نتایج جستجو برای: mineral prospectivity mapping

تعداد نتایج: 264045  

2014
S. Aravindan

In order to determine mineralogy of rock and soil samples, reflectance and emittance spectroscopy in the near-infra red and short-wave infra-red is used extensively and found to be inexpensive. Hyper spectral remote sensing satellite data are found to be prospective to deliver in depth physico-chemistry like mineralogy, chemistry, morphology of the earth’s surface. Therefore hyper spectral data...

Journal: :Computers & Geosciences 2009
Qiuming Cheng Frederik P. Agterberg

Hydrothermal processes in the Earth’s crust can result in ore deposits characterized by high concentrations of metals with fractal or multifractal properties. This paper shows that stream sediments in the neighborhoods of ore deposits also can have singular properties for ore-mineral and associated toxic trace elements. We propose a new local singularity mapping method for assembling element co...

The method of weights of evidence is one of the most important data driven methods for mineral potential mapping in GIS. In this method, considering the characteristics of known mineralized locations, we can prospect new mineralized areas. In this research work, the method of weights of evidence has been used for hydrothermal gold potential mapping in Torbat-e-Heydarieh area, east of Iran. As a...

Journal: :Remote Sensing 2016
Gila Notesco Yaron Ogen Eyal Ben-Dor

Hyperspectral remote-sensing in the reflected infrared and thermal infrared regions offers a unique and efficient alternative for mineral mapping, as most minerals exhibit spectral features in these regions, mainly in the shortwave and longwave infrared. Airborne hyperspectral data in both spectral regions, acquired with the AisaFENIX and AisaOWL (Specim) sensors over Makhtesh Ramon in Israel, ...

Journal: :Remote Sensing 2016
Naoto Yokoya Jonathan Cheung-Wai Chan Karl Segl

Spaceborne hyperspectral images are useful for large scale mineral mapping. Acquired at a ground sampling distance (GSD) of 30 m, the Environmental Mapping and Analysis Program (EnMAP) will be capable of putting many issues related to environment monitoring and resource exploration in perspective with measurements in the spectral range between 420 and 2450 nm. However, a higher spatial resoluti...

2006
Pravesh Debba

This thesis presents statistical sampling scheme optimization for geo-environmental purposes on the basis of hyperspectral data. It integrates derived products of the hyperspectral remote sensing data into individual sampling schemes. Five different issues are being dealt with. First, the optimized sampling scheme is presented to select samples that represent different ontological categories. T...

Journal: :International journal of science and engineering applications 2021

The application of remote sensing sciences in the field geology is very diverse and wide. One its most important applications earth geological mapping. Mineral exploration using techniques done different ways, one them mapping alteration zones related to mineral resources. Given importance geosciences today's industry given that deposit-related areas are exploratory keys. this review study meth...

1999
M. CHICA - OLMO F. ABARCA J. P. RIGOL

Remote sensing techniques and spatial data analysis through Geographic Information Systems (GIS) have been jointly applied in a mineral exploration context to identify gold-rich potential areas in SE Spain. Results conŽ rm the usefulness of this integrated methodological approach as an eVective tool to assess mineral potential in the studied region. Satellite and airborne image analysis have oV...

Journal: :Journal of scientific research 2020

Journal: :Remote Sensing 2021

Drill-core samples are a key component in mineral exploration campaigns, and their rapid objective analysis is becoming increasingly important. Hyperspectral imaging of drill-cores non-destructive technique that allows for non-invasive fast mapping phases alteration patterns. The use adapted machine learning techniques such as supervised algorithms robust accurate drill-core hyperspectral data....

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