Geoinformationsverarbeitung in der Umweltplanung

M. Sc. Alexander Marx

Wissenschaftlicher Mitarbeiter

Lebenslauf

2021Scientific assistant at TU Berlin
Project: First2.0, Produktentwicklung zur skalenübergreifenden kontinuierlichen Vitalitäts- und Waldschadensanalyse mittels multisensoraler Fernerkundungsdaten und künstlicher Intelligenz.
2018 - presentFreelancer / Entrepreneur / Founder at EOGREEN ANALYTICS Most recent projects:
2019/2020: WWF Deforestation Fronts 2.0: Deforestation drivers analysis (Borneo, Cambodia, Democratic Republic of Congo, Brazilian Amazon); Link
2020: Forest Enterprise of the German Federal State of Brandenburg: Forest Health Monitoring (defoliators, drought stress)
2007 - 2018Remote Sensing Specialist (Applied remote sensing of forests) Planet Labs Germany GmbH (formerly BlackBridge AG, formerly RapidEye AG)
· Research for Applications/application development
· Technical sales engineer
· Implementation of EU-Funded projects (e.g., EUFODOS: European Forestry Downstream Services)
2006 - 2007Scientific 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.
2006Scientific Assistant, Cantonal office for fisheries and hunting, Zug (Switzerland)
· survey and analysis of fish biological data (brown trout)
· preparation of a manual: "Analysis of fish biological data with MS Excel“; Adaption and publication by the Federal Bureau of Environment, Switzerland (BAFU)
2002 – 2006M.Sc. Forest Information Technology University of Sustainable Development (HNEE), Eberswalde, Germany
1998 – 2002B.Sc. International Forest Ecosystem Management University of Sustainable Development (HNEE), Eberswalde, Germany
1972born in Königs Wusterhausen (near Berlin), Germany
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Kontaktinformationen

Telefon-
E-Mailalexander.marx@tu-berlin.de
RaumEB 203A

Publikationen

2017

Marx, Alexander; Kleinschmit, Birgit
Sensitivity analysis of RapidEye spectral bands and derived vegetation indices for insect defoliation detection in pure Scots pine stands
iForest-Biogeosciences And Forestry, 10 :659-668
2017
ISSN: 1971-7458