Semiautomatic prediction of main tree species using multi-temporal ADS40 data
dc.contributor.author
Waser, Lars T.
dc.contributor.author
Ginzler, Christian
dc.contributor.author
Küchler, Meinrad
dc.contributor.author
Lanz, A.
dc.contributor.author
Baltsavias, Emmanuel
dc.date.accessioned
2022-09-01T08:38:00Z
dc.date.available
2017-06-08T22:01:35Z
dc.date.available
2022-09-01T08:38:00Z
dc.date.issued
2009-05-09
dc.identifier.uri
http://hdl.handle.net/20.500.11850/16133
dc.language.iso
en
en_US
dc.publisher
International Union of Forest Research Organizations Division 4
en_US
dc.title
Semiautomatic prediction of main tree species using multi-temporal ADS40 data
en_US
dc.type
Conference Paper
ethz.book.title
IUFRO Division 4 Conference
en_US
ethz.size
6 p.
en_US
ethz.event
IUFRO Division 4 Symposium on Extending Forest Inventory and Monitoring Over Space and Time
en_US
ethz.event.location
Quebec City, Canada
en_US
ethz.event.date
May 19-22, 2009
en_US
ethz.publication.place
s.l.
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-08T22:01:59Z
ethz.source
ECIT
ethz.identifier.importid
imp59364c5f8b31150255
ethz.ecitpid
pub:27982
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T18:06:40Z
ethz.rosetta.lastUpdated
2023-02-07T05:55:30Z
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true
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Conference Paper [34960]