Processing Techniques

Image Mosaicing

Image mosaicing is the process of blending together multiple georeferenced image to generate one orthomosaiced image of the entire area the combined images represent.

RGB Image


RGB image:acquires regular image data in the visible spectrum. Applications: real colour 2D & 3D visual rendering, chlorophyll indication, drainage evaluation.

Near Infrared Image

NIR image:acquires image data in the near infrared band, the region where high plant reflectance occurs. Applications: biomass indication, growth monitoring, crop discrimination, leaf area indexing. 


The Normalized Difference Vegetation Index (NDVI) is an index of plant “greenness” or photosynthetic activity, and is one of the most commonly used vegetation indices. Vegetation indices are based on the observation that different surfaces reflect different types of light differently.

The NDVI is measured on a scale of -1 to 1 where -1 represents areas with no vegetation and 1 represents areas of dense vegetation.

Supervised Land Classification


Supervised classification clusters pixels in a dataset into classes based on user-defined training data. The training data can come from the following sources:

  • Polygons, points, or multipoints from existing vector layers or shapefiles.
  • 3D point or polygon shapefiles.
  • Polygons or points that you interactively create on a loaded image.

Digital Surface Model


A digital surface model (DSM) is a digital model or 3D representation of a terrain's surface. The DSM may be used to generate contour lines.