Lidaripilte

Lidaripilte is a term used in Estonian-language geospatial literature to refer to imagery produced from LiDAR data. It describes images and image-like representations derived from three-dimensional LiDAR point clouds, typically by projecting or interpolating the data into two-dimensional rasters or into shaded visualizations.

Lidaripilte encompass multiple product types, including digital elevation models (DEMs), digital terrain models (DTMs), digital surface models (DSMs), and canopy height models (CHMs). They also include intensity images based on the returned laser signal strength and colorized or classified rasters that highlight terrain, vegetation, buildings, and other features. These products can be used individually or combined to interpret surface geometry and land cover.

Acquisition and processing methods: LiDAR systems emit laser pulses from aircraft, vehicles, or ground platforms; returns provide three-dimensional coordinates and often an intensity value. After noise filtering and classification (ground versus non-ground), the point cloud is interpolated or rasterized to produce lidaripilte such as DEMs, DSMS, or CHMs. These images may be generated in various coordinate systems and stored in standard formats compatible with GIS and remote sensing software. Common processing steps include georeferencing, ground filtering, interpolation, and visualization.

Applications: lidaripilte are used in topographic mapping, urban planning, forestry management, flood and hazard modeling, archaeology, and infrastructure monitoring. They support accurate surface representation where optical imagery alone may be insufficient, especially in vegetation-covered or rugged terrain.

Limitations: image quality depends on sensor density, scan angle, and vegetation; occlusions can hide underlying terrain; large datasets require substantial storage and processing power; and proper calibration and classification are essential for reliable results.

See also: LiDAR, point cloud, raster, photogrammetry.