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  1. Hagenauer, Julian Christian [Author] ; Marzahn, Philip [Degree supervisor]; Thinh, Nguyen Xuan [Degree supervisor]; Scholz, Johannes [Degree supervisor] Universität Rostock, Universität Rostock Agrar- und Umweltwissenschaftliche Fakultät

    Challenges and prospects of spatial machine learning

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    Rostock: Universität Rostock, 2022

  2. Putzenlechner, Birgitta [Author]; Marzahn, Philip [Author]; Koal, Philipp [Author]; Sánchez-Azofeifa, Gerardo-Arturo [Author]

    Fractional vegetation cover derived from UAV and sentinel-2 imagery as a proxy for in situ FAPAR in a dense mixed-coniferous forest?

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    January-2 2022

    Published in: Remote sensing ; 14(2022), 2, Artikel-ID 380, Seite 1-26

  3. Marzahn, Philip [Author]; Tsyganskaya, V. [Author]; Seidel, M. [Author]; Ludwig, Ralf [Author]

    Abschlussbericht Projekt "Deiche unter Druck" : Gesamtlaufzeit: 01.09.2014-30.11.2017 = Final report: Dikes under pressure

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    [München]: LMU - Ludwig-Maximilians-Universität München, 07.06.2018

  4. Kolb, Sebastian [Author]; Plankenbühler, Thomas [Author]; Karl, Jürgen [Author]; Pfaffenberger, Fabian [Author]; Zeh, Reimar [Author]; Holtz-Bacha, Christina [Author]; Kalu, Amarachi [Author]; Vrzel, Janja [Author]; Marzahn, Philip [Author]; Ludwig, Ralf [Author] ; Friedrich-Alexander-Universität Erlangen-Nürnberg Lehrstuhl für Energieverfahrenstechnik, Ludwig-Maximilians-Universität München Department für Geographie

    SustainableGas - Szenarien für den Ausbau Erneuerbarer Gase im Wärme- und Strommarkt : Projektabschlussbericht : Laufzeit 06/2016-05/2019

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    Nürnberg: FAU Erlangen-Nürnberg, November 2019

    Published in: Energieverfahrenstechnische Schriften ; 5

  5. Hagenauer, Julian Christian (gnd 1036794342) [Author] ; Marzahn, Philip AkademischeR BetreuerIn [Contributor]; Thinh, Nguyen Xuan (gnd: 102434987X) AkademischeR BetreuerIn [Contributor]; Scholz, Johannes AkademischeR BetreuerIn [Contributor]; Universität Rostock (gnd: 38329-6) Grad-verleihende Institution [Contributor]; Universität Rostock Agrar- und Umweltwissenschaftliche Fakultät (gnd: 10025954-6) Grad-verleihende Institution [Contributor]

    Challenges and prospects of spatial machine learning

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    Universität Rostock Rostock, 2022 2022

  6. Weiß, Thomas; Jagdhuber, Thomas; Ramsauer, Thomas; Löw, Alexander; Marzahn, Philip

    RTM-Based Downscaling of Medium Resolution Soil Moisture Using Sentinel-1 Data Over Agricultural Fields

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    Institute of Electrical and Electronics Engineers (IEEE), 2024

    Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17 (2024), Seite 15463-15479