Journal ArticleDOI
Recent advances in the use of public domain satellite imagery for mineral exploration: A review of Landsat-8 and Sentinel-2 applications
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TLDR
In this article, the authors provide a comprehensive review of the use of the Landsat-8 and Sentinel-2 multispectral sensors in mineral exploration and conclude that Landsat8 is by far the more popular sensor in mining applications.About:
This article is published in Ore Geology Reviews.The article was published on 2020-02-01. It has received 41 citations till now. The article focuses on the topics: Mineral exploration & Multispectral image.read more
Citations
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Journal ArticleDOI
Geostatistical and Remote Sensing Studies to Identify High Metallogenic Potential Regions in the Kivi Area of Iran
TL;DR: In this paper, the authors used geochemical, geostatistical, and remote sensing tools (in the form of stream sediment samples and satellite images) to identify metallic mineralization anomalies in the region.
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Assessment of the image-based atmospheric correction of multispectral satellite images for geological mapping in arid and semi-arid regions
TL;DR: In this article, the image-based and physical atmospheric corrections of Landsat 8 images for geological mapping were compared to the DOS1 (Dark Object Subtraction) imagebased method.
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Soil Aggregate Stability Mapping Using Remote Sensing and GIS-Based Machine Learning Technique
Yassine Bouslihim,Aicha Rochdi,Rachid Aboutayeb,Namira El Amrani-Paaza,Abdelhalim Miftah,Lahcen Hssaini +5 more
TL;DR: In this article, the authors focused on the feasibility of the use of adapted Leo Breiman's random forest algorithm (RF) to mapping different mean weight diameter (MWD) tests as an index of soil aggregate stability (SAS).
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Decision-Level and Feature-Level Integration of Remote Sensing and Geospatial Big Data for Urban Land Use Mapping
Jiadi Yin,Ping Fu,Nicholas A. S. Hamm,Zhichao Li,Nanshan You,Yingli He,Ali Cheshmehzangi,Jinwei Dong +7 more
TL;DR: An improved understanding of urban land use mapping in terms of the RS and GBD integration strategy is provided and a visual comparison indicates a generally better performance of DI- based classification than FI-based classification.
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Application of Dirichlet Process and Support Vector Machine Techniques for Mapping Alteration Zones Associated with Porphyry Copper Deposit Using ASTER Remote Sensing Imagery
Mastoureh Yousefi,Seyed Hassan Tabatabaei,Reyhaneh Rikhtehgaran,Amin Beiranvand Pour,Biswajeet Pradhan +4 more
TL;DR: In this article, an unsupervised Dirichlet Process (DP) and the supervised Support Vector Machine (SVM) techniques can be executed for mapping hydrothermal alteration zones associated with porphyry copper deposits.
References
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Classification and Regression Trees.
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Classification and regression trees
TL;DR: This article gives an introduction to the subject of classification and regression trees by reviewing some widely available algorithms and comparing their capabilities, strengths, and weakness in two examples.
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The spectral image processing system (SIPS) interactive visualization and analysis of imaging spectrometer data
Fred A. Kruse,Fred A. Kruse,A. B. Lefkoff,J. W. Boardman,K. B. Heidebrecht,A. T. Shapiro,P. J. Barloon,Alexander F. H. Goetz,Alexander F. H. Goetz +8 more
TL;DR: The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the Spectral Image Processing System (SIPS) using IDL (the Interactive Data Language) on UNIX-based workstations to develop operational techniques for quantitative analysis of imaging spectrometer data.
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A transformation for ordering multispectral data in terms of image quality with implications for noise removal
TL;DR: In this paper, a transformation known as the maximum noise fraction (MNF) transformation is presented, which always produces new components ordered by image quality, and it can be shown that this transformation is equivalent to principal components transformations when the noise variance is the same in all bands and that it reduces to a multiple linear regression when noise is in one band only.
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Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors
TL;DR: In this paper, a summary of the current equations and rescaling factors for converting calibrated Digital Numbers (DNs) to absolute units of at-sensor spectral radiance, Top-Of- Atmosphere (TOA) reflectance, and atsensor brightness temperature is provided.