Geoinformatics and Data Mining in Earth Sciences

Dear Colleagues,

The modern intensive accumulation of data on the wide range of observations in Earth Sciences requires sufficient methods and techniques for their comprehensive analysis and data mining. The analysis of data on potentially hazardous natural events such as earthquakes, tsunami, avalanches, landslides, geomagnetic storms, volcanic eruptions, mudflows, subsidence, floods, forest fires, tornadoes, etc. is of special significance. Analysis, assessment, and prediction of natural hazards are vital problems in the Earth Sciences.

This Topical Collection will present an outlook of modern Data Science approaches of geoinformatics and data mining in application to a wide range of Earth Sciences disciplines, including the hazard studies listed above. Applications of systems analysis, geographic systems, data mining, Big Data aspects, etc. are welcome to this Topical Collection. Particular attention will also be paid to the preservation of historical geodata.

We welcome original articles from various fields of Earth Sciences and Data Science. Articles dealing with interdisciplinary problems and challenges in Earth Sciences are especially welcome. Papers devoted to applications of Big Data theory and practice in geosciences are of particular interest.

Prof. Dr. Alexei Gvishiani
Dr. Boris Dzeboev
Collection Editors

Manuscript Submission Information

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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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 2400 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.