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Early Recognition of Changes in the Health Status of Norway Spruce with Hyperspectral Data

Henning, Lea and Pinnel, Nicole and Immitzer, Markus and Heiden, Uta (2014) Early Recognition of Changes in the Health Status of Norway Spruce with Hyperspectral Data. In: European remote sensing - new opportunities for science and practice, p. 213. 34th EARSeL Symposium, 2012-06-16 - 2012-06-20, Warsaw, Poland. ISBN 978-83-63245-57-3.

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Abstract

Recent studies show that Norway spruce monocultures are fragile with regard to climate changes (LWF) and furthermore vulnerable to different threats like storm damages or insect infestations. Especially due to the last mentioned, early detection of changes in the health status could help minimizing economical loss. The fundamental idea which lead to Norway spruce needle re flectance spectra analysis is, that within a time period of five months after artificial weakening of trees, reflectance spectra of needles show differences, which might make it possible to distinguish between weakened and control trees. Artificial weakening through ring-barking leads to a wide time frame for change detection due to a slow die back of trees. The point of time where needles still appear green but changes in reflectance spectra indicate a decline in the health status of ring-barked trees is of special interest. During the whole period needles were sampled directly within tree crowns and reflectance spectra were measured in a spectral laboratory. Comparison of spectra between both groups was conducted with the principal component analysis, the Jeffries-Matusita Distance and different health related indices. The results show that it is not possible to distinguish between ring- barked and control trees with the applied methods after a period of five months. This thesis illustrates that trees are complex systems with regard to their water -and assimilate transportation system. Time span from ‘damage’ to ‘symptom’ is dependent on various different factors. This makes ‘early’ recognition of health problems with needle reflectance spectra difficult in forest stands.

Item URL in elib:https://elib.dlr.de/102984/
Document Type:Conference or Workshop Item (Speech)
Additional Information:LWF Projekte
Title:Early Recognition of Changes in the Health Status of Norway Spruce with Hyperspectral Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Henning, LeaDLRUNSPECIFIEDUNSPECIFIED
Pinnel, NicoleUNSPECIFIEDhttps://orcid.org/0000-0003-1978-3204UNSPECIFIED
Immitzer, MarkusBoKu WienUNSPECIFIEDUNSPECIFIED
Heiden, UtaUNSPECIFIEDhttps://orcid.org/0000-0002-3865-1912UNSPECIFIED
Date:2014
Journal or Publication Title:European remote sensing - new opportunities for science and practice
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:p. 213
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Zagajewski, BogdanUniversity of Warsaw, PolandUNSPECIFIEDUNSPECIFIED
Sabat, AnitaUniversity of Warsaw, PolandUNSPECIFIEDUNSPECIFIED
Golenia, MartynaUniversity of Warsaw, PolandUNSPECIFIEDUNSPECIFIED
Robak, AnnaUniversity of Warsaw, PolandUNSPECIFIEDUNSPECIFIED
Kusiak, AleksandraUniversity of Warsaw, PolandUNSPECIFIEDUNSPECIFIED
Marcinkowska, AdrainaUniversity of Warsaw, PolandUNSPECIFIEDUNSPECIFIED
Series Name:34th EARSel Symposium 2014
ISBN:978-83-63245-57-3
Status:Published
Keywords:health status, Norway spruce, hyperspectral data, HySpex, PCA, Jeffries-Matusita Distance, ring-barking
Event Title:34th EARSeL Symposium
Event Location:Warsaw, Poland
Event Type:international Conference
Event Start Date:16 June 2012
Event End Date:20 June 2012
Organizer:European Association of Remote Sensing Laboratories (EARSeL)
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old), R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old), R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Pinnel, Dr.rer.nat Nicole
Deposited On:07 Mar 2016 10:04
Last Modified:24 Apr 2024 20:08

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