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"Very High-Resolution Imagery and Machine Learning for Detailed Mapping of ..."

Edvinas Rommel et al. (2022)

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DOI: 10.3390/RS14040954

access: open

type: Journal Article

metadata version: 2023-09-30

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  dblp key:
  - journals/remotesensing/RommelGFKHMDAND22
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  - https://dblp.org/rec/journals/remotesensing/RommelGFKHMDAND22
Edvinas Rommel, Laura Giese, Katharina Fricke, Frederik Kathöfer, Maike Heuner, Tina Mölter, Paul Deffert, Maryam Asgari, Paul Näthe, Filip Dzunic, Gilles Rock, Jens Bongartz, Andreas Burkart, Ina Quick, Uwe Schröder, Björn Baschek:
Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types. Remote. Sens. 14(4): 954 (2022)

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