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Publications Citing PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018

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 Terán, 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 NEON sites. Ecosphere. 13(1). https://doi.org/10.1002/ecs2.3912
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