Advances in Satellite Image Analysis and Applications for Earth Observation

Dear Colleagues,

The vibrant evolution of satellite technology has inaugurated a novel epoch in Earth Observation (EO), yielding unparalleled insights into the dynamic processes of our planet. The new array of EO satellite missions, coupled with advancing spectral, spatial, and temporal resolutions and accuracies in satellite imagery, enables the extensive analysis and monitoring of complex ecosystems, climatic dynamics, and human activities. In parallel, Geospatial Artificial Intelligence (GeoAI) techniques are gaining momentum by increasing the analysis automation of extensive EO datasets by boosting the identification of patterns, anomalies, and trends on a global scale.

This Special Issue delves into the latest EO satellite image analysis advancements and explores their manifold applications across various scientific disciplines. From monitoring environmental changes and assessing natural disasters to informing urban planning and agricultural practices, the contributions within this collection will showcase cutting-edge methodologies and innovative approaches that harness the power of satellite EO data for a better understanding of Earth’s complex systems. This Special Issue emphasizes the transformative potential of machines and deep learning in enhancing the accuracy and efficiency of EO data management and image analysis.  

We welcome the submission of original research articles and reviews that focus on, but are not restricted to, the following themes:

• Advanced techniques for satellite-based urban environment monitoring;
• Satellite EO data application for ecosystem and biodiversity conservation;
• Satellite EO application to climate pattern analysis;
• Novel approaches for disaster management using EO satellite imagery;
• Satellite EO application in smart farming and smart cities;
• Satellite-based analysis of human activities and their impact on the environment;
• Satellite imaging sensors’ data fusion;
• Machine and deep learning techniques for satellite imagery content retrieval;
• Evaluations of cutting-edge EO software and platforms;
• Big satellite EO data analytics.

Overall, satellite technology continues to advance, and this Special Issue aims to serve as a comprehensive reference on state-of-the-art techniques, tools, and applications propelling the field of EO satellite imagery into the future.

Dr. Daniele Oxoli
Dr. Maria Alicandro
Dr. Maryam Lotfian
Dr. Peng Peng
Prof. Dr. Maria Antonia Brovelli
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.

• image analysis
• environmental monitoring
• image-based change detection
• urban planning
• earth observation
• GeoAI
• multi-scale and multi-sensor
• earth observation analytics