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Mapping riverbed sediment size from Sentinel‐2 satellite data
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2013je004465openalex-snapshot
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inferredcites →https://doi.org/10.1002/2014jf003147openalex-snapshot
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inferredcites →https://doi.org/10.1002/esp.4298openalex-snapshot
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inferredcites →https://doi.org/10.1002/esp.4955openalex-snapshot
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inferredcites →https://doi.org/10.1007/s11004-005-8745-xopenalex-snapshot
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inferredcites →https://doi.org/10.1016/0019-1035(84)90054-xopenalex-snapshot
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The Italian Rivers
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Classical Electromagnetic Radiation
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inferredcites →https://doi.org/10.1016/j.catena.2007.11.001openalex-snapshot
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Roughness in the Earth Sciences
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inferredcites →https://doi.org/10.1016/j.geomorph.2005.04.015openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.geomorph.2009.03.021openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.icarus.2015.12.029openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.physa.2005.03.054openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rse.2007.04.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rse.2020.111799openalex-snapshot
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inferredcites →https://doi.org/10.7717/peerj.453openalex-snapshot
scikit-image: image processing in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1002/esp.5755openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/esp.5808openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/esp.5984openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/esp.70012openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/esp.70106openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/esp.70374openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10346-024-02402-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11368-026-04490-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecoleng.2024.107408openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.envc.2024.100882openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2023.108857openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2024.109533openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijsrc.2026.07.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sedgeo.2023.106340openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/02626667.2024.2333846openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/15715124.2025.2539200openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/19475705.2026.2719319openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/22797254.2026.2627046openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/sed.70019openalex-snapshot
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inferred← citeshttps://doi.org/10.31223/x50m5hopenalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs15071927openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs15194687openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs17030366openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s24154923openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/esurf-10-953-2022openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/esurf-14-527-2026openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/esurf-2022-19-ac3openalex-snapshot
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inferred← citeshttps://doi.org/10.56153/g19088-023-0130-41openalex-snapshot
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