Sentinel-1

Sentinel-1 is a satellite-borne radar system that was recently launched and showed great potential for mapping biodiversity across large areas of temperate forests in central Europe. The study compared Sentinel-1's performance to airborne laser scanning (ALS), which is currently considered the best method for measuring forest structure.

The researchers found that Sentinel-1's sensitivity to habitat structure is comparable to that of ALS. When modeling different aspects of biodiversity for twelve taxa, Sentinel-1 performed as well as ALS, with median R² values of 0.57 and 0.51, respectively, for the first non-metric multidimensional scaling axes representing assemblage composition.

Furthermore, the study validated the predictive ability of Sentinel-1 data using external data on the species composition of birds and saproxylic beetles. The authors suggest that to establish new large-scale biodiversity monitoring using remote sensing, it will be necessary to combine Sentinel-1 data with stratified and standardized local species data collection.

Topic

Biodiversity;Mapping;Metagenomic sequencing

Detail

  • Operation: Scatter plot plotting;Standardisation and normalisation;Mapping

  • Software interface: Command-line user interface

  • Language: R

  • License: Not stated

  • Cost: Free of charge

  • Version name: v1.0

  • Credit: The Deutsche Forschungsgemeinschaft (DFG).

  • Input: -

  • Output: -

  • Contact: Soyeon Bae soyeon.grace.bae@gmail.com

  • Collection: -

  • Maturity: -

Publications

  • Radar vision in the mapping of forest biodiversity from space.
  • Bae S, et al. Radar vision in the mapping of forest biodiversity from space. Radar vision in the mapping of forest biodiversity from space. 2019; 10:4757. doi: 10.1038/s41467-019-12737-x
  • https://doi.org/10.1038/S41467-019-12737-X
  • PMID: 31628336
  • PMC: PMC6802221

Download and documentation


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