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
Maus, V. , da Silva, D., Gutschlhofer, J., da Rosa, R., Giljum, S., Gass, S.L.B, Luckeneder, S., Lieber, M., & McCallum, I. (2022). Global-scale mining polygons (Version 2). 10.1594/PANGAEA.942325.
Giljum, S., Maus, V. , Kuschnig, N., Luckeneder, S., Tost, M., Sonter, L.J., & Bebbington, A.J. (2022). A pantropical assessment of deforestation caused by industrial mining. Proceedings of the National Academy of Sciences 119 (38) e2118273119. 10.1073/pnas.2118273119.
Maus, V. , Giljum, S., da Silva, D.M., Gutschlhofer, J., da Rosa, R.P., Luckeneder, S., Gass, S.L.B., Lieber, M., & McCallum, I. (2022). An update on global mining land use. Scientific Data 9 (1) e433. 10.1038/s41597-022-01547-4.
Luckeneder, S., Giljum, S., Schaffartzik, A., Maus, V. , & Tost, M. (2021). Surge in global metal mining threatens vulnerable ecosystems. Global Environmental Change 69 e102303. 10.1016/j.gloenvcha.2021.102303.
Tsendbazar, N.-E., Tarko, A., Li, L., Herold, M., Lesiv, M. , Fritz, S. , & Maus, V. (2021). Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Validation Report. Zenodo 10.5281/zenodo.4723975.