Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
2017 · IEEE Geoscience and Remote Sensing Letters · 1,685 citations
https://doi.org/10.1109/lgrs.2017.2681128
S
Sergii Skakun
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248
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h-index
104
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Sergii Skakun is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Remote Sensing in Agriculture & Land Use and Ecosystem Services & Remote Sensing and Land Use. The author has an h-index of 43, co-authored 211 publications.
ORCID: 0000-0002-9039-0174Papers by this author
worksThe Harmonized Landsat and Sentinel-2 surface reflectance data set
2018 · Remote Sensing of Environment · 1,332 citations
https://doi.org/10.1016/j.rse.2018.09.002
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2
2022 · Remote Sensing of Environment · 250 citations
https://doi.org/10.1016/j.rse.2022.112990
The 50-year Landsat collection 2 archive
2023 · Science of Remote Sensing · 224 citations
https://doi.org/10.1016/j.srs.2023.100103
A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization
2019 · Remote Sensing · 63 citations
https://doi.org/10.3390/rs11060632
Large scale crop classification using Google earth engine platform
2017 · 60 citations
https://doi.org/10.1109/igarss.2017.8127801
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