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HMM Imaging of the Aquatic Ecosystem

Gege, Peter (2017) HMM Imaging of the Aquatic Ecosystem. Dagstuhl Seminar 17411, 8.-13. Okt. 2017, Wadern, Germany.

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The oceans are monitored since decades using multispectral sensors on satellite, but very little information is available for the majority of inland waters since they are too small for ocean colour satellites, optically too complex for most multispectral sensors and too numerous (around 120 million lakes > 15 m) for traditional sampling. Since inland waters cover less than 4 % of Earth's surface, their importance for global processes has long been overlooked, but new data indicate that they may be more important than the oceans in some aspects, e.g. they bury twice as much carbon from the atmosphere by sedimentation. A number of hyperspectral space sensors will be launched in the next years whose resolution of 30 m is suited to monitor water quality of nearly 90 % of the lake areas. I present the principles of the models that are used to analyse hyperspectral data over water and discuss the potential and challenges of hyperspectral imaging for optically complex water types.

Item URL in elib:https://elib.dlr.de/116673/
Document Type:Conference or Workshop Item (Speech)
Title:HMM Imaging of the Aquatic Ecosystem
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gege, Peterpeter.gege (at) dlr.dehttps://orcid.org/0000-0003-0939-5267
Date:10 October 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Series Name:Dagstuhl Reports
Keywords:Hyperspectral, remote sensing, water, aquatic ecosystem, HySpex
Event Title:Dagstuhl Seminar 17411
Event Location:Wadern, Germany
Event Type:Workshop
Event Dates:8.-13. Okt. 2017
Organizer:Schloss Dagstuhl, Leibniz-Zentrum für Informatik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Experimental Methods
Deposited By: Gege, Dr.rer.nat. Peter
Deposited On:15 Dec 2017 09:37
Last Modified:31 Jul 2019 20:14

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