The field of geomorphology is undergoing a transformative phase with the advent of novel remote sensing technologies and geophysical survey tools that are unveiling shallow, buried geomorphological features previously obscured by vegetation, sediment, and deposits. These advancements are further bolstered by enhanced interpretation schemes, numerical modeling, signal processing, and machine learning, which collectively offer unprecedented opportunities for modern geomorphological research. Despite these technological strides, there remains a pressing need to consolidate the technical foundations, interpretive approaches, and case studies to provide researchers with comprehensive insights. Such integration is crucial for facilitating more productive research and understanding in this burgeoning area. While recent studies have demonstrated the potential of these technologies in uncovering hidden geological features, there is a gap in the literature regarding a systematic summary of these advancements and their practical applications, which this research topic aims to address.

This research topic aims to enhance the understanding of hidden geological features and accelerate the application of interpretation techniques within the academic community. By highlighting recent advances in remote sensing techniques for studying shallow subsurface features, the research will present case studies that demonstrate the successful implementation of these innovative techniques. The objective is to fuse traditional geological knowledge with advanced technological methodologies, fostering a multidisciplinary perspective that will drive geoscience advances. This endeavor will not only unlock the mysteries of Earth's geological processes but also provide pivotal insights into present and future environmental challenges, thereby contributing to a deeper understanding of Earth's ecological and geological evolution.

To gather further insights into the detection and interpretation of shallow embedded geomorphological features, we welcome articles addressing, but not limited to, the following themes:
- Novel remote sensing techniques for detecting and characterizing shallowly buried geomorphological features.
- Advances in geophysical methods, such as ground-penetrating radar and electrical resistivity tomography, to reveal subsurface formations.
- Integration schemes that utilize data from satellite imagery, lidar, and geospatial datasets for comprehensive terrain analysis.
- Interdisciplinary studies combining remote sensing, geology, archaeology, and related disciplines.
- Methodological advances in data processing, visualization, interpretation and especially application of recent AI approach to improve accuracy in identifying paleotopography,.
- Case studies showcasing the application of established techniques to major hidden geomorphic sites.
- Near-subsurface studies of planetary bodies.

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Integrating Remote Sensing and Geophysics for Enhanced Shallow Subsurface Geomorphological Analysis