Results 1 to 10 of about 1,985,869 (355)

Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning

open access: yesRemote Sensing, 2023
In surface mining operations, geological pit wall mapping is important since it provides significant information on the surficial geological features throughout the pit wall faces, thereby improving geological certainty and operational planning ...
Peng Yang   +3 more
doaj   +2 more sources

Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia. [PDF]

open access: yesSci Rep, 2017
We have developed an approach for automatic 3D geological mapping based on conversion of chemical composition of rocks to mineral composition by logical computation. It allows to calculate mineral composition based on bulk rock chemistry, interpolate the
Kalashnikov AO   +3 more
europepmc   +2 more sources

Digital Geological Mapping to Facilitate Field Data Collection, Integration, and Map Production in Zhoukoudian, China

open access: yesApplied Sciences, 2021
The development of innovative information technologies has improved the geological mapping process through the use of smart and portable equipment to collect field data, build a geological database and produce geological maps.
Chengbin Wang   +2 more
doaj   +2 more sources

Enhancement of the geological mapping in weathered plutonic and metamorphic rocks areas using village water supply wells data (lithology and hydrochemistry) [PDF]

open access: yesHeliyon
In weathered plutonic and metamorphic rocks areas, because rock outcrops are rare due to the extensive regolith cover, geological mapping is largely based on the interpretation of airborne data and imagery (aerial photographs, satellite images, airborne ...
Cheik Abba Cissé Ouangaré   +2 more
doaj   +2 more sources

Intelligent High-Resolution Geological Mapping Based on SLIC-CNN

open access: yesISPRS International Journal of Geo-Information, 2020
High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems.
Xuejia Sang   +5 more
doaj   +2 more sources

Engineering geological mapping using airborne LiDAR datasets – an example from the Vinodol Valley, Croatia

open access: yesJournal of Maps, 2020
This paper presents the potential of airborne LiDAR digital terrain model (DTM) for engineering geological mapping in geologically complex and forested area.
Petra Jagodnik   +3 more
doaj   +2 more sources

Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping [PDF]

open access: yesInternational Conference on Machine Learning, Optimization, and Data Science, 2023
Planetary science research involves analysing vast amounts of remote sensing data, which are often costly and time-consuming to annotate and process. One of the essential tasks in this field is geological mapping, which requires identifying and outlining
Sahib Julka, M. Granitzer
semanticscholar   +1 more source

3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures [PDF]

open access: yesHydrology and Earth System Sciences, 2021
Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to nitrogen (N) leaching from intensive N fertilization and management on agricultural fields.
R. B. Madsen   +8 more
doaj   +1 more source

Coastal Ecosystem Restoration Strategy Based on Carbon Storage Change: A Case Study of the Southeast Coastal Zone of Hainan Island

open access: yesRedai dili, 2023
Carbon peak and neutralization, land space ecological restoration, and sustainable management of sea areas and islands are all important components of national development strategies.
Sun Tiancheng   +9 more
doaj   +1 more source

Geological Mapping via Convolutional Neural Network Based on Remote Sensing and Geochemical Survey Data in Vegetation Coverage Areas

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Geological mapping in vegetation coverage areas is a challenging task. In this article, convolutional neural networks (CNNs) were employed for geological mapping in a vegetation coverage area based on remote sensing images and geochemical survey data ...
Ting Pan, R. Zuo, Ziye Wang
semanticscholar   +1 more source

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