This Special Issue reveals advances in remote sensing applications for geomorphology, highlighting modelling and landform feature extraction.
Geomorphology plays a pivotal role in Earth sciences by unravelling the dynamic interplay among landforms, natural processes and anthropogenic influences. With the development of Earth observation techniques, remote sensing has revolutionised geomorphology by enabling large‐scale, high‐resolution analysis of Earth surface processes and landforms. These help to achieve more accurate, scalable and process‐oriented geomorphological interpretations of surface morphology, spatial patterns, and evolution processes across a range of spatial and temporal scales. This Special Issue of ‘Remote Sensing Applications in Geomorphology’ highlights the applications of remote sensing in geomorphological research. The contributions of this Special Issue can be summarised into four aspects according to their methodological innovations and insights. They are modelling and representation of landform morphology, extraction and mapping of geomorphic features, exploration and revelation of landform processes, and those particularly empowered by AI. Each aspect effectively demonstrates the application of remote sensing data and methodologies in geomorphological research. Moreover, potential perspectives for the remote sensing application in geomorphological research are discussed from the above four aspects to achieve a better understanding of future development.
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Xiong et al. (2025) studied this question.
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