Comparison of remote sensing data, model results and in-situ data for the Southern Frisian lakes

A.G. Dekker, R.J. Vos, S.W.M. Peters

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Suspended matter plays an important role in water quality management since it is related to total primary production and fluxes of heavy metals and micropollutants such as PCBs. Synoptic information on suspended matter at a regular frequency is difficult to obtain from the routine in situ monitoring network since suspended matter is (like chlorophyll) a spatially inhomogeneous parameter. This can be solved by the integrated use of remote sensing data, in situ data and water quality models. A methodology previously developed for integrating information from remote sensing, and models (Vos and Schuttelaar, Neth Remote Sensing Board (1995) report 95-19), was applied for the assessment of suspended matter concentrations in the southern Frisian lakes in the Netherlands. The model is a one-dimensional network model. Remote sensing data (Landsat-TM5 and SPOT-HRV) were atmospherically corrected and converted to total suspended matter maps. The algorithms are based on analytical optical modelling, using the in situ inherent optical properties. This methodology enables the development of multi-temporal algorithms for estimating seston dry weight concentration in lakes from remotely sensed data; thus satellite data can now become an independent measurement tool for water management authorities. Copyright © 2001 Elsevier Science B.V.
Original languageEnglish
Pages (from-to)197-214
Number of pages18
JournalScience of the Total Environment
Volume268
Issue number1-3
DOIs
Publication statusPublished - 2001

Fingerprint

Lakes
Data structures
Remote sensing
remote sensing
lake
Water quality
Polychlorinated Biphenyls
Water management
Quality management
Chlorophyll
Heavy Metals
Polychlorinated biphenyls
seston
methodology
Heavy metals
SPOT
data quality
Optical properties
optical property
Landsat

Cite this

Dekker, A.G. ; Vos, R.J. ; Peters, S.W.M. / Comparison of remote sensing data, model results and in-situ data for the Southern Frisian lakes. In: Science of the Total Environment. 2001 ; Vol. 268, No. 1-3. pp. 197-214.
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abstract = "Suspended matter plays an important role in water quality management since it is related to total primary production and fluxes of heavy metals and micropollutants such as PCBs. Synoptic information on suspended matter at a regular frequency is difficult to obtain from the routine in situ monitoring network since suspended matter is (like chlorophyll) a spatially inhomogeneous parameter. This can be solved by the integrated use of remote sensing data, in situ data and water quality models. A methodology previously developed for integrating information from remote sensing, and models (Vos and Schuttelaar, Neth Remote Sensing Board (1995) report 95-19), was applied for the assessment of suspended matter concentrations in the southern Frisian lakes in the Netherlands. The model is a one-dimensional network model. Remote sensing data (Landsat-TM5 and SPOT-HRV) were atmospherically corrected and converted to total suspended matter maps. The algorithms are based on analytical optical modelling, using the in situ inherent optical properties. This methodology enables the development of multi-temporal algorithms for estimating seston dry weight concentration in lakes from remotely sensed data; thus satellite data can now become an independent measurement tool for water management authorities. Copyright {\circledC} 2001 Elsevier Science B.V.",
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Comparison of remote sensing data, model results and in-situ data for the Southern Frisian lakes. / Dekker, A.G.; Vos, R.J.; Peters, S.W.M.

In: Science of the Total Environment, Vol. 268, No. 1-3, 2001, p. 197-214.

Research output: Contribution to JournalArticleAcademicpeer-review

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