![\"\"](\"https:\/\/research.utm.my\/wp-content\/uploads\/sites\/36\/2019\/01\/horizontal-banner-dark.png\")
<\/a><\/p>\nGE Invitation – Special Issue “Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas”
\n==========================================================<\/p>\n
Dear Colleagues,<\/p>\n
Remote sensing technology plays a vital role in the initial stages of ore mineral exploration. Increasing demands for minerals by society due to the exponential growth in population and industrialization emphasize the need for replenishing depleting reserves by locating new prospective ore deposits. In recent decades, hydrothermal alteration mineral detection has become one of the most conspicuous applications of multispectral and hyperspectral remote sensing satellite data for ore mineral exploration. Numerous ore deposits such as orogenic gold, porphyry copper, massive sulfide, epithermal gold, podiform chromite, uranium, magnetite and iron oxide copper-gold (IOCG) deposits have been successfully prospected and discovered using remote sensing satellite imagery in the metallogenic provinces and frontier areas around the world. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Landsat data series, the Advanced Land Imager (ALI), Worldview-3, Hyperion, HyMap and the Airborne Visible\/IR Image Spectrometer (AVIRIS) multispectral and hyperspectral data support cost-effective techniques for ore mineral exploration around the world. Advanced image processing algorithms based on state-of-the-art data extraction techniques can be implemented for detecting key alteration minerals associated with a variety of ore deposits. Analytical spectral device (ASD) spectroscopy and X-ray diffraction (XRD) analysis in conjunction with remote sensing data can provide comprehensive information about the alteration zones and mineral assemblages associated with ore mineralizations. Synthetic Aperture Radar (SAR) data contain a high potential for structural analysis and mapping in metallogenic provinces. On the other hand, human-induced change in the form of mine excavation, mine tailing, mine waste and acid runoff requires particular monitoring by remote sensing satellite data. Environmental pollution mapping and monitoring of mined areas are the main challenges that need to be addressed for future sustainability and environmental management in metallogenic provinces.<\/p>\n
The topics of interest include, but are not limited to:<\/p>\n
Hydrothermal alteration mineral mapping
\nPorphyry copper prospecting
\nReflectance and emission spectroscopy of phyllosilicates
\nGeothermal potential mapping
\nSpectral mapping alghorithm analysis and development
\nNew pixel- and sub-pixel-based image analysis techniques
\nEnvironmental monitoring of mined areas
\nDetecting toxic pollution related to mine excavation, mine tailing, mine waste and acid runoff
\nRecent advances in remote sensing information fusion for mineral exploration
\nReal-world case studies of mineral prospecting in inaccessible regions using remote sensing data
\nGeological mapping and mineral exploration in Antarctica and the Artic
\nHyperspectral data analysis for mineral detection
\nGIS and remote sensing integration for mineral exploration modeling
\nIntegration of multispectral and hyperspectral data for mineral mapping
\nApplication of SAR data for structural mapping in metallogenic provinces
\nRaman spectroscopy for mineral detection
\nCharacterization of recently-launched satellite sensors for mineral detection
\nInterpretation of ASD spectroscopy and XRD analysis for mineral exploration
\nRegional lithological and geological mapping using satellite remote sensing data
\nListvenite mapping in orogenic systems
\nReflectance spectroscopy of rocks and minerals
\nMineral mapping using airborne hyperspectral data
\nApplication of automatic target detection algorithms for hyperspectral imagery
\nDr. Amin Beiranvand Pour
\nProf. Dr. Basem Zoheir
\nProf. Dr. Biswajeet Pradhan
\nProf. Dr. Mazlan Hashim
\nGuest Editors<\/p>\n
Manuscript Submission Information<\/p>\n
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.<\/p>\n
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access bimonthly journal published by MDPI.<\/p>\n
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.<\/p>\n
Keywords<\/p>\n
Remote sensing
\nEarth observations
\nOre mineral exploration
\nMultispectral and hyperspectral remote sensing data
\nHydrothermal alteration minerals
\nReflectance and emission spectroscopy
\nSpectral mapping algorithms
\nASTER remote sensing data
\nLandsat data series
\nHyperion
\nPublished papers<\/p>\n
This special issue is now open for submission.<\/p>\n
Deadline for manuscript submissions: 30 September 2019<\/p>\n