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Editorial for the Special Issue "Remote Sensing-assisted forest inventory"

Latifi, Hooman and Koch, Barbara (2017) Editorial for the Special Issue "Remote Sensing-assisted forest inventory". Photogrammetrie, Fernerkundung, Geoinformation, 85 (4), pp. 211-212. E. Schweizerbartsche Verlagsbuchhandlung. doi: 10.1007/s41064-017-0036-x. ISSN 1432-8364.

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Official URL: https://link.springer.com/article/10.1007/s41064-017-0036-x


Global forest ecosystems provide multiple merchantable and non-merchantable ecosystem services, and are highly required to be monitored and protected. One major ecosystem service is theminimization and mitigation of the negative effects of climate change. Depending on various spatial scales, different planning actions are required for forest management, which all entail one prerequisite in common: up-to-date quantitative information provided by regular forest monitoring and inventory. Descriptive and spatially explicit statistics on forest inventory variables over tree, sample plot and finally landscape levels are essential requirements for every sound planning and management strategy. With almost no exception, examples of such information can be summarized into three categories of composition (arrangement and presence/absence of species), function (processes and their dynamics) and structure (spatiotemporal distribution and allometric attributes of tree). Whereas the conventional field-based approaches based on permanent sample plots are constrained by their required time, costs and logistics, remote sensing data methods can complement and advance inventories for both science and practice, due to the potentials for accurate, repeatable and objective forest inventory and analysis....

Item URL in elib:https://elib.dlr.de/116760/
Document Type:Article
Title:Editorial for the Special Issue "Remote Sensing-assisted forest inventory"
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Latifi, Hoomanhooman.latifi (at) uni-wuerzburg.deUNSPECIFIED
Koch, Barbarabarbara.koch (at) felis.uni-freiburg.deUNSPECIFIED
Date:November 2017
Journal or Publication Title:Photogrammetrie, Fernerkundung, Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1007/s41064-017-0036-x
Page Range:pp. 211-212
Publisher:E. Schweizerbartsche Verlagsbuchhandlung
Keywords:Remote sensing, Forest inventory, bioenergy, global monitoring
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:11 Dec 2017 09:21
Last Modified:06 Sep 2019 15:29

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