PROJECTS
Subsurface Mapping
Subsurface investigation using Electrical Resistivity Tomography (ERT) is a powerful geophysical technique for delineating weak layers within the subsurface, which often play a critical role in slope stability and foundation integrity. ERT works by measuring the spatial variation in electrical resistivity, which is influenced by factors such as soil composition, moisture content, porosity, and the presence of fractures or clay-rich zones. Weak layers, typically characterized by high water content, clayey material, or weathered rock, exhibit lower resistivity compared to surrounding competent strata. By generating a two-dimensional or three-dimensional resistivity model, ERT provides detailed insights into the thickness, depth, and lateral continuity of these weak zones.
Slope Instability Analysis
Slope instability analysis using drone imaging and surveying has emerged as an advanced and efficient approach for assessing landslide-prone areas. Drones equipped with high-resolution cameras and LiDAR or photogrammetry sensors capture detailed aerial imagery and generate precise Digital Elevation Models (DEMs) and 3D terrain reconstructions. These datasets enable accurate measurement of slope angles, identification of scarps, cracks, and tension zones, and monitoring of surface deformation over time. Compared to traditional ground-based surveys, drone-based methods offer rapid data acquisition, even in inaccessible or hazardous regions, ensuring improved safety and cost-effectiveness. By integrating drone-derived topographic data with GIS and geotechnical models, researchers and engineers can evaluate slope stability, detect early warning signs, and design effective mitigation strategies for preventing catastrophic failures
River Corridor Mapping
River corridor mapping using LiDAR technology provides highly accurate, high-resolution elevation data that is essential for understanding fluvial dynamics and floodplain morphology. LiDAR sensors mounted on drones or aircraft emit laser pulses to capture precise 3D point clouds of the terrain, enabling the creation of detailed Digital Elevation Models (DEMs) and Digital Surface Models (DSMs). These datasets help delineate channel boundaries, identify bank erosion zones, detect sediment deposition patterns, and map vegetation cover within the riparian zone. Unlike traditional surveying, LiDAR penetrates through vegetation canopy, offering a clear view of the underlying terrain, which is crucial in densely vegetated river corridors. This information supports hydrological modeling, flood risk assessment, habitat restoration, and river engineering projects, making LiDAR an indispensable tool for integrated river corridor management and geomorphic studies.
Biomass Mapping
LiDAR-based biomass mapping is an advanced remote sensing technique that accurately estimates vegetation structure and above-ground biomass by capturing high-resolution three-dimensional data of forest canopies and understory. LiDAR sensors emit laser pulses and measure their return times to generate detailed point clouds, allowing precise calculation of canopy height, density, and vertical foliage distribution. These structural metrics, when integrated with allometric models, enable accurate biomass estimation even in dense or heterogeneous forests where optical sensors face limitations. Unlike traditional field-based measurements, LiDAR provides large-scale, repeatable, and non-destructive assessments, making it invaluable for carbon stock estimation, forest health monitoring, and climate change studies. This technology plays a crucial role in REDD+ programs and sustainable forest management by providing reliable data for ecosystem services evaluation and greenhouse gas accounting.