Booysen, RenéNex, Paul A.M.Zimmermann, RobertLorenz, SandraGloaguen, RichardAndreani, LouisMöckel, Robert2024-04-302024-04-302019Booysen, R., Zimmermann, R., Lorenz, S., Gloaguen, R., Nex, P.A., Andreani, L. and Möckel, R., 2019. Towards multiscale and multisource remote sensing mineral exploration using rpas: A case study in the lofdal carbonatite-hosted ree deposit, Namibia. Remote Sensing, 11(21), p.2500.https://hdl.handle.net/10539/38408This article belongs to the Special Issue Surface Mineral Allocation and Lithological Mapping Based on Remote SensingTraditional exploration techniques usually rely on extensive field work supported by geophysical ground surveying. However, this approach can be limited by several factors such as field accessibility, financial cost, area size, climate, and public disapproval. We recommend the use of multiscale hyperspectral remote sensing to mitigate the disadvantages of traditional exploration techniques. The proposed workflow analyzes a possible target at different levels of spatial detail. This method is particularly beneficial in inaccessible and remote areas with little infrastructure, because it allows for a systematic, dense and generally noninvasive surveying. After a satellite regional reconnaissance, a target is characterized in more detail by plane-based hyperspectral mapping. Subsequently, Remotely Piloted Aircraft System (RPAS)-mounted hyperspectral sensors are deployed on selected regions of interest to provide a higher level of spatial detail. All hyperspectral data are corrected for radiometric and geometric distortions. End-member modeling and classification techniques are used for rapid and accurate lithological mapping. Validation is performed via field spectroscopy and portable XRF as well as laboratory geochemical and spectral analyses. The resulting spectral data products quickly provide relevant information on outcropping lithologies for the field teams. We show that the multiscale approach allows defining the promising areas that are further refined using RPAS-based hyperspectral imaging. We further argue that the addition of RPAS-based hyperspectral data can improve the detail of field mapping in mineral exploration, by bridging the resolution gap between airplane- and ground-based data. RPAS-based measurements can supplement and direct geological observation rapidly in the field and therefore allow better integration with in situ ground investigations. We demonstrate the efficiency of the proposed approach at the Lofdal Carbonatite Complex in Namibia, which has been previously subjected to rare earth elements exploration. The deposit is located in a remote environment and characterized by difficult terrain which limits ground surveys.en© 2019 by the authorsRemotely Piloted Aircraft System (RPAS)Mounted hyperspectral sensorsLofdal Carbonatite ComplexNamibiaMineral explorationHyperspectral sensorsMultiscaleCarbonatite complexSDG-17: Partnerships for the goalsArticlehttps://doi.org/10.3390/rs11212500