A review of machine learning in processing remote sensing data for mineral exploration
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …
different minerals in recent years has led exploration geologists to look for more efficient and …
A systematic review on the application of machine learning in exploiting mineralogical data in mining and mineral industry
Machine learning is a subcategory of artificial intelligence, which aims to make computers
capable of solving complex problems without being explicitly programmed. Availability of …
capable of solving complex problems without being explicitly programmed. Availability of …
Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery
S Li, L ** using remote sensing data: A case study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas …
Remote sensing data proved to be a valuable resource in a variety of earth science
applications. Using high-dimensional data with advanced methods such as machine …
applications. Using high-dimensional data with advanced methods such as machine …
Twenty years of ASTER contributions to lithologic map** and mineral exploration
M Abrams, Y Yamaguchi - Remote Sensing, 2019 - mdpi.com
The Advanced Spaceborne Thermal Emission and Reflection Radiometer is one of five
instruments operating on the National Aeronautics and Space Administration (NASA) Terra …
instruments operating on the National Aeronautics and Space Administration (NASA) Terra …
Lithological classification using Sentinel-2A data in the Shiban**g ophiolite complex in Inner Mongolia, China
As a source of data continuity between Landsat and SPOT, Sentinel-2 is an Earth
observation mission developed by the European Space Agency (ESA), which acquires 13 …
observation mission developed by the European Space Agency (ESA), which acquires 13 …
West African lateritic pediments: Landform-regolith evolution processes and mineral exploration pitfalls
This paper is a contribution to the understanding of surface dynamics of tropical shields over
geological timescales. Emphasis is put on the fundamental and applied implications of …
geological timescales. Emphasis is put on the fundamental and applied implications of …
Map** landform and landslide susceptibility using remote sensing, gis and field observation in the southern cross road, Malang regency, East Java, Indonesia
There has been an increasing trend of land area being brought under human's use over
time. This situation has led the community to carry out land-use development activities in …
time. This situation has led the community to carry out land-use development activities in …
Hyper-temporal remote sensing data in bare soil period and terrain attributes for digital soil map** in the Black soil regions of China
Remote sensing image data are often used as input in digital soil map** (DSM). However,
it is difficult to distinguish and identify soil types with less difference in reflectance spectral …
it is difficult to distinguish and identify soil types with less difference in reflectance spectral …
Deep learning for dune pattern map** with the AW3D30 global surface model
S Shumack, P Hesse… - Earth Surface Processes …, 2020 - Wiley Online Library
In this paper we present a deep learning (U‐Net)‐based workflow for classifying linear dune
landforms based on the discrete Laplacian convolution of a new global elevation dataset …
landforms based on the discrete Laplacian convolution of a new global elevation dataset …