Remote Sensing Data Fusion as a Strategy to Add Value to Earth Observation Data

Dear Colleagues,

The continuous improvements of remote sensors in applications like monitoring and management of the environment, precision agriculture, and security and defenses, involve having large volumes of data that need to be processed to allow the extraction of useful and valuable information. Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. For the particular case of image fusion, multiple images from single or multiple imaging modalities are merged to improve the imaging quality, preserving or enhancing the specific features and eliminating redundant information. In order to improve the value of remotely sensed images, in addition to fuse different modalities, they can be also merged with different types of earth observation data. The aim of this Special Issue is to highlight the latest advances and trends in remote sensing data fusion strategies, images, and any other types of data that can add value to raw Earth observation data.

This Special Issue welcomes articles dedicated to all aspects of multi-sensor (e.g., multi-, hyper-spectral, SAR ...) and temporal remote sensing data fusion, as well as the fusion of remotely sensed images with other kinds of data. Articles may focus on, but are not limited to, novel image fusion algorithms, based on transform domain, machine learning, and other theoretical approaches. Their applications in urban areas, environment, agriculture, and natural resources management in a climate change scenario are also of interest.

Dr. Consuelo Gonzalo-Martín
Dr. Mario Lillo-Saavedra
Dr. Angel M. Garcia-Pedrero
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.