Dear Colleagues,

The Internet of Things (IoT) is a key paradigm in Industry 4.0 scenarios. Beyond those, the potential shown by the use of IoT solutions is significant also in a plethora of different application fields. Recently, the use of IoT has been proposed also in satellite-based scenarios, giving birth to the so-called Internet of Remote Things (IoRT). Thus, the combination of remote sensing, as enabled by aerospace solutions such as satellites and unmanned aerial vehicles (UAVs) that are proving increasingly indispensable for remote sensing, and IoT sensing on the ground can provide a new and powerful tool to make services more profitable and competitive. Thus, it is essential to deepen the investigation on the potential provided by joint solutions, and by long-range solutions (such as LoRa that is consolidating as a one-way solution from ground to space). IoRT can be further enhanced by techniques like distributed and federated learning for object recognition and anomaly detection. Typical scenarios are agricultural, maritime, monitoring, and surveillance.

This Special Issue seeks to cover the state-of-the-art in IoRT solutions in different application fields. Specific topics include but are not limited to:

• Satellite solutions for remote sensing as complemented by terrestrial sensing;
• Aerial solutions, such as flying ad-hoc networks (FANETs), for remote sensing as complemented by terrestrial sensing;
• Space and ground integrated networks for sensing purposes;
• IoT and IoRT-based architectures for remote sensing;
• Agricultural, maritime, monitoring, surveillance, and other scenarios;
• Development, integration, and testing of new and emerging solutions, paradigms, and architectures for IoT and IoRT;
• Federated and distributed learning for object recognition and anomaly detection;
• Real testbeds.

Dr. Manlio Bacco
Dr. Alberto Gotta
Dr. Pietro Cassara
Guest Editors

Manuscript Submission Information

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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.

• Internet of Things
• satellite
• UAV
• system architecture
• system integration
• federated learning
• distributed learning
• object recognition
• testbed
• space information networks