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CHARACTERIZING RESOURCE FRONTIERS
A REPOSITORY OF GLOBAL DATASETS
PUBLICATIONS
We’re sharing our work here so that you can see how we’ve been using these datasets.
There is potential for many other types of studies.
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Owen, J. R., Kemp, D., Lechner, A. M., Ang, M. L. E., Mudd, G. M., Macklin, M. G., Saputra, M. R. U., Witra, T., & Bebbington, A. (2024). Increasing mine waste will induce land cover change that results in ecological degradation and human displacement. 351 (December 2023). https://doi.org/10.1016/j.jenvman.2023.119691
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Ang, M. L. E., Owen, J. R., Gibbins, C. N., Kemp, D., Saputra, M. R. U., Everingham, J., & Lechner, A. M. (2023). Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining. https://doi.org/10.1177/10704965231190126
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Owen, J. R., Kemp, D., Harris, J., & Lechner, A. M. (2022). Fast track to failure? Energy transition minerals and the future of consultation and consent. Energy Research & Social Science, 89(April), 102665. https://doi.org/10.1016/J.ERSS.2022.102665
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Owen, J. R., Kemp, D., Lechner, A. M., Harris, J., Zhang, R., & Lèbre, É. (2022). Energy transition minerals and their intersection with land-connected peoples. Nature Sustainability 2022 6:2, 6(2), 203–211. https://doi.org/10.1038/s41893-022-00994-6
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Owen, J. R., Kemp, D., Lèbre, Svobodova, K., & Pérez Murillo, G. (2020). Catastrophic tailings dam failures and disaster risk disclosure. International Journal of Disaster Risk Reduction, 42. https://doi.org/10.1016/j.ijdrr.2019.101361
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Ang, M. L. E., Arts, D., Crawford, D., Labatos, B. V., Ngo, K. D., Owen, J. R., Gibbins, C., & Lechner, A. M. (2020). Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping. Remote Sensing Applications: Society and Environment, 21(July 2020), 100458. https://doi.org/10.1016/j.rsase.2020.100458
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Lechner, A. M., Owen, J., Ang, M. L. E., Edraki, M., Che Awang, N. A., & Kemp, D. (2019). Historical socio-environmental assessment of resource development footprints using remote sensing. Remote Sensing Applications: Society and Environment, 15. https://doi.org/10.1016/j.rsase.2019.100236
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