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BIOSENS - Sensing biodiversity change and its drivers


The newest sensor technology mounded on drones (Unmanned Aerial System, UAS) provide novel opportunities for assessing how biodiversity and its drivers change at ultra-high spectral (wavelengths in nanometres), structural (dense 3D point clouds), spatial (millimeter to meters), and temporal (days to years) resolution. In particular, combining measurements of highly differentiated spectrometric signals and detecting the range of emitted laser light pulses, show great potential for simultaneously assessing the functional, structural, and taxonomic components of biodiversity, as well as its environmental drivers (e.g. hydrology, topography, nutrient status). BIOSENS is one of the first projects world-wide that combines the newest hyperspectral and LiDAR sensor technology for UAS with a detailed assessment of temporal and spatial changes in local diversity and ecological parameters. Specifically, repeated drone-flights will be conducted across a controlled grassland experiment (in Bern, Switzerland), with controlled levels of plant diversity, as well as a natural grassland with substantial variation in plant diversity, vegetation structure, function, and ecological factors (Rewilding area, Mols, Denmark). Simultaneously, highly detailed and spatially explicit information on plant diversity, structure, and traits (e.g., biomass, biophysical, biochemical, and morphological traits, as well as physiological stress and plant health) will be measured with traditional ecological methods and hand-held hyper spectral sensors.

This project contributes to themes 1 and 3

Bjarke Madsen

Ph.d.-studerende Institut for Bioscience - Økoinformatik og biodiversitet

Signe Normand

Lektor Institut for Bioscience - Økoinformatik og biodiversitet

Urs Treier

AC-TAP Institut for Bioscience - Økoinformatik og biodiversitet