Advances in Change Detection and Analysis Using Multi-Source Remote Sensing Data

Dear Colleagues,

The editorial board of Remote Sensing has the pleasure to invite you to contribute to this Special Issue entitled “Advances in Change Detection and Analysis using Multi-Source Remote Sensing Data”.

The Earth’s surface certainly has an inherent dynamic and evolving nature. Although it has been modifying its morphology since it was early formed, anthropic contribution has incredibly boosted and diversified the variety of these changes. In particular, many indicators have already diagnosed how global-scale climate change will severely alter the surface of our planet. To track and minimize the foreseen consequences of these alterations, it is vital to push forward and develop advanced methodologies and techniques for change detection analysis through the exploitation of the extensive amount of Earth observation remote sensing data. Myriads of diverse technological solutions are currently observing every corner of the surface of the Earth with different perspectives and scales, both in the temporal and the spatial domains. Each of these sensors has access to very specific aspects and characteristics of the surface components, and therefore, they are able to track the dynamic components in distinctive ways. The simultaneous consideration of multiple complementary data is mandatory to obtain a feasible representation of the real nature of the dynamical changes on the surface.

Therefore, the objective of this Special Issue in the journal Remote Sensing is to create a follow-up analysis and an update of the state-of-the-art methodologies for multi-source data analysis and integration for combined change detection estimation. In this Special Issue, we expect to cover the latest methodological advances in this context and ultimately promote innovative approaches, such as advanced machine learning techniques, specifically designed for the analysis of change detection.

Dr. Fernando Vicente-Guijalba
Guest Editor

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.