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Object-orientated image analysis for the semi-automatic detection of dead trees following a spruce bark beetle (Ips typographus) outbreak

Heurich, Marco and Ochs, Tobias and Andresen, Thorsten and Schneider, Thomas (2009) Object-orientated image analysis for the semi-automatic detection of dead trees following a spruce bark beetle (Ips typographus) outbreak. Europan Journal of Forest Research, pp. 313-324. Springer. DOI: 10.1007/s10342-009-0331-1 ISSN 1612-4669

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Official URL: http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s10342-009-0331-1

Abstract

The survey and continuing inventory in the Bavarian Forest National Park of deadwood areas resulting from a spruce bark beetle calamity are being performed by means of visual evaluation of colour infrared aerial photographs. With the aid of the object-oriented image analysis software eCognition, it was possible to develop a partially automated method for this purpose. In order to verify the classification results, a test area was classified, and the results compared with those obtained by the previously used method. In addition, the classification results from two consecutive years were compared, and accuracy assessment methods were used to scrutinize the results. Classification in the deadwood areas yielded a total classification accuracy of 91.5%. In regard to objectivity and degree of detail, the newly developed method is significantly superior to the former method, which is based on visual interpretation with a stereo workstation. One problem, however, was the insufficient spatial accuracy of the respective orthophotos. Because of this, it was not possible to detect changes over the course of specified time intervals. Therefore, a practical application of this method would require that the orthophotos from various dates or times be precisely spatially assigned. This requirement can be achieved with the production of new orthophotos.

Item URL in elib:https://elib.dlr.de/61707/
Document Type:Article
Title:Object-orientated image analysis for the semi-automatic detection of dead trees following a spruce bark beetle (Ips typographus) outbreak
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Heurich, MarcoNationalparkverwaltung Bayerischer WaldUNSPECIFIED
Ochs, TobiasTUMUNSPECIFIED
Andresen, ThorstenThorsten.Andresen (at) dlr.deUNSPECIFIED
Schneider, ThomasTUMUNSPECIFIED
Date:10 December 2009
Journal or Publication Title:Europan Journal of Forest Research
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s10342-009-0331-1
Page Range:pp. 313-324
Publisher:Springer
ISSN:1612-4669
Status:Published
Keywords:Remote sensing - Forest inventory - Image analysis - Dead trees - Aerial photography
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Prozesse der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Andresen, Dr.rer.nat. Thorsten
Deposited On:21 Feb 2010 18:45
Last Modified:06 Sep 2019 15:25

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