Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?-Reference-Cited by-同舟云学术

Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?

Published:2017-03-24 Issue:5 Volume:90 Page:613-631
ISSN:0015-752X
Container-title:Forestry: An International Journal of Forest Research
language:en
Short-container-title:

Author:

Fassnacht Fabian Ewald¹,Mangold Daniel¹,Schäfer Jannika¹,Immitzer Markus²^ORCID,Kattenborn Teja¹,Koch Barbara³,Latifi Hooman⁴

Affiliation:

1. Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Reinhard-Baumeister-Platz 1, Karlsruhe 76131, Germany

2. Institute of Surveying, Remote Sensing and Land Information (IVFL), University of Natural Resources and Life Sciences, Vienna (BOKU), Peter-Jordan-Strasse 82, Vienna 1190, Austria

3. Remote Sensing and Landscape Information Systems, University of Freiburg, Tennenbacherstrasse 4, Freiburg 79085, Germany

4. Department of Remote Sensing in Cooperation with German Aerospace Center, University of Wuerzburg, Oswald-Kuelpe-Weg 86, Wuerzburg 97074, Germany

Funder

German National Space Agency DLR

German Federal Ministry of Economy and Technology

Publisher

Oxford University Press (OUP)

Subject

Forestry

Link

http://academic.oup.com/forestry/article-pdf/90/5/613/20895075/cpx014.pdf

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