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Victor Maus
Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
Contact
Biography
Victor Maus joined IIASA in September 2016 and is currently a research scholar in the Novel Data Ecosystems for Sustainability Research Group of the IIASA Advancing Systems Analysis Program. In addition to his work in geoinformatics at IIASA, he is also a researcher at the Institute for Ecological Economics at the Vienna University of Economics and Business in Austria.His research on machine learning focuses on new methods and algorithms for remote sensing; contributing to improving global land cover information. He is the author of the Time-Weighted Dynamic Time Warping (TWDTW) algorithm for satellite image time series classification, available in the R package dtwSat.
Maus received his PhD from the National Institute for Space Research (INPE), Brazil, focusing on satellite image time series analysis and land cover changes in the Brazilian Amazon. Before joining IIASA, he worked on Big Earth Observation Data Analytics at the Institute for Geoinformatics (IFGI) at the University of Munster in Germany. In 2013, he participated in the IIASA Young Scientists Summer Program (YSSP).
Last update: 29 JUN 2022
Publications
Moorthy, I., See, L. , Fritz, S. , McCallum, I. , Perger, C., Dürauer, M., Dresel, C., Sturn, T., Karner, M., Schepaschenko, D. , Lesiv, M. , Danylo, O., Laso Bayas, J.C. , Salk, C., Maus, V. , Fraisl, D. , Domian, D., & Mathieu, P.P. (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, J.C. , Schepaschenko, D. , Perger, C., Dresel, C., Maus, V. , Salk, C., Weichselgartner, J., Lesiv, M. , McCallum, I. , Moorthy, I., & Fritz, S. (2017). LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya. Remote Sensing 9 (7) e754. 10.3390/rs9070754.
Marciel, A.M., Vinhas, L., Camara, G., Maus, V. , & Ferreira Gomes de Assis, L.F. (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, N.A. (2017). Production of docosahexaenoic acid by Aurantiochytrium sp. ATCC PRA-276. Brazilian Journal of Microbiology 48 (2) 359-365. 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