Victor Maus
Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
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
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. 10.3390/f9070389.
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.
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. , Andrade, P., Sanchez, A., Assis, L.F., Ribeiro, G., & Camara, G. (2017). wtss: An R Client for a Web Time-Series Service.
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.