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Radar vision in the mapping of forest biodiversity from space.
Bae, Soyeon; Levick, Shaun R; Heidrich, Lea; Magdon, Paul; Leutner, Benjamin F; Wöllauer, Stephan; Serebryanyk, Alla; Nauss, Thomas; Krzystek, Peter; Gossner, Martin M; Schall, Peter; Heibl, Christoph; Bässler, Claus; Doerfler, Inken; Schulze, Ernst-Detlef; Krah, Franz-Sebastian; Culmsee, Heike; Jung, Kirsten; Heurich, Marco; Fischer, Markus; Seibold, Sebastian; Thorn, Simon; Gerlach, Tobias; Hothorn, Torsten; Weisser, Wolfgang W; Müller, Jörg.
Afiliación
  • Bae S; Department of Animal Ecology and Tropical Biology, University of Würzburg, 97074, Würzburg, Germany. soyeon.grace.bae@gmail.com.
  • Levick SR; CSIRO Land and Water, PMB 44, Winnellie, 0822 NT, Australia.
  • Heidrich L; College of Engineering, IT, and Environment, Charles Darwin University, Winnellie, 0909 NT, Australia.
  • Magdon P; Department of Animal Ecology and Tropical Biology, University of Würzburg, 97074, Würzburg, Germany.
  • Leutner BF; Forest Inventory and Remote Sensing, Faculty of Forest Sciences and Forest Ecology, University of Göttingen, Büsgenweg 5, 37077, Göttingen, Germany.
  • Wöllauer S; German Remote Sensing Data Center (DFD), Earth Observation Center (EOC), German Aerospace Center (DLR), 82234, Weßling, Germany.
  • Serebryanyk A; Faculty of Geography, Philipps-University Marburg, Deutschhausstr. 10, 35037, Marburg, Germany.
  • Nauss T; Department of Geoinformatics, Munich University of Applied Sciences, 80335, München, Germany.
  • Krzystek P; Faculty of Geography, Philipps-University Marburg, Deutschhausstr. 10, 35037, Marburg, Germany.
  • Gossner MM; Department of Geoinformatics, Munich University of Applied Sciences, 80335, München, Germany.
  • Schall P; Forest Entomology, Swiss Federal Research Institute WSL, Zürcherstrasse 111, CH-8903, Birmensdorf, Switzerland.
  • Heibl C; Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Büsgenweg 1, 37077, Göttingen, Germany.
  • Bässler C; Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany.
  • Doerfler I; Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany.
  • Schulze ED; Terrestrial Ecology Research Group, Department of Ecology and Ecosystem Management, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany.
  • Krah FS; Terrestrial Ecology Research Group, Department of Ecology and Ecosystem Management, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany.
  • Culmsee H; Institute of Biology and Environmental science, Vegetation science & Nature conservation, University of Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany.
  • Jung K; Max Planck Institute for Biogeochemistry, Box 100164, 07701, Jena, Germany.
  • Heurich M; Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany.
  • Fischer M; Plant Biodiversity Research Group, Department of Ecology & Ecosystem Management, Technical University of Munich, Emil-Ramann Strasse 2, 85354, Freising, Germany.
  • Seibold S; DBU Natural Heritage, German Federal Foundation for the Environment, An der Bornau 2, 49090, Osnabrück, Germany.
  • Thorn S; Evolutionary Ecology and Conservation Genomics, University Ulm, Albert-Einstein-Allee 11, 89069, Ulm, Germany.
  • Gerlach T; Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany.
  • Hothorn T; Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, 79085, Freiburg im Breisgau, Germany.
  • Weisser WW; Institute of Plant Sciences, University of Bern, 3012, Bern, Switzerland.
  • Müller J; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), 60325, Frankfurt am Main, Germany.
Nat Commun ; 10(1): 4757, 2019 10 18.
Article en En | MEDLINE | ID: mdl-31628336
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radar / Árboles / Bosques / Biodiversidad / Tecnología de Sensores Remotos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radar / Árboles / Bosques / Biodiversidad / Tecnología de Sensores Remotos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido