Photogrammetry and SLAM (Simultaneous Localisation and Mapping) are two of the most advanced technologies used in the surveying and mapping of subterranean caves and other underground spaces. By utilising these techniques, we are able to create highly detailed and accurate maps of these spaces, allowing us to better understand their unique features and develop comprehensive conservation strategies.
Photogrammetry involves the use of photographs taken from multiple angles to create a 3D model of the object or space being photographed. In subterranean spaces, this technique is used to create detailed maps and surveys of caves and other underground structures. By taking a series of overlapping photographs and then using specialised software to stitch them together, we can create a highly detailed 3D model of the subterranean space.
SLAM, on the other hand, is a technique that involves the use of sensors and algorithms to create a map of an unknown environment. This technique is particularly useful in subterranean spaces, where it can be difficult to navigate and where traditional mapping techniques may not work. By using sensors such as laser scanners or sonar to measure the distance between the sensor and the surrounding objects, SLAM can create a highly accurate map of the subterranean space, even in the absence of GPS signals.
Combining photogrammetry and SLAM can create a highly accurate and detailed map of a subterranean space. By using overlapping photographs to create a 3D model and then using SLAM to create a highly accurate map of that 3D model, we can develop a comprehensive survey of the space. This allows us to identify and map features such as archaeological remains, geological formations, and underground structures. We can then use this information to develop conservation strategies that take into account the unique features and conditions of the subterranean space.