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Towards automated forest-type mapping - a service within GSE Forest Monitoring based on SPOT-5 and IKONOS data

Eisfelder, Christina and Kraus, Tanja and Bock, Michael and Werner, Maximilian and Buchroithner, Manfred F. and Strunz, Günter (2009) Towards automated forest-type mapping - a service within GSE Forest Monitoring based on SPOT-5 and IKONOS data. International Journal of Remote Sensing (Volume 30, Issue 19), pp. 5015-5038. Taylor & Francis. DOI: 10.1080/01431160903022886.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1080/01431160903022886

Abstract

Object-based semi-automated segmentation and classification approaches have gained importance in the analysis of remote sensing data over the last few years. Particularly when it comes to operational processing of multi-seasonal input data, independent and robust algorithms are needed. At the German Aerospace Center (DLR) a new method for forest type classification has been developed, covering all processing steps for object-based classification. An automatic adaptation of scenespecific feature values for the classification is implemented, based on automated extraction of feasible ground data. Therefore, no manual sampling of training data is necessary. For classification of mixed forests on the basis of IKONOS data, a special algorithm was developed that can be adapted to any kind of mixed forest definition. Forest age classes are derived based on a digital surface model. The developed method can be used for area-wide forest-type classification on the basis of high and very high-resolution satellite data.

Document Type:Article
Title:Towards automated forest-type mapping - a service within GSE Forest Monitoring based on SPOT-5 and IKONOS data
Authors:
AuthorsInstitution or Email of Authors
Eisfelder, Christinachristina.eisfelder@dlr.de
Kraus, Tanjatanja.kraus@dlr.de
Bock, Michaelmichael.bock@dlr.de
Werner, Maximilianmaxxwerner@googlemail.com
Buchroithner, Manfred F.manfred.buchroithner@tu-dresden.de
Strunz, Güntergünter.strunz@dlr.de
Date:1 October 2009
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1080/01431160903022886
Page Range:pp. 5015-5038
Publisher:Taylor & Francis
Status:Published
Keywords:Forest type mapping, object-based analysis, forest age classes, GMES, GSE Forest Monitoring
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 > Environment and Security
Deposited By: Christina Eisfelder
Deposited On:16 Nov 2009 10:17
Last Modified:07 Feb 2013 20:25

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