Victor Maus
Research Scholar
Ecosystems Services and Management
International Institute for Applied Systems Analysis
Austria
Biography
Victor Maus joined IIASA's Ecosystems Services and Management (ESM) Program as a Research Scholar in September 2016. His research will contribute to improving land cover data sets and developing a dynamic database to support model calibration and validation for GLOBIOM, EPIC, G4M, and BeWhere. Dr. Maus received his PhD from the National Institute for Space Research (INPE), Brazil, with a focus on satellite image time series analysis and land cover changes in the Brazilian Amazon. Prior to joining IIASA, he was working on Big Earth Observation Data Analytics at the Institute for Geoinformatics (IFGI), University of Münster, in Germany. In 2013, he participated in the Young Scientists Summer Program (YSSP) at IIASA.
Research Interest
His main research interests are geoinformatics, environmental modeling, and Big Data Analytics.
Publications
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Furlan V, Maus V, Batista I, & Bandarra NA (2017). Production of docosahexaenoic acid by Aurantiochytrium sp. ATCC PRA-276. Brazilian Journal of Microbiology 48 (2): 359-365. DOI:10.1016/j.bjm.2017.01.001.
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Marciel AM, Vinhas L, Camara G, Maus V, & Ferreira Gomes de Assis LF (2017). STILF - A spatiotemporal interval logic formalism for reasoning about events in remote sensing data. In: Brazilian Symposium of Remote Sensing, 28-31 May 2017, Santos, SP, Brazil.
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See L, Laso Bayas JC, Schepaschenko D, Perger C, Dresel C, Maus V, Salk C, Weichselgartner J, et al. (2017). LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya. Remote Sensing 9 (7): e754. DOI:10.3390/rs9070754.