Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany

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    W[2019AGUFM.B31M2483F]
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ADS bibcode
2019AGUFM.B31M2483F
year
2019
Listed Authors
Fricke, K.
Baschek, B.
Asgari, M.
Bongartz, J.
Burkart, A.
Dzunic, F.
Heuner, M.
Jenal, A.
Kneer, C.
Mölter, T.
Näthe, P.
Quick, I.
Rock, G.
Rommel, E.
Schröder, U.
Weber, I.
Wick, S.
Listed Institutions
Department Geoinformation and Remote Sensing, GRDC, German Federal Institute of Hydrology (BfG), Koblenz, Germany
Department Geo-Information and Remote Sensing, GRDC, German Federal Institute of Hydrology (BfG), Koblenz, Germany
Application Centre for Machine Learning and Sensor Technology AMLS, University of Applied Sciences Koblenz, Remagen, Germany
Application Centre for Machine Learning and Sensor Technology AMLS, University of Applied Sciences Koblenz, Remage, Germany
JB Hyperspectral devices, Düsseldorf, Germany
Geocoptix, Trier, Germany
Department Vegetation Studies, Landscape Management, German Federal Institute of Hydrology (BfG), Koblenz, Germany
Application Centre for Machine Learning and Sensor Technology AMLS, University of Applied Sciences Koblenz, Remagen, Germany
Application Centre for Machine Learning and Sensor Technology AMLS, University of Applied Sciences Koblenz, Remagen, Germany
Geocoptix, Trier, Germany
JB Hyperspectral devices, Düsseldorf, Germany
Department Fluvial Morphology, Sediment Dynamics and Management, German Federal Institute of Hydrology (BfG), Koblenz, Germany
Geocoptix, Trier, Germany
Department Vegetation Studies, Landscape Management, German Federal Institute of Hydrology (BfG), Koblenz, Germany
Department Vegetation Studies, Landscape Management, German Federal Institute of Hydrology (BfG), Koblenz, Germany
Application Centre for Machine Learning and Sensor Technology AMLS, University of Applied Sciences Koblenz, Remagen, Germany
Department Fluvial Morphology, Sediment Dynamics and Management, German Federal Institute of Hydrology (BfG), Koblenz, Germany

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