Quantitative modeling of inland water quality for high-resolution MSS systems
For a lake system in The Netherlands, Secchi disk transparency, seston dry weight, vertical attenuation coefficients, chlorophyll-a, and phaeopigments were determined. Inherent optical properties were estimated from measured apparent optical properties. Subsurface spectroradiometric measurements and...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 1991-01, Vol.29 (1), p.89-95 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Dekker, A.G. Malthus, T.J. Seyhan, E. |
| description | For a lake system in The Netherlands, Secchi disk transparency, seston dry weight, vertical attenuation coefficients, chlorophyll-a, and phaeopigments were determined. Inherent optical properties were estimated from measured apparent optical properties. Subsurface spectroradiometric measurements and airborne (non)-imaging spectrometric measurements were performed. This made it possible to model the performance of high-resolution multispectral scanning systems. Results of multivariate statistical modeling of water quality parameters versus simulated spectral band ratios for a water quality spectral bandset of the programmable multispectral imager (PMI), also known as the fluorescence line imager (FLI), are presented.< > |
| doi_str_mv | 10.1109/36.103296 |
| format | Article |
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Inherent optical properties were estimated from measured apparent optical properties. Subsurface spectroradiometric measurements and airborne (non)-imaging spectrometric measurements were performed. This made it possible to model the performance of high-resolution multispectral scanning systems. Results of multivariate statistical modeling of water quality parameters versus simulated spectral band ratios for a water quality spectral bandset of the programmable multispectral imager (PMI), also known as the fluorescence line imager (FLI), are presented.< ></description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/36.103296</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>IEEE</publisher><subject>airborne sensing ; Freshwater ; inland water ; Lakes ; Light scattering ; Optical attenuators ; Optical scattering ; Optical sensors ; Optical surface waves ; Remote sensing ; Secchi discs ; Signal resolution ; spectrochemical analysis ; Spectroscopy ; Water ; water analysis ; water quality ; water transparency</subject><ispartof>IEEE transactions on geoscience and remote sensing, 1991-01, Vol.29 (1), p.89-95</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-e4685aec8f0bb9b0aa7d2962c7e02098c7f9e1be395f83761c73ecf843c92b993</citedby><cites>FETCH-LOGICAL-c412t-e4685aec8f0bb9b0aa7d2962c7e02098c7f9e1be395f83761c73ecf843c92b993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/103296$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/103296$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dekker, A.G.</creatorcontrib><creatorcontrib>Malthus, T.J.</creatorcontrib><creatorcontrib>Seyhan, E.</creatorcontrib><title>Quantitative modeling of inland water quality for high-resolution MSS systems</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>For a lake system in The Netherlands, Secchi disk transparency, seston dry weight, vertical attenuation coefficients, chlorophyll-a, and phaeopigments were determined. Inherent optical properties were estimated from measured apparent optical properties. Subsurface spectroradiometric measurements and airborne (non)-imaging spectrometric measurements were performed. This made it possible to model the performance of high-resolution multispectral scanning systems. Results of multivariate statistical modeling of water quality parameters versus simulated spectral band ratios for a water quality spectral bandset of the programmable multispectral imager (PMI), also known as the fluorescence line imager (FLI), are presented.< ></description><subject>airborne sensing</subject><subject>Freshwater</subject><subject>inland water</subject><subject>Lakes</subject><subject>Light scattering</subject><subject>Optical attenuators</subject><subject>Optical scattering</subject><subject>Optical sensors</subject><subject>Optical surface waves</subject><subject>Remote sensing</subject><subject>Secchi discs</subject><subject>Signal resolution</subject><subject>spectrochemical analysis</subject><subject>Spectroscopy</subject><subject>Water</subject><subject>water analysis</subject><subject>water quality</subject><subject>water transparency</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNqF0TtPwzAUBWALgUQpDKxMnpAYUvyKY4-o4iW1QqgwR4570xqlcWs7oP57AmFg63SH--noSAehS0omlBJ9y-WEEs60PEIjmucqI1KIYzQiVMuMKc1O0VmMH4RQkdNihOavnWmTSya5T8Abv4TGtSvsa-zaxrRL_GUSBLzrTOPSHtc-4LVbrbMA0Tddcr7F88UCx31MsInn6KQ2TYSLvztG7w_3b9OnbPby-Dy9m2VWUJYyEFLlBqyqSVXpihhTLPvKzBZAGNHKFrUGWgHXea14IaktONhaCW41q7TmY3Q95G6D33UQU7lx0ULTNwbfxZJpwgRVxWGocskZVYdhzrXouxyEVBLKRcF7eDNAG3yMAepyG9zGhH1JSfmzVcllOWzV26vBOgD4536f337Jjl8</recordid><startdate>199101</startdate><enddate>199101</enddate><creator>Dekker, A.G.</creator><creator>Malthus, T.J.</creator><creator>Seyhan, E.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TV</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>FR3</scope><scope>KR7</scope><scope>H8D</scope></search><sort><creationdate>199101</creationdate><title>Quantitative modeling of inland water quality for high-resolution MSS systems</title><author>Dekker, A.G. ; Malthus, T.J. ; Seyhan, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-e4685aec8f0bb9b0aa7d2962c7e02098c7f9e1be395f83761c73ecf843c92b993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>airborne sensing</topic><topic>Freshwater</topic><topic>inland water</topic><topic>Lakes</topic><topic>Light scattering</topic><topic>Optical attenuators</topic><topic>Optical scattering</topic><topic>Optical sensors</topic><topic>Optical surface waves</topic><topic>Remote sensing</topic><topic>Secchi discs</topic><topic>Signal resolution</topic><topic>spectrochemical analysis</topic><topic>Spectroscopy</topic><topic>Water</topic><topic>water analysis</topic><topic>water quality</topic><topic>water transparency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dekker, A.G.</creatorcontrib><creatorcontrib>Malthus, T.J.</creatorcontrib><creatorcontrib>Seyhan, E.</creatorcontrib><collection>CrossRef</collection><collection>Pollution Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Aerospace Database</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dekker, A.G.</au><au>Malthus, T.J.</au><au>Seyhan, E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative modeling of inland water quality for high-resolution MSS systems</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>1991-01</date><risdate>1991</risdate><volume>29</volume><issue>1</issue><spage>89</spage><epage>95</epage><pages>89-95</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>For a lake system in The Netherlands, Secchi disk transparency, seston dry weight, vertical attenuation coefficients, chlorophyll-a, and phaeopigments were determined. Inherent optical properties were estimated from measured apparent optical properties. Subsurface spectroradiometric measurements and airborne (non)-imaging spectrometric measurements were performed. This made it possible to model the performance of high-resolution multispectral scanning systems. Results of multivariate statistical modeling of water quality parameters versus simulated spectral band ratios for a water quality spectral bandset of the programmable multispectral imager (PMI), also known as the fluorescence line imager (FLI), are presented.< ></abstract><pub>IEEE</pub><doi>10.1109/36.103296</doi><tpages>7</tpages></addata></record> |
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| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 1991-01, Vol.29 (1), p.89-95 |
| issn | 0196-2892 1558-0644 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_25394837 |
| source | IEEE Electronic Library (IEL) |
| subjects | airborne sensing Freshwater inland water Lakes Light scattering Optical attenuators Optical scattering Optical sensors Optical surface waves Remote sensing Secchi discs Signal resolution spectrochemical analysis Spectroscopy Water water analysis water quality water transparency |
| title | Quantitative modeling of inland water quality for high-resolution MSS systems |
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