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Mapping of submerged aquatic vegetation with a physically based process chain

Heege, Thomas and Bogner, Anke and Pinnel, Nicole (2004) Mapping of submerged aquatic vegetation with a physically based process chain. In: Remote Sensing of the Ocean and Sea Ice 2003, SPIE Proceedings (CD-ROM), pp. 43-50. Proc. Remote Sensing 2003, Barcelona, 8-12 Septmber 2003. ISBN 0-8194-5116-9.

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Mapping the submerse vegetation is of prime importance for the ecological evaluation of an entire lake. Remote sensing techniques are efficient for such mapping tasks, if the retrieval algorithms and processing methods are robust and mostly independent from additional ground truth measurements. The Modular Inversion Program (MIP) follows this concept. It is a processing tool designed for the recovery of hydro-biological parameters from multi- and hyper-spectral remote sensing data. The architecture of the program consists of physical inversion schemes that derive bio-physical parameters from the measured radiance signal at the sensor. Program modules exist for the retrieval of aerosols, sun glitter correction, atmospheric corrections, retrieval of water constituents among others. For the purpose of mapping the bottom coverage in optically shallow waters, two modules have been added to MIP. The first module calculates the bottom reflectance using the subsurface reflectance, the depth and an approximation of the water constituent concentrations as input. The second module fractionalizes the bottom reflectance to three endmembers of specific reflectance spectra by linear unmixing. The three endmembers are specific reflectance spectra of bottom sediments, small growing macrophytes (Characeae) and tall macrophytes such as Potamogeton perfoliatus & P. pectinatus. The processing system has been tested with data collected from the multi-spectral airborne scanner Daedalus AADS1268 at Lake Constance, Germany, for multi- temporal analysis.

Item URL in elib:https://elib.dlr.de/8116/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2004, monograph_id=5233,
Title:Mapping of submerged aquatic vegetation with a physically based process chain
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Pinnel, NicoleTU MünchenUNSPECIFIED
Journal or Publication Title:Remote Sensing of the Ocean and Sea Ice 2003
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Volume:SPIE Proceedings (CD-ROM)
Page Range:pp. 43-50
EditorsEmailEditor's ORCID iD
Keywords:Remote sensing, inland water, shallow water, macrophyte, retrieval, airborne, multispectral
Event Title:Proc. Remote Sensing 2003, Barcelona, 8-12 Septmber 2003
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):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: DLR-Beauftragter, elib
Deposited On:30 Jan 2006
Last Modified:06 Jan 2010 22:22

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