elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Development of a Spectral, Structural and Site Specific Feature Data Base for Mapping of Tree Species in the Bavarian Forest National Park

Sommer, Carolin und Holzwarth, Stefanie und Heiden, Uta und Müller, Jörg und Heurich, Marco (2015) Development of a Spectral, Structural and Site Specific Feature Data Base for Mapping of Tree Species in the Bavarian Forest National Park. 9th EARSeL SIG-Imaging Spectroscopy, 2015-04-14 - 2015-04-16, Luxembourg.

[img] PDF - Nur DLR-intern zugänglich
3MB

Kurzfassung

The Bavarian Forest National Park, established in 1970, is a unique area of forests with large non-intervention zones, which promote a large scale rewilding process with low human interference. Thus, there is a high interest of the National Park authority to investigate the structure and dynamics of the forest ecosystems within the park. However, conventional forest inventories are time-consuming and not able to fully record the heterogeneity of natural forests. Our goal is to develop advanced techniques for species mapping based on hyperspectral remote sensing in combination with other remote sensing and in-situ measurements that meet the demands of the National Park and emphasize the ecological value of a forest. These advanced techniques need to be adapted to the heterogeneous appearance of the forest comprising larger standing and lying deadwoods as well as lack of larger pure species stands. Previous studies showed that the combination of hyperspectral and LiDAR data can be very effective and accurate for tree species classification. However, the quality of classification is limited by different factors, e.g. high intraspecies spectral variability and interspecies spectral similarity. Objective of this study is to develop a feature data base for improved tree species mapping using image based spectral information, LiDAR based structural information as well as botanical information. This work aims at building a model transferable to an area wide mapping of tree species based on the needs of the Bavarian Forest National Park. It reveals the requirements for tree species mapping and shows which spectral/spatial features and data combinations generate the best results within a Random Forest modelling approach.

elib-URL des Eintrags:https://elib.dlr.de/97907/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Development of a Spectral, Structural and Site Specific Feature Data Base for Mapping of Tree Species in the Bavarian Forest National Park
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Sommer, CarolinLudwig-Maximilians-Universität MünchenNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Holzwarth, Stefaniestefanie.holzwarth (at) dlr.dehttps://orcid.org/0000-0001-7364-7006NICHT SPEZIFIZIERT
Heiden, Utauta.heiden (at) dlr.dehttps://orcid.org/0000-0002-3865-1912NICHT SPEZIFIZIERT
Müller, JörgBavarian Forest National Park, Department of ResearchNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Heurich, MarcoBavarian Forest National Park, Department of ResearchNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2015
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Hyperspectral, LiDAR, tree species classification, vegetation index, feature database
Veranstaltungstitel:9th EARSeL SIG-Imaging Spectroscopy
Veranstaltungsort:Luxembourg
Veranstaltungsart:Workshop
Veranstaltungsbeginn:14 April 2015
Veranstaltungsende:16 April 2015
Veranstalter :EARSeL
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Fernerkundung der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Holzwarth, Stefanie
Hinterlegt am:14 Sep 2015 11:12
Letzte Änderung:24 Apr 2024 20:03

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.