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M. Sc. Alexander Marx
[1]- © Alexander Marx
Wissenschaftlicher Mitarbeiter
Tel.: +49 (0)30 / 314 -
E-Mail:
alexander.marx@tu-berlin.de [2]
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:
|
| 2007 - 2018
| Remote Sensing Specialist
(Applied remote sensing of forests) Planet Labs Germany GmbH (formerly
BlackBridge AG, formerly RapidEye AG)
|
| 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)
|
| 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 ).
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