Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs
Authors
Keywords
-
Journal
Remote Sensing
Volume 14, Issue 1, Pages 5
Publisher
MDPI AG
Online
2021-12-21
DOI
10.3390/rs14010005
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Extending geometallurgy to the mine scale with hyperspectral imaging: a pilot study using drone- and ground-based scanning
- (2021) Isabel F. Barton et al. Mining Metallurgy & Exploration
- Mineral Physicochemistry Underlying Feature-Based Extraction of Mineral Abundance and Composition from Shortwave, Mid and Thermal Infrared Reflectance Spectra
- (2021) Carsten Laukamp et al. Minerals
- Multi-scale, multi-sensor data integration for automated 3-D geological mapping
- (2021) Samuel T. Thiele et al. ORE GEOLOGY REVIEWS
- High‐resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems
- (2021) Jae‐In Kim et al. Geoscience Data Journal
- A Novel and Open-Source Illumination Correction for Hyperspectral Digital Outcrop Models
- (2021) Samuel T. Thiele et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- Virtual and digital outcrops in the petroleum industry: A systematic review
- (2020) Ademir Marques et al. EARTH-SCIENCE REVIEWS
- Detection of REEs with lightweight UAV-based hyperspectral imaging
- (2020) René Booysen et al. Scientific Reports
- LIME: Software for 3-D visualization, interpretation, and communication of virtual geoscience models
- (2019) Simon J. Buckley et al. Geosphere
- Review of drones, photogrammetry and emerging sensor technology for the study of dykes: Best practises and future potential
- (2019) Gregory M. Dering et al. JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
- Ambient occlusion and PCV (portion de ciel visible): A new dental topographic metric and proxy of morphological wear resistance
- (2019) Michael A. Berthaume et al. PLoS One
- Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors
- (2019) Yoseline Angel et al. Remote Sensing
- Ground-based hyperspectral imaging as a tool to identify different carbonate phases in natural cliffs
- (2018) Julia Beckert et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Radiometric Correction and 3D Integration of Long-Range Ground-Based Hyperspectral Imagery for Mineral Exploration of Vertical Outcrops
- (2018) Sandra Lorenz et al. Remote Sensing
- Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows
- (2018) Helge Aasen et al. Remote Sensing
- Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring
- (2018) Moritz Kirsch et al. Remote Sensing
- 3-D stratigraphic mapping using a digital outcrop model derived from UAV images and structure-from-motion photogrammetry
- (2018) Paul Ryan Nesbit et al. Geosphere
- Ground-based and UAV-Based photogrammetry: A multi-scale, high-resolution mapping tool for structural geology and paleoseismology
- (2014) Sean P. Bemis et al. JOURNAL OF STRUCTURAL GEOLOGY
- Mapping the wavelength position of deepest absorption features to explore mineral diversity in hyperspectral images
- (2014) Frank J.A. van Ruitenbeek et al. PLANETARY AND SPACE SCIENCE
- Terrestrial lidar and hyperspectral data fusion products for geological outcrop analysis
- (2013) Simon J. Buckley et al. COMPUTERS & GEOSCIENCES
- Close-range hyperspectral imaging for geological field studies: workflow and methods
- (2012) Tobias H. Kurz et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Integration of panoramic hyperspectral imaging with terrestrial lidar data
- (2011) Tobias H. Kurz et al. PHOTOGRAMMETRIC RECORD
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started