Mineral exploration by remote sensing techniques in Nepal

1983 ◽  
Vol 3 (2) ◽  
pp. 49-54 ◽  
Author(s):  
K.D. Bhattarai
Keyword(s):  
Remote Sensing ◽  
Mineral Exploration ◽  
Remote Sensing Techniques

scholarly journals Airborne remote sensing in East Greenland

1980 ◽  
Vol 100 ◽  
pp. 101-105
Author(s):  
T Thyrsted
Keyword(s):  
Remote Sensing ◽  
Mineral Exploration ◽  
New Method ◽  
Airborne Remote Sensing ◽  
East Greenland ◽  
Different Types ◽  
Remote Sensing Techniques

In the spring of 1979 a remote sensing project in East Greenland was commenced, introducing this new method of investigation to Greenland. The aim of the project is to investigate the possibility of using airborne remote sensing in connection with mineral exploration. In the region chosen for investigation (Inset, fig. 35) several mineralisations of different types and ages occur, and the purpose is to find out which remote sensing techniques and data processings are appropriate for detection and reproduction on images ofthese known mineralisations. The region is geologically well known and it is well exposed, vegetation and secondary cover being very limited.

scholarly journals Application of Remote Sensing in Earth Sciences – A Review

2021 ◽  
Vol 10 (05) ◽  
pp. 045-051
Author(s):  
Adel Shirazy Shirazy ◽  
Aref Shirazy ◽  
Hamed Nazerian
Keyword(s):  
Earth Sciences ◽  
Remote Sensing ◽  
Mineral Exploration ◽  
Mineral Resources ◽  
Geological Mapping ◽  
Alteration Zones ◽  
Review Study ◽  
Remote Sensing Techniques

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

Rediscovering the Discovery Outcrop: The Promises and Pitfalls of LiDAR Technology in Mineral Exploration

SEG Discovery ◽  
2013 ◽  
pp. 1-18
Author(s):  
Paul W. Jewell ◽  
J. Anna Farnsworth ◽  
Theresa Zajac
Keyword(s):  
Remote Sensing ◽  
Mineral Exploration ◽  
New Technology ◽  
Light Detection And Ranging ◽  
Quality Data ◽  
High Quality Data ◽  
Rock Types ◽  
Airborne Geophysics ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

ABSTRACT An increasing number of mineral discoveries rely on remote sensing methods such as airborne geophysics and hyperspectral imaging. The relatively new technology of Light Detection and Ranging (LiDAR), whereby surface outcrop patterns suggestive of economic mineralization can be identified, has the potential to join other remote sensing techniques employed by the exploration geologist. Successful application of LiDAR relies on rigorous, high-quality data collected under strict QA/QC standards and is most useful for delineating linear features such as faults or resistant rock types such as silicification. If used judiciously, LiDAR can join the toolbox of the modern exploration geologist working in heavily vegetated areas that contain many of the most prospective terrains left on Earth.

scholarly journals Remote sensing - a new tool in exploration geology

1986 ◽  
Vol 128 ◽  
pp. 135-146
Author(s):  
T Thyrsted
Keyword(s):  
Remote Sensing ◽  
Supervised Classification ◽  
Mineral Exploration ◽  
Principal Component ◽  
Landsat Images ◽  
Data Set ◽  
Remote Sensing Techniques ◽  
Lineament Analysis ◽  
Definition Of ◽  
Geophysical Measurements

Remote sensing techniques have been applied to mineral exploration in areas of South and East Greenland. The data consist of airborne and satellite-borne (Landsat) multispectral scanner images and geochemical and geophysical measurements interpolated into grid format and registered on the Landsat images. The main image processing methods applied include ratioing, principal component transformation/factor analysis and classification. In addition, visual and subsequent statistical analyses of lineaments were carried out on images from South Greenland. The results of the work include mapping of several hundred spectral anomalies which represent oxidation zones on the ground. The lineament analysis resulted in definition of major linear zones with increased lineament intensities; some of these zones may have geological significance. Supervised classification was carried out on an integrated data set consisting of images and geochemical/geophysical data. The training areas mainly included uranium showings, and the classified image depicts both previously known occurrences and a new area which is statistically similar to the training areas.

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