Dear colleagues,

I am guest editor for the Special Issue “Advancements in Deep Learning for Remote Sensing: Exploring Planetary and Earth Observation Applications” in Remote Sensing. We invite original research articles, reviews, and case studies that apply or advance deep learning methods for challenges in both planetary science (e.g., terrain characterization, crater detection, geological feature analysis) and Earth observation (e.g., land cover change detection, agricultural monitoring, environmental and hazard assessment).

link: https://www.mdpi.com/journal/remotesensing/special_issues/FVF5OY9837

Key Details

• Submission deadline: 29 August 2025 (ongoing publication upon acceptance) mdpi.com.
• Submission portal: Register and submit via the MDPI Remote Sensing submission system; use the Special Issue page for direct access mdpi.com.

Scope Highlights

• Development or adaptation of deep learning architectures (e.g., CNNs, transformers, self-/semi-supervised approaches, domain adaptation) for remote sensing tasks.
• Integration of multi-source data (optical, radar, LiDAR, hyperspectral) and strategies for limited-label scenarios (data augmentation, synthetic data).
• Applications in planetary exploration (e.g., Mars, Moon, other bodies) and Earth observation (e.g., precision farming, urban monitoring, disaster response).
• Emphasis on interpretability, uncertainty quantification, and scalable processing pipelines (cloud/high-performance computing).

Benefits

• Enhanced visibility through a thematic collection, dedicated promotion, and potential reprint in MDPI books.
• Interdisciplinary networking among AI, planetary science, and geospatial communities.
• Opportunity to showcase methodological innovations with practical impact on remote sensing.

We look forward to your contributions. Dr. Riccardo La Grassa and Dr. Ignazio Gallo Guest Editors, Remote Sensing