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Method analysis for collecting and processing hyperspectral needle reflectance data for monitoring spruce vitality

Einzmann, Kathrin and Ng, Wai Tim and Immitzer, Markus and Henning, Lea and Bachmann, Martin and Atzberger, Clement (2014) Method analysis for collecting and processing hyperspectral needle reflectance data for monitoring spruce vitality. In: European remote sensing - new opportunity for science and practice. 34th EARSeL Symposium 2014, 16-20. June 2014, Warsaw, Poland.

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Abstract

Bark beetle infestations cause severe damage to forestry. In the context of climate change, inducing substantially warmer and possibly drier summers, this threat is expected to increase. Remote sensing has the capacity to detect large scale changes based on quantitative observations of spectral changes. State of the art very high spatial resolution satellite data offer a great potential for assessing tree vitality. However, a better understanding of the correlation between vitality decrease and its impact on the spectral behaviour of needles is needed. For improving the interpretation of remote sensing data detailed analyses of needles are therefore necessary. Despite, it is still unclear which method for needle spectra collection is most suitable. The scope of this study is to investigate two methods for spectral reflectance measurements of Norway spruce needles (Picea abies, L.). The spectra were retrieved by using portable spectroradiometers applying both a classical fore optics and a (so-called) contact probe. Ne edle samples were acquired in summer and fall 2013 in Bavaria (Germany) from two forest stands. Tree limbers collected the branches from the top of the crowns. For our study, needles of the four last age groups, from 2010 to 2013, were measured. The measurements were performed in-situ as well as in a laboratory and repeated three times during the growing season. We discuss methods for sample storage, preparation and the influence of sample freshness on the reflectance behaviour. Furthermore, we evaluate the spectral data collection in-situ and in a laboratory environment with different measurement settings and in terms of its practicality. After preprocessing (removal of artificial spikes in the data, outlier detection and smoothing) the data were analyzed statistically using different similarity measure techniques. This research serves as a preliminary study for field campaigns scheduled in 2014 to monitor tree vitality. Our results will be implemented to improve monitoring of tree damage with very high resolution WorldView-2 data as well as airborne HySpex data.

Item URL in elib:https://elib.dlr.de/103111/
Document Type:Conference or Workshop Item (Poster)
Additional Information:LWF Projekte
Title:Method analysis for collecting and processing hyperspectral needle reflectance data for monitoring spruce vitality
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Einzmann, KathrinBoKu WienUNSPECIFIED
Ng, Wai TimBoKu WienUNSPECIFIED
Immitzer, MarkusBoKu WienUNSPECIFIED
Henning, LeaDLRUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Atzberger, ClementBoKu WienUNSPECIFIED
Date:2014
Journal or Publication Title:European remote sensing - new opportunity for science and practice
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:needle spectra, in-situ measurements, Norway spruce, tree vitality, spectroradiometer
Event Title:34th EARSeL Symposium 2014
Event Location:Warsaw, Poland
Event Type:international Conference
Event Dates:16-20. June 2014
Organizer:University of Warsaw, Faculty of Geography and Regional Studies, Poland
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old), R - Vorhaben hochauflösende Fernerkundungsverfahren, 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:08 Mar 2016 10:53
Last Modified:10 May 2016 23:45

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