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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 und Ochs, Tobias und Andresen, Thorsten und 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, Seiten 313-324. Springer Berlin / Heidelberg. DOI: 10.1007/s10342-009-0331-1. ISSN 1612-4669.

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

Kurzfassung

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.

Dokumentart:Zeitschriftenbeitrag
Titel:Object-orientated image analysis for the semi-automatic detection of dead trees following a spruce bark beetle (Ips typographus) outbreak
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Heurich, MarcoNationalparkverwaltung Bayerischer Wald
Ochs, TobiasTUM
Andresen, ThorstenThorsten.Andresen@dlr.de
Schneider, ThomasTUM
Datum:10 Dezember 2009
Erschienen in:Europan Journal of Forest Research
Referierte Publikation:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI :10.1007/s10342-009-0331-1
Seitenbereich:Seiten 313-324
Verlag:Springer Berlin / Heidelberg
ISSN:1612-4669
Status:veröffentlicht
Stichwörter:Remote sensing - Forest inventory - Image analysis - Dead trees - Aerial photography
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Prozesse der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum
Hinterlegt von: Dr.rer.nat. Thorsten Andresen
Hinterlegt am:21 Feb 2010 18:45
Letzte Änderung:10 Apr 2013 11:23

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