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A review of machine learning in geochemistry and cosmochemistry: method improvements and applications
The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
Correlating tephras and cryptotephras using glass compositional analyses and numerical and statistical methods: review and evaluation
We define tephras and cryptotephras and their components (mainly ash-sized particles of
glass±crystals in distal deposits) and summarize the basis of tephrochronology as a …
glass±crystals in distal deposits) and summarize the basis of tephrochronology as a …
Machine learning thermo‐barometry: Application to clinopyroxene‐bearing magmas
We introduce a new approach, based on machine learning, to estimate pre‐eruptive
temperatures and storage depths using clinopyroxene‐melt pairs and clinopyroxene‐only …
temperatures and storage depths using clinopyroxene‐melt pairs and clinopyroxene‐only …
Apatite trace element composition as an indicator of ore deposit types: A machine learning approach
The diverse suite of trace elements incorporated into apatite in ore-forming systems has
important applications in petrogenesis studies of mineral deposits. Trace element variations …
important applications in petrogenesis studies of mineral deposits. Trace element variations …
A machine learning method for distinguishing detrital zircon provenance
Zircon geochemistry provides a sensitive monitor of its parental magma composition.
However, due to the complexity of the uptake of trace elements during zircon growth …
However, due to the complexity of the uptake of trace elements during zircon growth …
Artifact3-D: New software for accurate, objective and efficient 3D analysis and documentation of archaeological artifacts
The study of artifacts is fundamental to archaeological research. The features of individual
artifacts are recorded, analyzed, and compared within and between contextual …
artifacts are recorded, analyzed, and compared within and between contextual …
Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier
The major-element chemical composition of garnet provides valuable petrogenetic
information, particularly in metamorphic rocks. When facing detrital garnet, information about …
information, particularly in metamorphic rocks. When facing detrital garnet, information about …
Statistical features for land use and land cover classification in Google Earth Engine
WR Becker, TB Ló, JA Johann, E Mercante - Remote Sensing Applications …, 2021 - Elsevier
The possibility of identifying and quantifying agricultural areas objectively and quickly is a
relevant aspect in the Brazilian agricultural context, given the territorial extent of the country …
relevant aspect in the Brazilian agricultural context, given the territorial extent of the country …
Weka trainable segmentation plugin in ImageJ: a semi-automatic tool applied to crystal size distributions of microlites in volcanic rocks
Crystals within volcanic rocks record geochemical and textural signatures during magmatic
evolution before eruption. Clues to this magmatic history can be examined using crystal size …
evolution before eruption. Clues to this magmatic history can be examined using crystal size …
Advancing tephrochronology as a global dating tool: applications in volcanology, archaeology, and palaeoclimatic research
Layers of far-travelled volcanic ash (tephra) from explosive volcanic eruptions provide
stratigraphic and numerical dating horizons in sedimentary and volcanic sequences. Such …
stratigraphic and numerical dating horizons in sedimentary and volcanic sequences. Such …