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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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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.

Item URL in elib:https://elib.dlr.de/7943/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2002,
Title:Remote Sensing of Inland Waters
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Journal or Publication Title:Proceedings of the 4th Berlin Workshop on Ocean Remote Sensing "5 Years of MOS-IRS"
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 195-203
EditorsEmailEditor's ORCID iD
Wissenschaft & Technik Verlag, Berlin,, UNSPECIFIEDUNSPECIFIED
Publisher:Wissenschaft & Technik Verlag, Berlin,
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: Roehl, Cornelia
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 22:09

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