Quantifying Understory Complexity in Unmanaged Forests Using TLS and Identifying Some of Its Major Drivers

User: Guest

Title:: Quantifying Understory Complexity in Unmanaged Forests Using TLS and Identifying Some of Its Major Drivers
Document type:: Zeitschriftenaufsatz
Author(s):: Seidel, Dominik; Annighöfer, Peter; Ammer, Christian; Ehbrecht, Martin; Willim, Katharina; Bannister, Jan; Soto, Daniel P.
Journal title:: Remote Sensing
Year:: 2021
Journal volume:: 13
Journal issue:: 8
Pages contribution:: 1513
Fulltext / DOI:: doi:10.3390/rs13081513
Publisher:: MDPI AG
E-ISSN:: 2072-4292
Date of publication:: 14.04.2021
BibTeX

Occurrences: