorology. 341:109638. https://doi.org/10.1016/j.agrformet.2023.109638 |
| 2023 | Rahmati, M., A. Graf, C. Poppe Ter�n, W. Amelung, W. Dorigo, H.H. Franssen, C. Montzka, D. Or, M. Sprenger, J. Vanderborght, N.E.C. Verhoest, and H. Vereecken. 2023. Continuous increase in evaporative demand shortened the growing season of European ecosystems in the last decade. Communications Earth & Environment. 4(1). https://doi.org/10.1038/s43247-023-00890-7 |
| 2023 | Spafford, L., A. MacDougall, and J. Steenberg. 2023. Climate‐driven shifts in leaf senescence are greater for boreal species than temperate species in the Acadian Forest region in contrast to leaf emergence shifts. Ecology and Evolution. 13(8). https://doi.org/10.1002/ece3.10362 |
| 2023 | Spafford, L., A.H. MacDougall, Y. Vitasse, G. Filippa, A. Richardson, J. Steenberg, and J.J. Lever. 2023. Leaf phenology as an indicator of ecological integrity. Ecosphere. 14(5). https://doi.org/10.1002/ecs2.4487 |
| 2023 | Yang, J., J. Dong, L. Liu, M. Zhao, X. Zhang, X. Li, J. Dai, H. Wang, C. Wu, N. You, S. Fang, Y. Pang, Y. He, G. Zhao, X. Xiao, and Q. Ge. 2023. A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 202:610-636. https://doi.org/10.1016/j.isprsjprs.2023.07.017 |
| 2022 | Capooci, M. and R. Vargas. 2022. Trace gas fluxes from tidal salt marsh soils: implications for carbon–sulfur biogeochemistry. Biogeosciences. 19(19):4655-4670. https://doi.org/10.5194/bg-19-4655-2022 |
| 2022 | Chen, B. 2022. Comparison of the Two Most Common Phenology Algorithms Imbedded in Land Surface Models. Journal of Geophysical Research: Atmospheres. 127(21). https://doi.org/10.1029/2022JD037167 |
| 2022 | Donnelly, A., R. Yu, K. Jones, M. Belitz, B. Li, K. Duffy, X. Zhang, J. Wang, B. Seyednasrollah, K.L. Gerst, D. Li, Y. Kaddoura, K. Zhu, J. Morisette, C. Ramey, and K. Smith. 2022. Exploring discrepancies between in situ phenology and remotely derived phenometrics at |
| 2022 | Ling, Y., S. Teng, C. Liu, J. Dash, H. Morris, and J. Pastor-Guzman. 2022. Assessing the Accuracy of Forest Phenological Extraction from Sentinel-1 C-Band Backscatter Measurements in Deciduous and Coniferous Forests. Remote Sensing. 14(3):674. https://doi.org/10.3390/rs14030674 |
| 2022 | Stoy, P.C., A.M. Khan, K. Van Dorsten, P. Sauer, T. Weaver, and E.N.J. Brookshire. 2022. Ecosystem Gross Primary Productivity After Autumn Snowfall and Melt Events in a Mountain Meadow. Journal of Geophysical Research: Biogeosciences. 127(8). https://doi.org/10.1029/2022JG006867 |
| 2022 | Young, A.M., M.A. Friedl, K. Novick, R.L. Scott, M. Moon, S. Frolking, X. Li, C.M. Carrillo, and A.D. Richardson. 2022. Disentangling the Relative Drivers of Seasonal Evapotranspiration Across a Continental‐Scale Aridity Gradient. Journal of Geophysical Research: Biogeosciences. 127(8). https://doi.org/10.1029/2022JG006916 |
| 2021 | Browning, D.M., E.S. Russell, G.E. Ponce-Campos, N. Kaplan, A.D. Richardson, B. Seyednasrollah, S. Spiegal, N. Saliendra, J.G. Alfieri, J. Baker, C. Bernacchi, B.T. Bestelmeyer, D. Bosch, E.H. Boughton, R.K. Boughton, P. Clark, G. Flerchinger, N. Gomez-Casanovas, S. Goslee, N.M. Haddad, D. Hoover, A. Jaradat, M. Mauritz, G.W. McCarty, G.R. Miller, J. Sadler, A. Saha, R.L. Scott, A. Suyker, C. Tweedie, J.D. Wood, X. Zhang, and S.D. Taylor. 2021. Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework. Ecological Indicators. 131:108147. https://doi.org/10.1016/j.ecolind.2021.108147 |
| 2021 | Young, A.M., M.A. Friedl, B. Seyednasrollah, E. Beamesderfer, C.M. Carrillo, X. Li, M. Moon, M.A. Arain, D.D. Baldocchi, P.D. Blanken, G. Bohrer, S.P. Burns, H. Chu, A.R. Desai, T.J. Griffis, D.Y. Hollinger, M.E. Litvak, K. Novick, R.L. Scott, A.E. Suyker, J. Verfaillie, J.D. Wood, and A.D. Richardson. 2021. Seasonality in aerodynamic resistance across a range of North American ecosystems. Agricultural and Forest Meteorology. 310:108613. https://doi.org/10.1016/j.agrformet.2021.108613 |
| 2020 | Seyednasrollah, B., A.M. Young, X. Li, T. Milliman, T. Ault, S. Frolking, M. Friedl, and A.D. Richardson. 2020. Sensitivity of Deciduous Forest Phenology to Environmental Drivers: Implications for Climate Change Impacts Across North America. Geophysical Research Letters. 47(5): https://doi.org/10.1029/2019GL086788 |
| 2020 | Seyednasrollah, B., D.R. Bowling, R. Cheng, B.A. Logan, T.S. Magney, C. Frankenberg, J.C. Yang, A.M. Young, K. Hufkens, M.A. Arain, T.A. Black, P.D. Blanken, R. Bracho, R. Jassal, D.Y. Hollinger, B.E. Law, Z. Nesic, and A.D. Richardson. 2020. Seasonal variation in the canopy color of temperate evergreen conifer forests. New Phytologist. 229(5):2586-2600. https://doi.org/10.1111/nph.17046 |
| 2020 | Zheng, J., X. Xu, G. Jia, and W. Wu. 2020. Understanding the spring phenology of Arctic tundra using multiple satellite data products and ground observations. Science China Earth Sciences. 63(10):1599-1612. https://doi.org/10.1007/s11430-019-9644-8 |
| 2019 | Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, and A.D. Richardson. 2019. Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6(1): https://doi.org/10.1038/s41597-019-0229-9 |