The paper introduces the Structure from Motion (SfM) method as a new and cost-effective approach for generating high-resolution topographic datasets, particularly in geomorphological studies. SfM is a purely image-based technique that does not require ground control points, making it more accessible and user-friendly compared to traditional photogrammetry. The authors demonstrate the application of SfM in a fluvial geomorphology context using a helikite platform at Pedernales Falls State Park in Texas. They compare the SfM-generated DEMs with those from LiDAR data, finding that SfM can produce DEMs of equal quality, with a point density of 10.8 points/m², which is comparable to lower-resolution Terrestrial Laser Scanning (TLS). The study highlights the potential of SfM for small-scale, fine-resolution topographic studies and its ease of use, making it a valuable tool for geomorphological research. However, the authors also note limitations, such as the need for high-textural diversity in the images and the potential for systematic distortions over large distances. Overall, the paper suggests that SfM could significantly enhance the cost-effectiveness and accessibility of topographic mapping in geomorphology.The paper introduces the Structure from Motion (SfM) method as a new and cost-effective approach for generating high-resolution topographic datasets, particularly in geomorphological studies. SfM is a purely image-based technique that does not require ground control points, making it more accessible and user-friendly compared to traditional photogrammetry. The authors demonstrate the application of SfM in a fluvial geomorphology context using a helikite platform at Pedernales Falls State Park in Texas. They compare the SfM-generated DEMs with those from LiDAR data, finding that SfM can produce DEMs of equal quality, with a point density of 10.8 points/m², which is comparable to lower-resolution Terrestrial Laser Scanning (TLS). The study highlights the potential of SfM for small-scale, fine-resolution topographic studies and its ease of use, making it a valuable tool for geomorphological research. However, the authors also note limitations, such as the need for high-textural diversity in the images and the potential for systematic distortions over large distances. Overall, the paper suggests that SfM could significantly enhance the cost-effectiveness and accessibility of topographic mapping in geomorphology.