3D Point Cloud Analytics & Surface Interpolation
Light Detection and Ranging (LiDAR) and UAV photogrammetry deliver high-accuracy 3D point clouds for terrain elevation modeling, digital surface generation (DEM/DSM), and structural contour extraction. My workflows complement optical remote sensing and satellite data analysis by delivering accurate 3D geometry across the point cloud lifecycle—from raw LAS/LAZ ingestion and noise filtering to ground classification and raster surface interpolation in GIS spatial data engineering.
In parallel, utilizing Structure from Motion (SfM) photogrammetry tools like Pix4D, I convert overlapping drone aerial surveys into dense point clouds, digital surface models, and seamless orthomosaics with Ground Control Point (GCP) georeferencing, ready for analysis in ArcGIS Pro and ArcPy automation.
3D Processing & Surface Modeling Competencies
Point Cloud Classification & PDAL
Automated separation of ground returns (Class 2), low/medium/high vegetation (Classes 3, 4, 5), and building structures (Class 6) using progressive TIN densification and morphological filters.
DEM, DSM & Canopy Height Models (CHM)
Interpolating ground points into bare-earth DEMs and first returns into DSMs. Computing normalized Canopy Height Models (CHM = DSM - DEM) for individual tree segmentation and forest biomass estimation.
Pix4D & Drone Photogrammetry
Processing UAV nadir and oblique imagery with GCP calibration, generating dense point clouds, 3D textured mesh models, and high-resolution digital surface products.
Volumetric & Cut-and-Fill Calculations
Comparing multi-temporal elevation rasters in Civil 3D and QGIS spatial analysis to calculate stockpile volumes, earthwork cut/fill balances, and quarry excavation metrics.
Topographical & Drainage Modeling in Ahmedabad Study
Extracted digital elevation profiles, multi-directional hillshading, slope percentages, and flow accumulation corridors to evaluate terrain constraints on urban sprawl and flood vulnerabilities.