Publications

Publications automatically retrieved from my ORCID profile.

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Giljum, S., Maus, V., Sonter, L., Luckeneder, S., Werner, T., Lutter, S., Gershenzon, J., Cole, M. J., Siqueira-Gay, J., & Bebbington, A. (2025). Metal mining is a global driver of environmental change. Nature Reviews Earth & Environment, 6(7), 441–455. https://doi.org/10.1038/s43017-025-00683-w

Jasansky, S., Maus, V., Popa, M., & Wilbik, A. (2025). Semantic segmentation of mining areas in satellite images: Towards a global approach. https://doi.org/10.2139/ssrn.5108343

Luckeneder, S., Maus, V., Siqueira-Gay, J., Krisztin, T., & Kuhn, M. (2025). Forest loss and uncertain economic gains from industrial and garimpo mining in brazilian municipalities. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-61930-8

Lutter, S., Maus, V., Luckeneder, S., & Tost, M. (2025). Increasing water use in global copper production threatens freshwater availability. Vienna University of Economics; Business. https://doi.org/10.57938/441B6E21-B914-4565-A2AF-623F78ED92C6

Maus, V. (2025). A data-driven approach to mapping global commodity-specific mining land-use. https://doi.org/10.2139/ssrn.5408302

Sonter, L. J., Nursamsi, I., Bennun, L., Graham, J., Maus, V., Rainey, H., Starkey, M., Turner, J. A., Watson, J. E. M., & Prescott, G. W. (2025). Global land cover maps do not reveal mining pressures to biodiversity. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-01959-3

Sun, X., Giljum, S., Maus, V., Schomberg, A., Zhang, S., & You, F. (2025). Robust assessments of lithium mining impacts embodied in global supply chain require spatially explicit analyses. Environmental Science & Technology, 59(14), 7081–7094. https://doi.org/10.1021/acs.est.4c12749

Xu, S., Zhou, J., Wang, K., Giljum, S., Maus, V., Werner, T. T., Tang, L., Guo, J., & Xiao, W. (2025). Global surface mining and land reclamation of time series from 1985–2022. https://doi.org/10.5194/essd-2025-583

Luckeneder, S., Giljum, S., Maus, V., Sonter, L. J., & Lenzen, M. (2024). EU consumption’s hidden link to global deforestation caused by mining. Vienna University of Economics; Business. https://doi.org/10.57938/B890EED0-1AB4-43AF-B577-DF48F43290A6

Maus, V., & Werner, T. T. (2024). Impacts for half of the world’s mining areas are undocumented. Nature, 625(7993), 26–29. https://doi.org/10.1038/d41586-023-04090-3

Crona, B., Parlato, G., Lade, S., Fetzer, I., & Maus, V. (2023). Going beyond carbon: An “earth system impact” score to better capture corporate and investment impacts on the earth system. Journal of Cleaner Production, 429, 139523. https://doi.org/10.1016/j.jclepro.2023.139523

Jasansky, S., Lieber, M., Giljum, S., & Maus, V. (2023). An open database on global coal and metal mine production. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-01965-y

Sonter, L. J., Maron, M., Bull, J. W., Giljum, S., Luckeneder, S., Maus, V., McDonald-Madden, E., Northey, S. A., Sánchez, L. E., Valenta, R., Visconti, P., Werner, T. T., & Watson, J. E. M. (2023). How to fuel an energy transition with ecologically responsible mining. Proceedings of the National Academy of Sciences, 120(35). https://doi.org/10.1073/pnas.2307006120

Werner, T. T., Toumbourou, T., Maus, V., Lukas, M. C., Sonter, L. J., Muhdar, M., Runting, R. K., & Bebbington, A. (2023). Patterns of infringement, risk, and impact driven by coal mining permits in indonesia. Ambio, 53(2), 242–256. https://doi.org/10.1007/s13280-023-01944-y

Wimmer, L., Maus, V., & Luckeneder, S. (2023). Investigating social inequality of urban green spacedistribution using sentinel-2: The case of vienna. Vienna University of Economics; Business. https://doi.org/10.57938/D7D6E6D9-2E14-4448-999A-2963C725E6F7

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). https://doi.org/10.1073/pnas.2118273119

Maus, V., Giljum, S., Silva, D. M. da, Gutschlhofer, J., Rosa, R. P. da, Luckeneder, S., Gass, S. L. B., Lieber, M., & McCallum, I. (2022). An update on global mining land use. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01547-4

Maus, V., Silva, D. M. da, Gutschlhofer, J., Rosa, R. da, Giljum, S., Gass, S. L. B., Luckeneder, S., Lieber, M., & McCallum, I. (2022). Global-scale mining polygons (version 2). PANGAEA. https://doi.org/10.1594/PANGAEA.942325

Luckeneder, S., Giljum, S., Schaffartzik, A., Maus, V., & Tost, M. (2021). Surge in global metal mining threatens vulnerable ecosystems. Global Environmental Change, 69, 102303. https://doi.org/10.1016/j.gloenvcha.2021.102303

Maus, V., Giljum, S., Gutschlhofer, J., Silva, D. M. da, Probst, M., Gass, S. L. B., Luckeneder, S., Lieber, M., & McCallum, I. (2020). A global-scale data set of mining areas. Scientific Data, 7(1). https://doi.org/10.1038/s41597-020-00624-w

Maus, V., Giljum, S., Gutschlhofer, J., Silva, D. M. da, Probst, M., Gass, S. L. B., Luckeneder, S., Lieber, M., & McCallum, I. (2020). Global-scale mining polygons (version 1). PANGAEA. https://doi.org/10.1594/PANGAEA.910894

Tsendbazar, N.-E., Tarko, A., Li, L., Herold, M., Lesiv, M., Fritz, S., & Maus, V. (2020). Copernicus global land service: Land cover 100m: Version 3 globe 2015-2019: Validation report. Zenodo. https://doi.org/10.5281/ZENODO.3938974

Bruckner, M., Häyhä, T., Giljum, S., Maus, V., Fischer, G., Tramberend, S., & Börner, J. (2019). Quantifying the global cropland footprint of the european union’s non-food bioeconomy. Environmental Research Letters, 14(4), 045011. https://doi.org/10.1088/1748-9326/ab07f5

Maus, V., Câmara, G., Appel, M., & Pebesma, E. (2019). dtwSat: Time-weighted dynamic time warping for satellite image time series analysis in r. Journal of Statistical Software, 88(5). https://doi.org/10.18637/jss.v088.i05

Stanimirova, R., Arévalo, P., Kaufmann, R. K., Maus, V., Lesiv, M., Havlík, P., & Friedl, M. A. (2019). Sensitivity of global pasturelands to climate variation. Earth’s Future, 7(12), 1353–1366. https://doi.org/10.1029/2019ef001316

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), 389. https://doi.org/10.3390/f9070389

Furlan, V. J. M., Maus, V., Batista, I., & Bandarra, N. M. (2017). Production of docosahexaenoic acid by aurantiochytrium sp. ATCC PRA-276. Brazilian Journal of Microbiology, 48(2), 359–365. https://doi.org/10.1016/j.bjm.2017.01.001

See, L., Laso Bayas, J., Schepaschenko, D., Perger, C., Dresel, C., Maus, V., Salk, C., Weichselbaum, 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), 754. https://doi.org/10.3390/rs9070754

Camara, G., Maciel, A., Maus, V., Vinhas, L., & Sanchez, A. (2016). Using dynamic geospatial ontologies to support information extraction from big earth observation data sets. International Conference on GIScience Short Paper Proceedings, 1. https://doi.org/10.21433/b3115w54k25v

Maus, V., Camara, G., Cartaxo, R., Sanchez, A., Ramos, F. M., & Queiroz, G. R. de. (2016). A time-weighted dynamic time warping method for land-use and land-cover mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8), 3729–3739. https://doi.org/10.1109/jstars.2016.2517118

Maus, V., Camara, G., Cartaxo, R., Ramos, F. M., Sanchez, A., & Ribeiro, G. Q. (2015). Open boundary dynamic time warping for satellite image time series classification. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3349–3352. https://doi.org/10.1109/igarss.2015.7326536

See, L., Schepaschenko, D., Lesiv, M., McCallum, I., Fritz, S., Comber, A., Perger, C., Schill, C., Zhao, Y., Maus, V., Siraj, M. A., Albrecht, F., Cipriani, A., Vakolyuk, M., Garcia, A., Rabia, A. H., Singha, K., Marcarini, A. A., Kattenborn, T., … Obersteiner, M. (2015). Building a hybrid land cover map with crowdsourcing and geographically weighted regression. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 48–56. https://doi.org/10.1016/j.isprsjprs.2014.06.016

FURLAN, V. J. M., PAULO, M. D. C., MAUS, V. W., FERREIRA, J., BATISTA, I., & BANDARRA, N. M. (2014). PRODUCTION OF DOCOSAHEXAENOIC ACID (DHA) FROM thraustochytrium sp. ATCC 26185 USING DIFFERENTS NITROGEN CONCENTRATIONS. Boletim Do Centro de Pesquisa de Processamento de Alimentos, 32(1). https://doi.org/10.5380/cep.v32i1.36925