Projects

Quantifying the resilience of coastal marshes to climate change, National Aeronautics and Space Administration (2023-present)

Long-term changes and variability in global ecosystem phenology from MODIS, National Aeronautics and Space Administration (2021-present)

  • Gao, X., McGregor, I., Gray, J., Friedl, MA., Moon, M. 2023 Observations of satellite land surface phenology indicate that maximum leaf greenness is more associated with global vegetation productivity than growing season length. Global Biogeochemical Cycles, 37, e2022GB007462. https://doi.org/10.1029/2022GB007462 [PDF]
  • Moon, M., Richardson, AD., Milliman, T., Friedl, MA. 2022 A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites. Scientific Data, 9: 448. https://doi.org/10.1038/s41597-022-01570-5 [PDF]

Improved understanding of feedbacks between ecosystem phenology and the weather‐environment nexus at local‐to‐continental scales, National Science Foundation (2018-2023) – Project Info.

  • Li, X., Ault, T., Richardson, AD., Carrillo, CM., Lawrence, DM., Lombardozzi, D., Frolking Steve., Herrera, DA., Moon, M. 2023 Impacts of shifting phenology on boundary layer height in North America in the spring and fall. Agricultural and Forest Meteorology, 330: 109286. https://doi.org/10.1016/j.agrformet.2022.109286 [PDF]
  • Young, AM., Friedl, MA., Novick, Kim., Scott RL., Moon, M., Frolking S., Carrillo, CM., Richardson, AD. 2022 Disentangling the relative drivers of seasonal evapotranspiration across a continental-scale aridity gradient. Journal of Geophysical Research: Biogeosciences, 127(8); e2022JG006916. https://doi.org/10.1029/2022JG006916 [PDF]
  • Moon, M., Richardson, AD., O’Keefe, J., Friedl, MA. 2022. Senescence in temperate broadleaf trees exhibits species-specific dependence on photoperiod versus thermal forcing. Agricultural and Forest Meteorology, 322: 109026. https://doi.org/10.1016/j.agrformet.2022.109026 [PDF]
  • Young, AM., Friedl, MA., Seyednasrollah, B., Beamesderfer, E., Carrillo, CM., Li, X., Moon, M., Arain, MA., Baldocchi, DD., Blanken, PD., Bohrer, G., Burns, SP., Chu, H., Desai, AR., Griffis, TJ., Hollinger, DY., Litvak, ME., Novick, Kim., Scott, RL., Suyker, AE., Verfaillie, J., Wood, JD., Richardson, AD. 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 [PDF]
  • Moon, M., Seyednasrollah, B., Richardson, AD., Friedl, MA. 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: 112466. https://doi.org/10.1016/j.rse.2021.112466 [PDF]
  • Moon, M., Li, D., Liao, W., Rigden, AJ., Friedl, MA. 2020 Modification of surface energy balance during springtime: The relative importance of biophysical and meteorological changes. Agricultural and Forest Meteorology, 284: 107905. https://doi.org/10.1016/j.agrformet.2020.107905 [PDF]

An operational multisource land surface phenology product from Landsat and Sentinel-2, National Aeronautics and Space Administration (2018-2022) – Project Info.

  • Moon, M., Richardson, AD., Friedl, MA. 2021. Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery. Remote Sensing of Environment, 266: 112716. https://doi.org/10.1016/j.rse.2021.112716 [PDF]
  • Bolton, DK., Melaas, EK., Gray, JM., Moon, M., Eklundh, L., Friedl, MA. 2020 Continental-scale land surface phenology from Harmonized Landsat 8 and Sentinel-2 imagery. Remote Sensing of Environment, 240: 111685. https://doi.org/10.1016/j.rse.2020.111685 [PDF]

    Development and validation of a global land surface phenology product from VIIRS for EOS-MODIS continuity, National Aeronautics and Space Administration (2016-2018) – Project Info.

    • Moon, M., Zhang, X., Henebry, GM., Liu, L., Gray, JM., Melaas, EK., Friedl, MA. 2019 Long-term continuity in land surface phenology measurements: a comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products. Remote Sensing of Environment, 226: 74-92. https://doi.org/10.1016/j.rse.2019.03.034 [PDF]
    • Zhang, X., Liu, L., Liu, Y., Jayavelu S., Wang, J., Moon, M., Henebry, GM., Friedl, MA., Schaaf, C. 2018 Generation and evaluation of the VIIRS land surface phenology product. Remote Sensing of Environment, 216: 212-229. https://doi.org/10.1016/j.rse.2018.06.047 [PDF]