Quantitative Mineral Mapping of Drill Core Surfaces II: Long-Wave Infrared Mineral Characterization Using μXRF and Machine Learning
نویسندگان
چکیده
منابع مشابه
Mineral Mapping Using Simulated Worldview-3 Short-Wave-Infrared Imagery
WorldView commercial imaging satellites comprise a constellation developed by DigitalGlobe Inc. (Longmont, CO, USA). Worldview-3 (WV-3), currently planned for launch in 2014, will have 8 spectral bands in the Visible and Near-Infrared (VNIR), and an additional 8 bands in the Short-Wave-Infrared (SWIR); the approximately 1.0–2.5 μm spectral range. WV-3 will be the first commercial system with bo...
متن کاملDust source mapping using satellite imagery and machine learning models
Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...
متن کاملAdsorption of RNA on mineral surfaces and mineral precipitates
The prebiotic significance of laboratory experiments that study the interactions between oligomeric RNA and mineral species is difficult to know. Natural exemplars of specific minerals can differ widely depending on their provenance. While laboratory-generated samples of synthetic minerals can have controlled compositions, they are often viewed as "unnatural". Here, we show how trends in the in...
متن کاملQuantitative Analysis of Bone Mineral Using Ftir
Bone is a composite biomaterial mainly composed of packed collagen fibres and nano-sized hydroxylapatite (HA) crystals. Quantitative measurements of bone mine ral composition can provide insights into the bone mine ral formation in health and disease . Bone mineral characteristics such as crystal lini ty, carbonate and phosphate mineral content may vary as a function of age, sex, diet, bone l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Economic Geology
سال: 2021
ISSN: 1554-0774,0361-0128
DOI: 10.5382/econgeo.4804