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Multi-Scale Remote Sensed Imagery for Mineral Exploration

This special issue belongs to the section “Remote Sensing in Geology, Geomorphology and Hydrology“.

Special Issue Information

Dear Colleagues,

Minerals are important resources for the survival of human society and economic development of the world. With the rapid development of emerging industries, such as new-generation information technology and high-end equipment manufacturing, the demand for minerals remains high, especially for a variety of strategic minerals such as rare earth, cobalt, and lithium. Addition, the projects of achieving carbon peaking and carbon neutrality are inseparable from mineral resources, as increased use of new energy sources, especially solar, wind and nuclear power, will increase the demand for the associated mineral resources. Therefore, it is critical to explore more minerals and to increase the reserves of minerals resources.

The aim of the Special Issue is to present new theories, methods and techniques which are used to remotely sense or explore minerals resources.  As key remote sensing techniques, geophysical methods, such as electromagnetic induction, the gravity and magnetic, and seismic methods, can efficiently locate the geometry of underground minerals. Using advanced data interpreting techniques and the help of laboratory experiments on rock samples, the geophysical method even has the ability to identify mineral composition. Data acquired by sensors installed on land, in boreholes, on helicopters and ships, on airborne devices and even on satellites have the chance to detect multiscale minerals resources. During the past ten years, along with the rapid evolution of acquisition instrument and data interpretation techniques, there have been significant developments in geophysical exploration methods. Therefore, it is indispensable to present and share these new developments.

As geophysical methods are indispensable techniques to the remote exploration of minerals resources, this topic is suitable to the scope of Remote Sensing.

The article can cover geophysical electromagnetic induction methods, gravity and magnetic, and geophysical seismic method. Works on laboratory experiments on rock samples, geological metallogenic mechanism of minerals resources, and even remote sensing methods are also welcome.

The types of articles submitted can be either reviewer articles or regular articles.

Prof. Dr. Zhengyong Ren
Prof. Dr. Jianhui Li
Prof. Dr. Hongzhu Cai
Dr. Xushan Lu
Prof. Dr. Jingtian Tang
Guest Editors

Manuscript Submission Information

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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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 semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 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.

Keywords

  • electromagnetic induction method
  • gravity
  • magnetic
  • seismic method

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Remote Sens. - ISSN 2072-4292