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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. His main research interests are geoinformatics, environmental modeling, and Big Data Analytics.
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.
Last update: 22-SEP-2016
Hadi, Krasovskii A, Maus V, Yowargana P, Pietsch S, & Rautiainen M (2018). Monitoring Deforestation in Rainforests Using Satellite Data: A Pilot Study from Kalimantan, Indonesia. Forests 9 (7): e389. DOI:10.3390/f9070389.
Hadi H, Krasovskii A, Maus V, Yowargana P, Pietsch S, & Rautiainen M (2018). The potential of Landsat time series to characterize historical dynamic and monitor future disturbances in human-modified rainforests of Indonesia. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.
Maus V, Giljum S, Bruckner M, Lutter S, Lieber M, Luckeneder S, & Wieland H (2018). Mapping global extraction of abiotic and biotic raw materials. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.
Maus V (2017). dtwSat: An R Package for Land Cover Classification Using Satellite Image Time Series. In: EO Open Science 2017, 25-28 September 2017, Frascati, Italy.
Moorthy I, See L, Fritz S, McCallum I, Perger C, Dürauer M, Dresel C, Sturn T, et al. (2017). Crowd-driven tools for the calibration and validation of Earth Observation products. In: Earth Observation Open Science 2017 Conference, 25-28 September 2017, Frascati, Italy.
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.
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.
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.
Maus V, Appel M, & Giorgino T (2017). Time-Weighted Dynamic Time Warping for satellite image time series analysis (Software). v. 0.2.2
Maus V, Camara G, Appel M, & Pebesma E (2017). dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R. Journal of Statistical Software (In Press)
Maus V (2014). Satellite time series analysis for land use/cover change detection. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-14-017
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