Dean Riley, Vice President of Products, Echo Labs
Dr. Dean Riley is currently the Vice President of Products for Echo Labs. He received his Bachelor of Science from Oregon State University in 1991 in Geology. He received his Master of Science in 1994 and his Ph.D. in Geological Sciences in 2004, both from Ohio State University.
His Master’s thesis focused on crustal anatexis in the amphibolite-granulite transition of Rogaland SW Norway. His Ph.D. work was an integrated geological study of the Deblois Pluton in Eastern Maine incorporating igneous and metamorphic petrology, geochemistry, geological mapping, structural geology, geophysics and remote sensing.
Professionally, Dr. Riley has focused on geological remote sensing, data/sensor fusion algorithm development, and geotechnical engineering of underground facilities. He designed, organized, and led the first combined VNIR-SWIR and MWIR-LWIR hyperspectral sensor collection using a common roll-stage in 2008 for civil, commercial, and government customers. He has published papers on geological remote sensing in international journals and a book chapter. His research interests involve full-spectrum hyperspectral remote sensing (VNIR-SWIR, MWIR-LWIR), sensor fusion, and correlating spectroscopy with chemical, physical and mechanical properties of rocks and minerals.
A technical revolution with Unmanned Aerial Systems (UAS) is underway for mineral exploration and mine site operations. Digital photography, digital surface models, and visible-shortwave infrared (400 – 2500 nm) hyperspectral data can be collected with UAS for mineral exploration and mine operations. We collected UAS digital photography, digital surface models, and hyperspectral data at Atlin and Hope, British Columbia and Cuprite, Nevada.
In Cuprite, Nevada over 50 hectares were collected with UAS’s using digital photography, digital surface models, and hyperspectral data. The hyperspectral sensor collected from 400 nm to 2500 with 493 channels at about 5 nm spectral resolution. Digital photography has a 3 cm spatial resolution, the hyperspectral data has a spatial resolution of 10 cm, and the digital surface model was 0.5 and all the data was orthorectified. Mineral mapping was completed using spectral correlation mapping on atmospherically corrected data. UAS surveys are reliable and efficiently produce high resolution data.
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