Dear Colleagues,

Every day, dozens of Earth Observation (EO) spaceborne and airborne sensors, encompassing different spectral, spatial, radiometric and temporal resolutions, provide a massive amount of remotely-sensed data. EO plays a key role in the identification, investigation and monitoring of natural phenomena, e.g., land subsidence, landslides, volcanic events or floods, as well as impacts of human activities. EO techniques become established thanks to their cost-effectiveness with respect to their high accuracy, large spatial coverage and temporal repetitiveness.

The Sentinel missions, developed within the Copernicus programme, started a process to place a constellation of at least 20 satellites in orbit before 2030 and focused on several aspects of EO, such as atmospheric, oceanic, or land monitoring, and infinite possibilities of applications for the scientific community. To date, approximatively 13 million images have been published and 200 k people have registered on the Copernicus Open Access Hub, which provides complete, free and open access to Sentinel products. So far, more than 100 k PB (Petabyte) of Sentinel data have been downloaded. The advent of Sentinel opened new opportunities for many applications, providing, on a regional scale, timely information suitable for monitoring and response for geological processes.

On the other hand, managing and computing the huge amount of data require adequate processing and storage machine. For this reason, the European Space Agency promotes different platforms (e.g., G-POD, GEP, EO browser, the DIAS platforms) for both storage and on-demand processing of satellite data, in order to create opportunities and address complex logistical challenges. Cloud-based workspaces can provide the required flexibility to manage such huge amounts of data, thus making possible analyses that were previously unfeasible, due to large data volumes and computational limitations.

The increase of the availability of the platform that implemented the cloud computing (CC) environment has encouraged companies and the scientific community operating in EO observation to take advantage of them, also due to their relative simplicity of use.

For this Special Issue, submissions are encouraged that cover a broad range of topics on the various applications of remote sensing techniques, which may include, but are not limited to, the following topics:

• innovative applications and methods in remote sensing, significant case studies, applications and models conducted using on-demand platforms;
• Remote sensing big data analysis for geohazard investigation and integration or fusion with other-source geospatial data (i.e., GNSS, in situ observation);
• novel data analytics for post-processing and applications at different geographic scales;
• multi-sensor and multi-resolution data analysis.

Dr. Matteo Del Soldato
Dr. Federico Raspini
Assoc. Prof. Constantinos Loupasakis
Prof. Roberto Tomás
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 100 words) can be sent to the Editorial Office for announcement on this website.

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.

• Earth Observation
• Remote sensing
• Geohazard investigations
• On-demand platforms
• Cloud computing platforms
• Copernicus programme
• Big data analysis