3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function (Record no. 43665)

MARC details
000 -LEADER
fixed length control field 02288nam a2200277Ia 4500
000 - LEADER
fixed length control field 04483naaa 00985uu
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/39900
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211222133627.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211013s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039217830
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03921-783-0
042 ## - AUTHENTICATION CODE
Authentication code dc
245 #0 - TITLE STATEMENT
Title 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (188 p.)
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest's compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest's ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term normalized difference vegetation index (NDVI)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Latifi, Hooman
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Valbuena, Ruben
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/39900">https://directory.doabooks.org/handle/20.500.12854/39900</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/1813">https://mdpi.com/books/pdfview/book/1813</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="www.oapen.org">www.oapen.org</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Book
Holdings
Withdrawn status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Library of Congress Classification   Not For Loan Directory of Open Access Books Directory of Open Access Books 12/22/2021   12/22/2021 12/22/2021 E-Book

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