Remote-sensing data to estimate biodiversity
Ecosystems depend on native biodiversity that strengthens their function, productivity and resilience. Remote sensing is an effective instrument that allows for the estimation of biodiversity from local to global levels, since it can provide reliable spatial and temporal measurements. It is currently being explored as a potential means of assessing biodiversity properties and models in natural and managed ecosystems. However, while most studies have used multiespectral satellites and species richness has been the most common biodiversity metric used, few have used image spectroscopy data. The EU-funded BioScal project will estimate biodiversity based on functional diversity monitoring of different forest communities across Europe. The project will take advantage of each sensor's capabilities to extend the analysis in both space and time.
Fields of science
- engineering and technologyenvironmental engineeringremote sensing
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- natural sciencesphysical sciencesopticsspectroscopy