Hyperspectral Remote Sensing and Geological Applications
D. Ramakrishnan,Rishikesh Bharti +1 more
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In this article, the potential of hyperspectral remote sensing (HRS) technique in various geological applications ranging from lithological mapping to exploration of economic minerals of lesser crustal abundance is reviewed.Abstract:
This article reviews the potential of Hyperspectral Remote Sensing (HRS) technique in various geological applications ranging from lithological mapping to exploration of economic minerals of lesser crustal abundance. This work updates understanding on the subject starting from spectroscopy of minerals to its application in exploring mineral deposits and hydrocarbon reservoirs through different procedures such as atmospheric correction, noise reduction, retrieval of pure spectral endmembers and unmixing. Besides linear unmixing, nonlinear unmixing and parameters attributed to nonlinear behaviour of reflected light are also addressed. A few case studies are included to demonstrate the efficacy of this technique in different geological explorations. Finally, recent developments in this field like ultra spectral imaging from unmanned aerial vehicles and its consequences are pointed out.read more
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An Overview of AVIRIS-NG Airborne Hyperspectral Science Campaign Over India
Bimal K. Bhattacharya,Robert O. Green,Sadasiva Rao,M.K. Saxena,Shweta Sharma,K. Ajay Kumar,P. Srinivasulu,S. K. Sharma,Dolly Wattal Dhar,S. K. Bandyopadhyay,Shantanu Bhatwadekar,Raj Kumar +11 more
TL;DR: Bimal K. Bhattacharya*, Robert O. Green, Sadasiva Rao, M. Saxena, Shweta Sharma, K. Ajay Kumar, P. Srinivasulu, Shashikant Sharma, D. Dhar, S. Bandyopadhyay, Shantanu Bhatwadekar and Raj Kumar Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India Jet Propulsion Laboratory, California Institute of Technology, CA 91109, USA National Remote Sensing Centre, India Earth Observation Science Directorate,
Journal ArticleDOI
Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review
Sima Peyghambari,Yun Zhang +1 more
TL;DR: In this paper, the authors review and update various steps of the techniques used in geological information extraction, such as lithological and mineralogical mapping, ore exploration, and environmental geology.
Journal ArticleDOI
ASTER capability in mapping of mineral resources of arid region: A review on mapping of mineral resources of the Sultanate of Oman
Sankaran Rajendran,Sobhi Nasir +1 more
TL;DR: In this paper, a review of scientific literatures published on mapping of the economic mineral resources of the Sultanate of Oman using ASTER and simples image processing methods is presented.
Journal ArticleDOI
Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping.
TL;DR: This study was conducted to prove the capability of AVIRIS-NG hyperspectral remote sensing data to identify zones of profitable mineral deposits.
Journal ArticleDOI
An Overview of Hyperspectral Remote Sensing and its applications in various Disciplines
Alpana Shukla,Rajsi Kot +1 more
TL;DR: An overview of hyperspectral imaging, data exploration and analysis, applications in various disciplines, advantages and disadvantages and future aspects of the technique are presented.
References
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Proceedings ArticleDOI
Atmospheric correction for shortwave spectral imagery based on MODTRAN4
Steven M. Adler-Golden,Michael W. Matthew,Lawrence S. Bernstein,Robert Y. Levine,Alexander Berk,Steven Richtsmeier,Prabhat K. Acharya,Gail P. Anderson,Jerry W. Felde,James A. Gardner,Michael L. Hoke,Laila S. Jeong,Brian Pukall,Anthony J. Ratkowski,Hsiao-hua K. Burke +14 more
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Use of airborne imaging spectrometer data to map minerals associated with hydrothermally altered rocks in the northern grapevine mountains, Nevada, and California
TL;DR: In this paper, three flightlines of Airborne Imaging Spectrometer (AIS) data, acquired over the northern Grapevine Mountains, Nevada, and California, were used to map minerals associated with hydrothermally altered rocks.
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Modeling Spectral and Bidirectional Soil Reflectance
TL;DR: In this paper, the spectral and bidirectional reflectance of 26 soils was measured in the laboratory both with a field spectroradiometer (1000 narrow wavebands from 450 nm to 2450 nm) and a radiometer simulating TM channels (the five TM2, TM3, TM4, TM5, and TM7 broad bands).
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Multispectral and hyperspectral image analysis with convex cones
TL;DR: An algorithm for finding the convex cone boundaries is presented, and applications to unsupervised unmixing and classification are demonstrated with simulated data as well as experimental data from the hyperspectral digital imagery collection experiment (HYDICE).