Minkyu's full publications (Google Scholar profile)
In review/revision
Zhao, Y., Wang, Z., Dronova, I., Yan, Z., Moon, M., Meng, L., Wang, J., Song, G., Guo, Z., Su, Y., Liu, L., Wu, J. Plant functional traits as key regulators of interannual phenological variability in temperate forests, New Phytologist. In revision
Young, AM., Milliman, T., Hufkens, Koen., Ballou, K., Coffey, C., Begay, K., Fell, M., Javadian, M., Post, AK., Schädel, C., Vladich, Z., Zimmerman, O., Browning, DM., Florian, CR., Moon, M., SanClements, M., Seyednasrollah, B., Friedl, M., Richardson, AD. Tracking vegetation phenology across diverse biomes using Version 3.0 of the PhenoCam Dataset. In review
Carrillo, CM., Li, X., Alessi, MJ., Seyednasrollah, B., Frolking S., Young AM., Moon, M., Evans, CP., Friedl, MA., Richardson, AD., Ault, TR. A pattern of land-atmosphere coupling in North America derived using a linear inverse modeling framework. In review
Green, T., Moon, M., Gray, J., Gao, X., Richarson, A., Friedl, M. Spatial and temporal covariance in land surface phenology, local meteorology, and annual gross primary productivity, In review
Rahimi, E., Moon, M., Dong, P., Jung, C. A review of remote sensing applications in flower phenology detection. In review
Published (*Lead Author)
Gao, X., Stonebrook, S., Green, T., Moon, M., Friedl, M. 2025 Cross-scalar analysis of multisensor land surface phenology, Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2025.114624
Kim, S., Moon, M.*, Kim, HS. 2025. Changes in the timing of autumn leaf senescence of Maple and Ginkgo trees in South Korea over the past 30 years: A comparative assessment of process-based, linear regression, and machine-learning models. Forests. https://doi.org/10.3390/f16010174
Gao, X., Richardson, AD., Friedl, MA., Moon, M., Gray, J. 2024. Thermal forcing versus chilling? Misspecification of temperature controls in spring phenology models. Global Ecology and Biogeography. https://doi.org/10.1111/geb.13932
Park, J., Moon, M.*, Green, T., Kang, M., Cho, S., Lim, J., Kim, SJ. 2024. Impact of tree species composition on fire resistance in temperate forest stands. Forest Ecology and Management. https://doi.org/10.1016/j.foreco.2024.122279
Ryu, D., Park, M., Park J., Moon M., Yim J., Kim HS., 2024. Quantification of tree growth change under climate change using National Forest Inventory of Korea. Forest Ecology and Management. https://doi.org/10.1016/j.foreco.2024.122112
Zhao, Y., Wang, Z., Yan, Z., Moon, M., Yang, D., Meng, L., Bucher, S.F., Wang, J., Song, G., Guo, Z., Su, Y., 2024. Exploring the role of biotic factors in regulating the spatial variability in land surface phenology across four temperate forest sites. New Phytologist. https://doi.org/10.1111/nph.19684
Selected papers prior to KNU (Before Sep, 2023)
Moon et al., 2023. Land Surface Phenology, Eddy Covariance Tower Sites, North America, 2017-2021. ORNL DAAC, https://doi.org/10.3334/ORNLDAAC/2033
Moon et al., 2022. A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites. Scientific Data. https://doi.org/10.1038/s41597-022-01570-5
Moon et al., 2022. Senescence in temperate broadleaf trees exhibits species-specific dependence on photoperiod versus thermal forcing. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2022.109026
Moon et al., 2021. Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2021.112716
Moon et al., 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. https://doi.org/10.1016/j.rse.2021.112466
Moon et al., 2020. Modification of surface energy balance during springtime: The relative importance of biophysical and meteorological changes. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2020.107905
Moon et al., 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. https://doi.org/10.1016/j.rse.2019.03.034
Moon et al., 2015. Effects of leaf nitrogen allocation on the photosynthetic nitrogen-use efficiency of seedlings of three tropical species in Indonesia. Journal of the Korean Society for Applied Biological Chemistry. https://doi.org/10.1007/s13765-015-0074-2
Moon et al., 2015. Variation in sap flux density and its effect on stand transpiration estimates of Korean pine stands. Journal of Forest Research. https://doi.org/10.1007/s10310-014-0463-0