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Eco-Hydrological Researches in China University of Geosciences (Wuhan)

TODO: 👋

References:

  1. Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 155(May), 13–24. https://doi.org/10.1016/j.isprsjprs.2019年06月01日4
  2. Kong, D., McVicar, T. R., Xiao, M., Zhang, Y., Peña-Arancibia, J. L., Filippa, G., Xie, Y., Gu, X. (2022). phenofit: An R package for extracting vegetation phenology from time series remote sensing. Methods in Ecology and Evolution, 00, 1–20. https://doi.org/10.1111/2041-210X.13870
  3. Cao, R., Chen, Y., Shen, M., Chen, J., Zhou, J., Wang, C., & Yang, W. (2018). A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter. Remote Sensing of Environment, 217(December 2017), 244–257. https://doi.org/10.1016/j.rse.2018年08月02日2
  4. Evans, F. H., & Shen, J. (2021). Spatially weighted estimation of broadacre crop growth improves gap-filling of Landsat NDVI. Remote Sensing, 13(11), 2128.
  5. Wang, Y., Gao, Z., & Ning, J. (2021). Technical an adaptive piecewise harmonic analysis method for reconstructing multi-year sea surface chlorophyll-A time series. Remote Sensing, 13(14). https://doi.org/10.3390/rs13142727

Pinned Loading

  1. phenofit phenofit Public

    R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

    R 87 35

  2. phenofit-scripts phenofit-scripts Public

    phenofit examples in version 3.0

    R 25 5

  3. TIMESAT.R TIMESAT.R Public

    R package: Extract Remote Sensing Vegetation Phenology by TIMESAT V3.3 Fortran library (only for windows)

    R 30 9

  4. VegCurveFit.jl VegCurveFit.jl Public

    Julia package: Vegetation growth curvefiting

    Julia 1

  5. VegPheno.jl VegPheno.jl Public

    Vegetation-Index smoothing algorithm for in Julia

    Julia 2 1

  6. VegSeasons.jl VegSeasons.jl Public

    Julia

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