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  Radar vision in the mapping of forest biodiversity from space

Bae, S., Levick, S. R., Heidrich, L., Magdon, P., Leutner, B. F., Wöllauer, S., et al. (2019). Radar vision in the mapping of forest biodiversity from space. Nature Communications, 10: 4757. doi:10.1038/s41467-019-12737-x.

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http://dx.doi.org/10.1038/s41467-019-12737-x (Publisher version)
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 Creators:
Bae, Soyeon1, Author           
Levick, Shaun R.1, Author           
Heidrich, Lea, Author
Magdon, Paul, Author
Leutner, Benjamin F., Author
Wöllauer, Stephan, Author
Serebryanyk, Alla, Author
Nauss, Thomas, Author
Krzystek, Peter, Author
Gossner, Martin M., Author
Schall, Peter, Author
Heibl, Christoph, Author
Bässler, Claus, Author
Doerfler, Inken, Author
Schulze, Ernst Detlef2, Author           
Krah, Franz-Sebastian, Author
Culmsee, Heike, Author
Jung, Kirsten, Author
Heurich, Marco, Author
Fischer, Markus, Author
Seibold, Sebastian, AuthorThorn, Simon, AuthorGerlach, Tobias, AuthorHothorn, Torsten, AuthorWeisser, Wolfgang W., AuthorMüller, Jörg, Author more..
Affiliations:
1Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497752              
2Emeritus Group, Prof. E.-D. Schulze, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497756              

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 Abstract: Recent progress in remote sensing provides much-needed, large-scale spatio-temporal
information on habitat structures important for biodiversity conservation. Here we examine
the potential of a newly launched satellite-borne radar system (Sentinel-1) to map the biodiversity
of twelve taxa across five temperate forest regions in central Europe. We show that
the sensitivity of radar to habitat structure is similar to that of airborne laser scanning (ALS),
the current gold standard in the measurement of forest structure. Our models of different
facets of biodiversity reveal that radar performs as well as ALS; median R² over twelve taxa by
ALS and radar are 0.51 and 0.57 respectively for the first non-metric multidimensional scaling
axes representing assemblage composition. We further demonstrate the promising predictive
ability of radar-derived data with external validation based on the species composition of
birds and saproxylic beetles. Establishing new area-wide biodiversity monitoring by remote
sensing will require the coupling of radar data to stratified and standardized collected local species data.

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 Dates: 2019-09-182019-10-18
 Publication Status: Published online
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 Table of Contents: -
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 Identifiers: Other: BGC3143
DOI: 10.1038/s41467-019-12737-x
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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 10 Sequence Number: 4757 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723