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M. Sc. Alexander Marx
- © Alexander Marx
Wissenschaftlicher Mitarbeiter
Tel.: +49 (0)30 / 314 -
E-Mail: alexander.marx@tu-berlin.de
Raum: EB 203a
| 2021 | Scientific assistant at TU Berlin Project: First2.0, Produktentwicklung zur skalenübergreifenden kontinuierlichen Vitalitäts- und Waldschadensanalyse mittels multisensoraler Fernerkundungsdaten und künstlicher Intelligenz. |
| 2018 - present | Freelancer / Entrepreneur / Founder at EOGREEN ANALYTICS Most recent projects:
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| 2007 - 2018 | Remote Sensing Specialist (Applied remote sensing of forests) Planet Labs Germany GmbH (formerly BlackBridge AG, formerly RapidEye AG)
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| 2006 - 2007 | Scientific Assistant, Leibniz-Centre for Research in Agriculture (ZALF) e. V. Project: Modelling the carbon budget of selected German forest intensive monitoring test sites using the simulation model BIOME-BGC. |
| 2006 | Scientific Assistant, Cantonal office for fisheries and hunting, Zug (Switzerland)
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| 2002 – 2006 | M.Sc. Forest Information Technology University of Sustainable Development (HNEE), Eberswalde, Germany |
| 1998 – 2002 | B.Sc. International Forest Ecosystem Management University of Sustainable Development (HNEE), Eberswalde, Germany |
| 1972 | born in Königs Wusterhausen (near Berlin), Germany |
Publications:
Marx, A., Kleinschmit, B. (2017): Sensitivity analysis of RapidEye spectral bands and derived vegetation indices for insect defoliation detection in pure Scots pine stands. iForest – Biogeosciences and Forestry.
Marx, A., Tetteh GO (2016): A Forest Vitality and Change Monitoring tool based on RapidEye imagery. IEEE geoscience and remote sensing letters.
Marx, A., Möller, K., Wenk, M. (2015): RapidEye-Waldschutzmonitoring in Brandenburg. AFZ-Der Wald 7/2015:42-45.
Marx, A., Sagischewski, H., Sossna, I., Chmara, S. (2010): Erkennung von Borkenkäferbefall in Fichtenbeständen mit multi-temporalen Rapideye Satellitenbildern. Forst & Holz 65. Heft 6: pp:36-40.
Majunke, C., Zawila-Niedzwiecki, T., Marx, A. (2008): Nutzung von hochauflösenden Satellitenbildern zur Überwachung und Analyse des Befalls von Kiefernbeständen durch nadelfressende Insekten. Archiv für Forstwesen und Landschaftsökologie. Bd. 42. S. 70-74
Jochheim, H., Puhlmann, M., Marx, A. (2006): Modelling the carbon budget of selected German forestal intensive monitoring test sites using the simulation model BIOME-BGC. - In: Symposium Forest in a Changing Environment : Results of 20 years ICP Forests Monitoring, Göttingen, Germany, October 25-28, 2006 ; Proceedings: 32; Göttingen ( Nordwestdeutsche Forstliche Versuchsanstalt ).