Victor Maus

D1/D1.2.030

Welthandelsplatz 1

1020 Vienna, Austria

Welcome to my webpage. I am a researcher at the Institute for Ecological Economics at Vienna University of Economics and Business, as well as at the International Institute for Applied Systems Analysis (IIASA). My research is centered on spatial data science, particularly focusing on the development of machine learning techniques to analyze geospatial data, with applications in land use change and sustainability. Among my main scientific contributions are the development of the Time-Weighted Dynamic Time Warping (TWDTW) algorithm and the production of the first global land-use map on mineral extraction.

News

May 21, 2024	Speaker at OECD Forum on Responsible Mineral Supply Chains, Paris
May 15, 2024	Talk at LUT-Lahti, Finland
Jan 4, 2024	Nature comment

Selected publications

Impacts for half of the world’s mining areas are undocumented

Maus, Victor, and Werner, Tim T.

Nature 2024. 🔗 DOI Tweet
An update on global mining land use

Maus, Victor, Giljum, Stefan, Silva, Dieison M., Gutschlhofer, Jakob, Rosa, Robson P., Luckeneder, Sebastian, Gass, Sidnei L. B., Lieber, Mirko, and McCallum, Ian

Scientific Data 2022. 📎 🔗 DOI Tweet

Abs

The growing demand for minerals has pushed mining activities into new areas increasingly affecting biodiversity-rich natural biomes. Mapping the land use of the global mining sector is, therefore, a prerequisite for quantifying, understanding and mitigating adverse impacts caused by mineral extraction. This paper updates our previous work mapping mining sites worldwide. Using visual interpretation of Sentinel-2 images for 2019, we inspected more than 34,000 mining locations across the globe. The result is a global-scale dataset containing 44,929 polygon features covering 101,583 km2 of large-scale as well as artisanal and small-scale mining. The increase in coverage is substantial compared to the first version of the dataset, which included 21,060 polygons extending over 57,277 km2. The polygons cover open cuts, tailings dams, waste rock dumps, water ponds, processing plants, and other ground features related to the mining activities. The dataset is available for download from https://doi.org/10.1594/PANGAEA.942325and visualisation at www.fineprint.global/viewer.
A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping

Maus, Victor, Camara, Gilberto, Cartaxo, Ricardo, Sanchez, Alber, Ramos, Fernando M., and Queiroz, Gilberto R.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2016. 📎 🔗 DOI Tweet