Land Subsidence Mapping

Land subsidence refers to the gradual sinking or settling of the ground’s surface. It can be caused by a variety of factors, including groundwater pumping, soil compaction, and natural geologic processes. In urban areas, it can lead to damage to buildings and infrastructure, and can also increase the risk of flooding.

In order to address land subsidence, it may be necessary to implement management strategies such as reducing groundwater pumping, improving drainage, and stabilizing soil through the use of compaction grouting or other techniques.

Geospatial technology plays a crucial role in understanding and managing land subsidence. Our state-of-the-art tools and techniques can provide detailed mapping and analysis of subsidence-affected areas. We use satellite imagery, LiDAR, and other remote sensing data to create highly accurate Digital Terrain Models (DTM) and Land Use and Land Cover (LULC) maps.

Digital Terrain Models (DTM)

DTMs provide detailed information on the land surface, including elevation, slope, and contours. This information is crucial for identifying potential subsidence hazards and vulnerability areas. It allows us to create detailed slope maps, contour maps, and other geomorphological information that can help in identifying areas that may be at risk of subsidence.

Land Use Land Cover Maps

LULC maps, on the other hand, allow us to identify land cover types, such as urban areas, wetlands, and forests, which can help in the most accurate damage assessment. It provides information about the type of land surface, which can be useful to understand the susceptibility of a certain area to land subsidence.

Our team uses a combination of satellite imagery, LiDAR, and other remote sensing data to create highly accurate DTMs and LULC maps. These maps are then used to support decision-making in land use planning and infrastructure development. Additionally, advanced techniques such as InSAR and GPS are used to monitor land subsidence over time and track changes in ground elevation. This information is used to develop early warning systems and to support decision-making in land use planning and infrastructure development.