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Remote Sensing of Inland Waters

Thiemann, S. (2001) Remote Sensing of Inland Waters. In: Proceedings of the 4th Berlin Workshop on Ocean Remote Sensing "5 Years of MOS-IRS", pp. 195-203. Wissenschaft & Technik Verlag, Berlin,. 4th Berlin Workshop on Ocean Remote Sensing.

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Abstract

This study presents a remote sensing approach for monitoring inland waters exemplified for the Mecklenburg Lake District, Germany. From airborne hyperspectral remote sensing data the relevant parameters Secchi depth, chlorophyll concentration, and phycocyanin concentration are derived. Based on 38 independent in situ reference measurements regression models are established, transferred to airborne data of three different dates, and validated with additional reference measurements. After this regional calibration the models can be used continuingly without the need of further water sampling. The remote sensing data for the first time supply a synoptic and spatial overview of the concentration distributions of the water parameters in the Mecklenburg Lake District. Therewith, an instrument is being provided to plan the more intensive in situ measurements more effectively over space and time.

Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2002,
Title:Remote Sensing of Inland Waters
Authors:
AuthorsInstitution or Email of Authors
Thiemann, S.UNSPECIFIED
Date:2001
Journal or Publication Title:Proceedings of the 4th Berlin Workshop on Ocean Remote Sensing "5 Years of MOS-IRS"
Page Range:pp. 195-203
Editors:
EditorsEmail
Wissenschaft & Technik Verlag, Berlin,, UNSPECIFIED
Publisher:Wissenschaft & Technik Verlag, Berlin,
Status:Published
Event Title:4th Berlin Workshop on Ocean Remote Sensing
Organizer:Wissenschaft & Technik Verlag
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: Cornelia Roehl
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 22:09

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