Chlorophyll retrieval with MERIS Case-2-Regional in perialpine lakes
Semi-analytical remote sensing applications for eutrophic waters are not applicable to oligo- and mesotrophic lakes in the perialpine area, since they are insensitive to chlorophyll concentration variations between 1 and 10 mg/m 3. The neural network based Case-2-Regional algorithm for MERIS was dev...
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Published in | Remote sensing of environment Vol. 114; no. 3; pp. 607 - 617 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
Elsevier Inc
15.03.2010
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Semi-analytical remote sensing applications for eutrophic waters are not applicable to oligo- and mesotrophic lakes in the perialpine area, since they are insensitive to chlorophyll concentration variations between 1 and 10
mg/m
3. The neural network based Case-2-Regional algorithm for MERIS was developed to fill this gap, along with the ICOL adjacency effect correction algorithm. The algorithms are applied to a collection of 239 satellite images from 2003–2008, and the results are compared to experimental and official water quality data collected in six perialpine lakes in the same period. It is shown that remote sensing estimates can provide an adequate supplementary data source to in situ data series of the top 5
m water layer, provided that a sufficient number of matchups for a site specific maximum temporal offset are available. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0034-4257 1879-0704 |
DOI: | 10.1016/j.rse.2009.10.016 |