Remote sensing

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.

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The platform can increase the effectiveness of aerial data collection for remote sensing purposes, thus lowering costs and data collection risks.

We use:

Airborne Laser Scanning (ALS) which produces a point cloud that provides information about such physical features of vegetation as:

lidar

  • height
  • vertical structure

density

 

 

 

 

 

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:

krzywe

  • 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.

BPN_33 x100_HabitARS_orto

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Projekt "Innowacyjne podej┼Ťcie wspieraj─ůce monitoring niele┼Ťnych siedlisk przyrodniczych Natura z wykorzystaniem metod teledetekcyjnych", wsp├│┼éfinansowany ze ┼Ťrodk├│w Narodowego Centrum Bada┼ä i Rozwoju, w ramach programu "┼Ürodowisko naturalne, rolnictwo i le┼Ťnictwo" BIOSTRATEG/Konkurs II.