Ortorektifioidut

Ortorektifioidut is a Finnish term used to describe imagery, maps, or other geospatial datasets that have undergone orthorectification. Orthorectification is a geometric correction process that removes distortions caused by terrain relief, sensor perspective, and topographic variation, producing a dataset in which image coordinates align with true ground coordinates.

In practice, ortorektifioidut data integrate a digital elevation model (DEM), sensor metadata, and a camera or sensor model to compute a transformation. The corrected raster is resampled to a regular grid and georeferenced in a map projection, so each pixel corresponds to a precise location on the earth’s surface. This makes ortorektifioidut imagery suitable for accurate distance and area measurements and for overlay with other geospatial layers.

The quality of ortorektifioidut data depends on the accuracy of the input DEM and sensor parameters; inaccuracies in either can leave residual distortions, especially in rugged terrain. The resampling step may introduce minor smoothing or artifacts, depending on the chosen method (nearest neighbor, bilinear, cubic convolution).

Common formats for ortorektifioidut rasters include GeoTIFF and other georeferenced raster types that carry coordinate reference information. They are widely used in geographic information systems, remote sensing, urban planning, forestry, and environmental monitoring, where precise alignment with other data is required.

See also orthorectification, georeferencing, raster data, and GIS. Examples of use include land cover analysis, cadastral mapping, and disaster response mapping where accurate ground positioning is essential.