The remote sensing methods proposed in the project are based on aerial data collection. One of the first results of the project was the development of a prototype of an integrated multisensor remote sensing platform mounted onboard a single aircraft.
The platform can increase the effectiveness of aerial data collection for remote sensing purposes, thus lowering costs and data collection risks.
Airborne Laser Scanning (ALS) which produces a point cloud that provides information about such physical features of vegetation as:
- vertical structure
Hyperspectral sensors used for obtaining hyperspectral images recorded in the spectral range 400-2500 nm, which deliver information about such biophysical parameters of vegetation, such as:
- pigment content
- vegetation indices
- cell structure
- condition of vegetation
- water content
Imaging cameras used for creating orthophotomaps in RGB color model that provide current information about the use and topography of the habitats.