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Record link: 
http://hdl.handle.net/20.500.12708/83800
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Title: 
Automated Area-Wide Tree Species Mapping Based on Sentinel-2 Imagery: Influence of Topography and Forest Structure on Classification Quality
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Citation: 
Kollert, A., Rutzinger, M., Bremer, M., Hollaus, M., Pfeifer, N., Bruggisser, M., Bauer-Marschallinger, B., Hagen, K., Schadauer, K., Gartner, K., Bauerhansl, C., & Löw, M. (2019). Automated Area-Wide Tree Species Mapping Based on Sentinel-2 Imagery: Influence of Topography and Forest Structure on Classification Quality. ESA Living Planet Symposium 2019, Milan, Italy. http://hdl.handle.net/20.500.12708/83800
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Publication Type: 
Presentation - Poster Presentation
en
Authors: 
Kollert, Andreas 
Rutzinger, Martin 
Bremer, Magnus 
Hollaus, Markus 
Pfeifer, Norbert 
Bruggisser, Moritz 
Bauer-Marschallinger, Bernhard 
Hagen, Karl 
Schadauer, Klemens 
Gartner, Karl 
Bauerhansl, Christoph 
Löw, M 
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Organisational Unit: 
E120-07 - Forschungsbereich Photogrammetrie 
E120-01-1 - Forschungsgruppe Mikrowellenfernerkundung 
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Date (published): 
2019
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Event name: 
ESA Living Planet Symposium 2019 
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Event date: 
13-May-2019 - 17-May-2019
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Event place: 
Milan, Italy
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Science Branch: 
Geodäsie, Vermessungswesen
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Appears in Collections:
Presentation

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