Planetary 3D Mapping, Remote Sensing and Machine Learning

Dear Colleagues,

Our knowledge and understanding of the physical processes of the Earth and Planets within our Solar System have been enormously enhanced since space-based remote sensing and photogrammetry was applied from orbital platforms in the 1960s.

Over the last two decades, the pace of technology development and the associated quality of space-based data has accelerated to a point where we have details on planetary surfaces comparable to what we have on the Earth.

We would like to invite you to submit articles on new methods and their applications to 3D mapping of surfaces (both solid and subsurface as well as cloud or aerosol), to landscape characterisation to new methods using deep learning and machine vision to different wavelengths including hyperspectral, visible to thermal IR, microwave and laser-based methods. Although the emphasis will be on orbital data, papers are also sought on robotic imaging systems and their fusion with space-based data.

We therefore seek original research articles covering all aspects of planetary remote sensing and 3D mapping including new instruments, methods, algorithms, datasets and validation.

We look forward to receiving your submissions which will be vigorously triaged and reviewed within a much shorter turnaround time than most current journals.

Prof. Jan-Peter Muller
Dr. Bo Wu
Mr. Trent Hare
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.