Sandra Lorenz
Sandra Lorenz
Group Leader Digital Processing, Helmholtz Institute Freiberg for Resource Technology
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Zitiert von
Zitiert von
The need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: Mephysto—A toolbox for pre-processing drone-borne …
S Jakob, R Zimmermann, R Gloaguen
Remote Sensing 9 (1), 88, 2017
Integration of terrestrial and drone-borne hyperspectral and photogrammetric sensing methods for exploration mapping and mining monitoring
M Kirsch, S Lorenz, R Zimmermann, L Tusa, R Möckel, P Hödl, ...
Remote Sensing 10 (9), 1366, 2018
Drone-borne hyperspectral monitoring of acid mine drainage: An example from the Sokolov lignite district
R Jackisch, S Lorenz, R Zimmermann, R Möckel, R Gloaguen
Remote sensing 10 (3), 385, 2018
Radiometric correction and 3D integration of long-range ground-based hyperspectral imagery for mineral exploration of vertical outcrops
S Lorenz, S Salehi, M Kirsch, R Zimmermann, G Unger, E Vest Sørensen, ...
Remote Sensing 10 (2), 176, 2018
Multi-scale, multi-sensor data integration for automated 3-D geological mapping
ST Thiele, S Lorenz, M Kirsch, ICC Acosta, L Tusa, E Herrmann, R Möckel, ...
Ore Geology Reviews 136, 104252, 2021
Detection of REEs with lightweight UAV-based hyperspectral imaging
R Booysen, R Jackisch, S Lorenz, R Zimmermann, M Kirsch, PAM Nex, ...
Scientific Reports 10 (1), 17450, 2020
Multi-sensor spectral imaging of geological samples: A data fusion approach using spatio-spectral feature extraction
S Lorenz, P Seidel, P Ghamisi, R Zimmermann, L Tusa, ...
Sensors 19 (12), 2787, 2019
Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods
S Lorenz, P Ghamisi, M Kirsch, R Jackisch, B Rasti, R Gloaguen
Remote Sensing of Environment 252, 112129, 2021
UAS-based hyperspectral environmental monitoring of acid mine drainage affected waters
H Flores, S Lorenz, R Jackisch, L Tusa, IC Contreras, R Zimmermann, ...
Minerals 11 (2), 182, 2021
Remote sensing based improvement of the geological map of the Neoproterozoic Ras Gharib segment in the Eastern Desert (NE–Egypt) using texture features
S Jakob, B Bühler, R Gloaguen, C Breitkreuz, HA Eliwa, K El Gameel
Journal of African Earth Sciences 111, 138-147, 2015
Integrated geological and geophysical mapping of a carbonatite-hosting outcrop in siilinjärvi, finland, using unmanned aerial systems
R Jackisch, S Lorenz, M Kirsch, R Zimmermann, L Tusa, M Pirttijärvi, ...
Remote Sensing 12 (18), 2998, 2020
Processing of drone-borne hyperspectral data for geological applications
S Jakob, R Zimmermann, R Gloaguen
2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016
Accurate hyperspectral imaging of mineralised outcrops: An example from lithium-bearing pegmatites at Uis, Namibia
R Booysen, S Lorenz, ST Thiele, WC Fuchsloch, T Marais, PAM Nex, ...
Remote Sensing of Environment 269, 112790, 2022
Towards multiscale and multisource remote sensing mineral exploration using rpas: A case study in the lofdal carbonatite-hosted ree deposit, Namibia
R Booysen, R Zimmermann, S Lorenz, R Gloaguen, PAM Nex, L Andreani, ...
Remote Sensing 11 (21), 2500, 2019
Remote sensing-based exploration of structurally-related mineralizations around Mount Isa, Queensland, Australia
S Jakob, R Gloaguen, C Laukamp
Remote Sensing 8 (5), 358, 2016
The potential of reflectance and laser induced luminescence spectroscopy for near-field rare earth element detection in mineral exploration
S Lorenz, J Beyer, M Fuchs, P Seidel, D Turner, J Heitmann, R Gloaguen
Remote Sensing 11 (1), 21, 2018
Integration of vessel-based hyperspectral scanning and 3D-photogrammetry for mobile mapping of steep coastal cliffs in the arctic
S Salehi, S Lorenz, E Vest Sørensen, R Zimmermann, R Fensholt, ...
Remote Sensing 10 (2), 175, 2018
Hyperspectral outcrop models for palaeoseismic studies
M Kirsch, S Lorenz, R Zimmermann, L Andreani, L Tusa, S Pospiech, ...
The Photogrammetric Record 34 (168), 385-407, 2019
Object detection routine for material streams combining RGB and hyperspectral reflectance data based on guided object localization
V Sudharshan, P Seidel, P Ghamisi, S Lorenz, M Fuchs, JS Fareedh, ...
IEEE Sensors Journal 20 (19), 11490-11498, 2020
The potential of machine learning for a more responsible sourcing of critical raw materials
P Ghamisi, KR Shahi, P Duan, B Rasti, S Lorenz, R Booysen, S Thiele, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
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