You are here
Research Publications
Search by Author
Friedl, M
- Bolton, D. K., Gray, J. M., Melaas, E. K., Moon, M., Eklundh, L., Friedl, M. A. 2020. Continental-scale land surface
phenology from harmonized Landsat 8 and Sentinel-2 imagery. Remote Sensing of
Environment 240: article 111685, 16 pp.
- Chen, M., Melaas, E., Gray, J. M., Friedl, M. A., Richardson, A. D. 2016. A new seasonal-deciduous spring
phenology submodel in the Community Land Model 4.5: impacts on carbon and
water cycling under future climate scenarios. Global Change Biology 22: 3675–3688.
- Friedl, M. A., Gray, J. M., Melaas, E. K., Richardson, A. D., Hufkens, K., Keenan, T. F., Bailey, A., O'Keefe, J. 2014. A tale of two springs: Using
recent climate anomalies to characterize the sensitivity of temperate forest
phenology to climate change. Environmental Research
Letters 9: 054006.
- Keenan, T. F., Darby*, B., Felts*, E., Sonnentag, O., Friedl, M. A., Hufkens, K., O'Keefe, J., Klosterman, S., Munger, J. W., Toomey, M., Richardson, A. D. 2014. Tracking forest phenology and
seasonal physiology using digital repeat photography: a critical
assessment. Ecological Applications 24: 1478-1489.
- Keenan, T. F., Gray, J., Friedl, M. A., Toomey, M., Bohrer, G., Hollinger, D. Y., Munger, J. W., O'Keefe, J., Schmid, H. P., Wing, I. S., Yang, B., Richardson, A. D. 2014. Net carbon uptake has increased
through warming-induced changes in temperate forest phenology. Nature Climate Change 4: 598-604.
- Klosterman, S. T., Hufkens, K., Gray, J. M., Melaas, E., Sonnentag, O., Lavine*, I., Mitchell*, L., Norman*, R., Friedl, M. A., Richardson, A. D. 2014. Evaluating remote sensing of
deciduous forest phenology at multiple spatial scales using PhenoCam
imagery. Biogeosciences 11: 4305-4320.
- Klosterman, S., Melaas, E., Wang, J. A., Martinez*, A., Frederick*, S., O'Keefe, J., Orwig, D. A., Wang, Z., Sun, Q., Schaaf, C., Friedl, M., Richardson, A. D. 2018. Fine-scale perspectives on
landscape phenology from unmanned aerial vehicle (UAV) photography. Agricultural And Forest
Meteorology 248: 397-407.
- Lee, L. X., Whitby, T. G., Munger, J. W., Stonebrook, S. J., Friedl, M. A. 2023. Remote sensing of seasonal
variation of LAI and fAPAR in a deciduous broadleaf forest. Agricultural and Forest
Meteorology 333: 109389.
- Melaas, E. K., Friedl, M. A., Richardson, A. D. 2016. Multiscale modeling of spring
phenology across Deciduous Forests in the Eastern United States. Global Change Biology 22: 792-805.
- Melaas, E., Sulla-Menashe, D., Gray, J. M., Black, T. A., Morin, T. H., Richardson, A. D., Friedl, M. A. 2016. Multisite analysis of land
surface phenology in North American temperate and boreal deciduous forests
from Landsat. Remote Sensing of
Environment 186: 452–464.
- Moon, M., Richardson, A. D., Friedl, M. A. 2021. Multiscale assessment of land
surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and
PhenoCam imagery. Remote Sensing of
Environment 266: article 112716, 14 pp.
- Moon, M., Richardson, A. D., O'Keefe, J., Friedl, M. A. 2022. Senescence in temperate
broadleaf trees exhibits species-specific dependence on photoperiod versus
thermal forcing. Agricultural and Forest
Meteorology 322: 109026.
- Moon, M., Seyednasrollah, B., Richardson, A. D., Friedl, M. A. 2021. Using time series of MODIS land
surface phenology to model temperature and photoperiod controls on spring
greenup in North American deciduous forests. Remote Sensing of
Environment 260: article 112466, 13 pp.
- Richardson, A. D., Black, T. A., Ciais, P., Delbart, N., Friedl, M. A., Gobron, N., Hollinger, D. Y., Kutsch, W. L., Longdoz, B., Luyssaert, S., Migliavacca, M., Montagnani, L., Munger, J. W., Moors, E., Piao, S. L., Rebmann, C., Reichstein, M., Saigusa, N., Tomelleri, E., Vargas, R., Varlagin, A. 2010. Influence of Spring and Autumn
Phenological Transitions on Forest Ecosystem Productivity. Philosophical Transactions of
the Royal Society B: Biological Sciences 365: 3277-3246.
- Richardson, A. D., Hufkens, K., Milliman, T., Aubrecht, D. M., Chen, M., Gray, H. M., Johnston, M. R., Keenan, T. F., Klosterman, S. T., Kosmala, M., Melaas, E. K., Friedl, M. A., Frolking, S. 2018. Tracking vegetation phenology
across diverse North American biomes using PhenoCam imagery. Scientific Data 5: 180028: 24 pp.
- Seyednasrollah, B., Young, A. M., Li, X., Milliman, T., Ault, T., Frolking, S., Friedl, M., Richardson, A. D. 2020. Sensitivity of Deciduous Forest
Phenology to Environmental Drivers: Implications for Climate Change Impacts
Across North America. Geophysical Research
Letters 47: e2019GL086788, 11 pp.
- Sonnentag, O., Hufkens, K., Teshera-Sterne,* C., Young, C., Friedl, M., Braswell, B. H., Milliman, T., O'Keefe, J. F., Richardson, A. D. 2011. Digital repeat photography for
phenological research in forest ecosystems. Agricultural and Forest
Meteorology 152: 159-177.
- Toomey, M., Friedl, M. A., Frolking, S. E., Hufkens, K., Klosterman, S., Sonnentag, O., Baldocchi, D. D., Bernacchi, C. J., Biraud, S. C., Bohrer, G., Brzostek, E., Burns, S. P., Coursolle, C., Hollinger, D. Y., Margolis, H. A., Mccaughey, H., Monson, R. K., Munger, J. W., Pallardy, S., Phillips, R. P., Torn, M. S., Wharton, S., Zeri, M., Richardson, A. D. 2015. Greenness indices from digital
cameras predict the timing and seasonal dynamics of canopy-scale
photosynthesis. Ecological Applications 25: 99-115.