MO4.P5.1
First results of VSWIR and LWIR Hyperspectral data over selected mine tailings in Arizona as an unconventional resource in critical minerals
Dean Riley, University of Arizona, United States; Daphne Chapline, Benjamin McKeeby, Northern Arizona University, United States; Jingping He, University of Arizona, United States; Sarah Braunisch, Arizona State University, United States; Christopher Edwards, Northern Arizona University, United States; Phil Christensen, Arizona State University, United States; Isabel Barton, University of Arizona, United States
Session:
MO4.P5: Mine Site Re-evaluation, Monitoring and Restoration II Oral
Track:
Community-Contributed Sessions
Location:
Room P5
Presentation Time:
Monday, 4 August, 15:45 - 16:00
Session Co-Chairs:
Anita Parbhakar-Fox, University of Queensland and Jo Miles, CSIRO
Presentation
Discussion
Resources
No resources available.
Session MO4.P5
MO4.P5.1: First results of VSWIR and LWIR Hyperspectral data over selected mine tailings in Arizona as an unconventional resource in critical minerals
Dean Riley, University of Arizona, United States; Daphne Chapline, Benjamin McKeeby, Northern Arizona University, United States; Jingping He, University of Arizona, United States; Sarah Braunisch, Arizona State University, United States; Christopher Edwards, Northern Arizona University, United States; Phil Christensen, Arizona State University, United States; Isabel Barton, University of Arizona, United States
MO4.P5.2: EVALUATION OF SPECTRAL AND SPATIAL RECONSTRUCTION IN RESOLUTION-ENHANCED HYPERSPECTRAL DATA FOR EFFECTIVE MINERAL MAPPING
Rupsa Chakraborty, Sam Thiele, Parth Naik, Richard Gloaguen, Helmholtz Zentrum Dresden-Rossendorf, Germany
MO4.P5.3: Quantitative characterization of bidirectional reflectance distribution of mine soil using BRDF models
Haimei Lei, Nisha Bao, Sihan Peng, Xiaoyan Yang, Zhiwei Lu, Northeastern University, China
MO4.P5.4: Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from proposed spectral index and interpretable CNN model based on hyperspectral satellite imagery
Nisha Bao, Haimei Lei, Sihan Peng, Northeastern University, China
MO4.P5.5: MULTISOURCE AND MULTISCALE SURFACE WATER QUALITY MONITORING: A CASE STUDY FOR THE CHALKIDIKI, GREECE
Martin Kýhos, Jan Jelének, Czech Geological Survey, Czech Republic; Athina Agali, Kostas Gounaris, Hellas Gold, Greece; Veronika Kopačková-Strnadová, Czech Geological Survey, Czech Republic
Resources
No resources available.