elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Spectral Discrimination of Submerged Macrophytes in Lakes Using Hyperspectral Remote Sensing Data

Pinnel, Nicole and Heege, Thomas and Zimmermann, Stefan (2005) Spectral Discrimination of Submerged Macrophytes in Lakes Using Hyperspectral Remote Sensing Data. In: Ocean Optics XVII, CD-ROM (189), pp. 1-16. Ocean Optics XVII, 2004-10-25 - 2004-10-29, Frementale, Australien.

Full text not available from this repository.

Abstract

Submerged macrophytes give important information about a lake´s trophic state and its ecosystem. Aquatic macrophytes can therefore serve as useful indicators of water pollution along the littoral zones. The spectral signatures of various macrophyte species were investigated to determine whether species could be discriminated by remote sensing. The spectral reflectance of macrophytes collected from several habitats at different lakes in South Germany were measured in the field with the RAMSES hyperspectral radiometer. Spectral variations of sunangle effects and seasonal changes were also investigated to determine the intraspecific variability. The collected specific reflectance spectra were used as basis for developing algorithms and applied to airborne hyperspectral remote sensing data from HyMap, acquired during the HyEurope flight campaign in July 2003 and June 2004. The imagery were corrected for atmospheric, air-water interface and water body effects using the physical based Modular Inversion Program (MIP). The various macrophyte taxa were classified to bottom cover classes by linear spectral unmixing combined with spectral derivative analysis. The result contains classes of small growing macrophytes (Characeae), high growing macrophytes (Potamogetae) and bottom sediments. Because of the different growth heights between the two macrophyte groups, Chara and Potamogeton could be successfully identified. Spectral discrimination to species level seems to be possible to a limited extent depending on the amount of epithetic growths, water depths and clarity, as well as the size and homogeneity of the patches.

Document Type:Conference or Workshop Item (Paper)
Title:Spectral Discrimination of Submerged Macrophytes in Lakes Using Hyperspectral Remote Sensing Data
Authors:
AuthorsInstitution or Email of Authors
Pinnel, NicoleTU München
Heege, ThomasUNSPECIFIED
Zimmermann, StefanUNSPECIFIED
Date:2005
Journal or Publication Title:Ocean Optics XVII
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Volume:CD-ROM
Page Range:pp. 1-16
Status:Published
Keywords:Macrophytes, lakes, ecosystem
Event Title:Ocean Optics XVII
Event Location:Frementale, Australien
Event Type:international Conference
Event Dates:2004-10-25 - 2004-10-29
Organizer:IOCCG
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 Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Marine Remote Sensing
Deposited By: Bärbel Bolowski
Deposited On:21 Nov 2005
Last Modified:27 Apr 2009 04:42

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.