Advanced Machine Learning for Time Series Remote Sensing Data Analysis

Dear Colleagues,

Remote sensing is a fundamental tool for comprehending the earth and supporting human-earth communications. In the last few years, advanced machine learning techniques for time series remote sensing data processing deal with real-life applications with great achievements. For example, there is a necessity for remote sensing and earth observation that makes possible supervising of natural resources and environments. The development of temporal resolution enables for the big data (such as enormous collection of image data) for a specific position, generating a feasibility for time series data analysis and eventual real-time estimation of scene dynamics. Three research directions are suggested: (1) techniques for generating time series image datasets, (2) extraction techniques for time series imagery, and (3) applications of time series image processing in real world natures such as land, climate, disturbance attribution, vegetation dynamics, and urbanization. This Special Issue aims to report the latest advances and trends concerning the advanced machine learning techniques to the time series remote sensing data processing issues. Papers of both theoretical and applicative nature are welcome, as well as contributions regarding new advanced machine learning technique for the remote sensing research community. Major topics of interest, by no means exclusive, are:

• Time series remote sensing data processing
• Machine learning techniques for data science and remote sensing
• Image processing techniques for big data remote sensing
• Large-scale datasets for training and testing machine learning solutions to remote sensing issues
• Time series machine learning with scarce or low-quality remote sensing data, transfer learning, cross-sensor learning

Dr. Gwanggil Jeon
Dr. Valerio Bellandi
Dr. Abdellah Chehri
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.