dc.contributor.author | Korosov, A. A. | eng |
dc.contributor.author | Pozdnyakov, D. V. | eng |
dc.contributor.author | Folkestad, Are | eng |
dc.contributor.author | Pettersson, Lasse H. | eng |
dc.contributor.author | Sørensen, Kai | eng |
dc.contributor.author | Shuchman, Robert A. | eng |
dc.date.accessioned | 2009-03-19T13:43:24Z | |
dc.date.available | 2009-03-19T13:43:24Z | |
dc.date.issued | 2009-03-10 | eng |
dc.Published | Algorithms 2009;2(1):470-497 | |
dc.identifier.issn | 1999-4893 | |
dc.identifier.uri | https://hdl.handle.net/1956/3194 | |
dc.description.abstract | An advanced operational semi-empirical algorithm for processing satellite remote sensing data in the visible region is described. Based on the Levenberg-Marquardt multivariate optimization procedure, the algorithm is developed for retrieving major water colour producing agents: chlorophyll-a, suspended minerals and dissolved organics. Two assurance units incorporated by the algorithm are intended to flag pixels with inaccurate atmospheric correction and specific hydro-optical properties not covered by the applied hydro-optical model. The hydro-optical model is a set of spectral cross-sections of absorption and backscattering of the colour producing agents. The combination of the optimization procedure and a replaceable hydro-optical model makes the developed algorithm not specific to a particular satellite sensor or a water body. The algorithm performance efficiency is amply illustrated for SeaWiFS, MODIS and MERIS images over a variety of water bodies. | en_US |
dc.language.iso | eng | eng |
dc.publisher | Molecular Diversity Preservation International (MDPI) | eng |
dc.subject | Satellite remote sensing | eng |
dc.subject | Water quality | eng |
dc.subject | Operational algorithm | eng |
dc.title | Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments | eng |
dc.type | Journal article | eng |
dc.identifier.doi | https://doi.org/10.3390/a2010470 | |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400 | nob |