Photogrammetry begins with data collection using aerial imagery, UAVs, and LiDAR scanning, ensuring high accuracy. Techniques like stereo photogrammetry and ortho-rectification help correct distortions and align images to real-world coordinates. DEMs, DTMs, and DSMs are generated to represent terrain variations accurately. Image preprocessing, including georeferencing, ensures precise spatial alignment for mapping applications.
2D and 3D cartography involve topographic mapping, terrain modeling, and GIS-based spatial analysis. Contour mapping and elevation profiling help visualize landforms, while change detection tracks environmental shifts. GIS integration enhances mapping accuracy, making data usable for various applications. These techniques support urban planning, disaster management, and land-use assessments.
Photogrammetric mapping is widely used in urban planning, agriculture, and environmental monitoring. It aids in infrastructure development, disaster response, and land-use management with high precision. The defense sector utilizes it for surveillance, while mining relies on it for terrain assessment. These applications make photogrammetry essential for accurate and efficient spatial analysis.
Modern mapping relies on LiDAR, SAR, and multi-spectral imaging for high-resolution data collection. Software like Agisoft, Pix4D, and DroneDeploy process aerial images into detailed 3D models. GIS platforms like ArcGIS and QGIS enable spatial data analysis and visualization. Integration with CAD and AI-driven automation further enhances mapping accuracy and efficiency.