References

If you find this work/code useful in your research, please consider citing:

UrbanLC

@article{chinchuthakun2024annual,
    title={ANNUAL PAST-PRESENT LAND COVER CLASSIFICATION FROM LANDSAT USING DEEP LEARNING FOR URBAN AGGLOMERATIONS},
    author={Worameth CHINCHUTHAKUN and David WINDERL and Alvin C.G. VARQUEZ and Yukihiko YAMASHITA and Manabu KANDA},
    journal={Journal of JSCE},
    volume={12},
    number={2},
    pages={23-16151},
    year={2024},
    doi={10.2208/journalofjsce.23-16151}
}

Other related citations

Google Earth Engine (GEE)

@article{noel2017google,
    title = {Google Earth Engine: Planetary-scale geospatial analysis for everyone},
    journal = {Remote Sensing of Environment},
    volume = {202},
    pages = {18-27},
    year = {2017},
    note = {Big Remotely Sensed Data: tools, applications and experiences},
    issn = {0034-4257},
    doi = {10.1016/j.rse.2017.06.031},
    url = {https://www.sciencedirect.com/science/article/pii/S0034425717302900},
    author = {Noel Gorelick and Matt Hancher and Mike Dixon and Simon Ilyushchenko and David Thau and Rebecca Moore},
}

ESA WorldCover 10m v200

@dataset{zanaga2022esa,
    author       = {Zanaga, Daniele and
                    Van De Kerchove, Ruben and
                    Daems, Dirk and
                    De Keersmaecker, Wanda and
                    Brockmann, Carsten and
                    Kirches, Grit and
                    Wevers, Jan and
                    Cartus, Oliver and
                    Santoro, Maurizio and
                    Fritz, Steffen and
                    Lesiv, Myroslava and
                    Herold, Martin and
                    Tsendbazar, Nandin-Erdene and
                    Xu, Panpan and
                    Ramoino, Fabrizio and
                    Arino, Olivier},
    title        = {ESA WorldCover 10 m 2021 v200},
    month        = oct,
    year         = 2022,
    publisher    = {Zenodo},
    doi          = {10.5281/zenodo.7254221},
    url          = {https://doi.org/10.5281/zenodo.7254221}
}

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• Global 1-km present and future hourly anthropogenic heat flux

• SLEUTsH: Railway-induced urban growing model in SLEUTH

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