A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters
In ocean colour remote sensing, the use of Near Infra Red (NIR) spectral bands for the retrieval of Total Suspended Matter (TSM) concentration in turbid and highly turbid waters has proven to be successful. In extremely turbid waters (TSM>100mgL−1) however, these bands are less sensitive to incre...
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description | In ocean colour remote sensing, the use of Near Infra Red (NIR) spectral bands for the retrieval of Total Suspended Matter (TSM) concentration in turbid and highly turbid waters has proven to be successful. In extremely turbid waters (TSM>100mgL−1) however, these bands are less sensitive to increases in TSM. Here it is proposed to use Short Wave Infra Red (SWIR) spectral bands between 1000 and 1300nm for these extreme cases. This SWIR spectral region is subdivided into two regions, SWIR-I (1000nm to 1200nm) and SWIR-II (1200nm to 1300nm) which correspond to local minima in the pure water absorption spectrum. For both spectral regions the water reflectance signal was measured in situ with an ASD spectrometer in three different extremely turbid estuarine sites: Scheldt (Belgium), Gironde (France), and Río de la Plata (Argentina), along with the TSM concentration. A measurable water reflectance was observed for all sites in SWIR-I, while in the SWIR-II region the signal was not significant compared to the Signal-to-Noise Ratio (SNR) of current Ocean Colour (OC) sensors. For the spectral band at 1020nm (present in Ocean and Land Colour Instrument — OLCI, onboard Sentinel-3) and at 1071nm, an empirical single band TSM algorithm is defined which is valid for both the Gironde and Scheldt estuarine sites. This means that a single algorithm can be applied for both sites without expensive recalibration. The relationship between TSM and SWIR reflectance at 1020 and 1071nm is linear and did not show any saturation for the concentrations measured here (up to 1400mgL−1), while saturation was observed for the NIR wavelengths, as expected. Hence, for extremely turbid waters it is advised to switch from NIR to SWIR-I wavelengths to estimate TSM concentration. This was demonstrated for an airborne hyperspectral dataset (Airborne Prism Experiment, APEX) from the Gironde estuary having several spectral bands in the SWIR-I. The empirical single band SWIR TSM algorithm was applied to the atmospherically corrected scene providing a TSM concentration map of the Gironde from mouth to more upstream with concentrations expected in this region ranging from a few to several hundreds mgL−1. These results, i.e. the existence of a single relationship for the Scheldt and Gironde, not showing any decrease of sensitivity, highlights the importance of having SWIR bands in future ocean colour sensors for studying extremely turbid rivers, coastal areas and estuaries in the world. A further imp |
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•A SWIR based TSM algorithm is defined for extremely turbid waters.•The relationship between TSM and SWIR reflectance did not show any saturation.•The relationship is at least valid for both Scheldt and Gironde study sites.•TSM limits are provided for atmospheric corrections assuming a SWIR black pixel.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2015.06.022</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Brackish ; Earth Sciences ; Extremely turbid ; Oceanography ; Sciences of the Universe ; Short Wave Infra Red ; Total Suspended Matter ; Water</subject><ispartof>Remote Sensing of Environment, 2015-10, Vol.168, p.66-79</ispartof><rights>2015 Elsevier Inc.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c473t-f922a10e6005cb2b061b8c06b8bacf771b8cd6f38141c7483497d33abad58eca3</citedby><cites>FETCH-LOGICAL-c473t-f922a10e6005cb2b061b8c06b8bacf771b8cd6f38141c7483497d33abad58eca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rse.2015.06.022$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03502724$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Knaeps, E.</creatorcontrib><creatorcontrib>Ruddick, K.G.</creatorcontrib><creatorcontrib>Doxaran, D.</creatorcontrib><creatorcontrib>Dogliotti, A.I.</creatorcontrib><creatorcontrib>Nechad, B.</creatorcontrib><creatorcontrib>Raymaekers, D.</creatorcontrib><creatorcontrib>Sterckx, S.</creatorcontrib><title>A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters</title><title>Remote Sensing of Environment</title><description>In ocean colour remote sensing, the use of Near Infra Red (NIR) spectral bands for the retrieval of Total Suspended Matter (TSM) concentration in turbid and highly turbid waters has proven to be successful. In extremely turbid waters (TSM>100mgL−1) however, these bands are less sensitive to increases in TSM. Here it is proposed to use Short Wave Infra Red (SWIR) spectral bands between 1000 and 1300nm for these extreme cases. This SWIR spectral region is subdivided into two regions, SWIR-I (1000nm to 1200nm) and SWIR-II (1200nm to 1300nm) which correspond to local minima in the pure water absorption spectrum. For both spectral regions the water reflectance signal was measured in situ with an ASD spectrometer in three different extremely turbid estuarine sites: Scheldt (Belgium), Gironde (France), and Río de la Plata (Argentina), along with the TSM concentration. A measurable water reflectance was observed for all sites in SWIR-I, while in the SWIR-II region the signal was not significant compared to the Signal-to-Noise Ratio (SNR) of current Ocean Colour (OC) sensors. For the spectral band at 1020nm (present in Ocean and Land Colour Instrument — OLCI, onboard Sentinel-3) and at 1071nm, an empirical single band TSM algorithm is defined which is valid for both the Gironde and Scheldt estuarine sites. This means that a single algorithm can be applied for both sites without expensive recalibration. The relationship between TSM and SWIR reflectance at 1020 and 1071nm is linear and did not show any saturation for the concentrations measured here (up to 1400mgL−1), while saturation was observed for the NIR wavelengths, as expected. Hence, for extremely turbid waters it is advised to switch from NIR to SWIR-I wavelengths to estimate TSM concentration. This was demonstrated for an airborne hyperspectral dataset (Airborne Prism Experiment, APEX) from the Gironde estuary having several spectral bands in the SWIR-I. The empirical single band SWIR TSM algorithm was applied to the atmospherically corrected scene providing a TSM concentration map of the Gironde from mouth to more upstream with concentrations expected in this region ranging from a few to several hundreds mgL−1. These results, i.e. the existence of a single relationship for the Scheldt and Gironde, not showing any decrease of sensitivity, highlights the importance of having SWIR bands in future ocean colour sensors for studying extremely turbid rivers, coastal areas and estuaries in the world. A further implication of these results is that there is a TSM limit for application of atmospheric correction algorithms which assume zero SWIR marine reflectance. That limit is defined here as function of wavelength and sensor noise level.
•A SWIR based TSM algorithm is defined for extremely turbid waters.•The relationship between TSM and SWIR reflectance did not show any saturation.•The relationship is at least valid for both Scheldt and Gironde study sites.•TSM limits are provided for atmospheric corrections assuming a SWIR black pixel.</description><subject>Brackish</subject><subject>Earth Sciences</subject><subject>Extremely turbid</subject><subject>Oceanography</subject><subject>Sciences of the Universe</subject><subject>Short Wave Infra Red</subject><subject>Total Suspended Matter</subject><subject>Water</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kEtr3DAUhUVoINMkPyA7LduFnauHLZmuhtA2AwOBJiFLIcvXiQZ7PJU0086_r8yULLO6r-8cuIeQGwYlA1bfbsoQseTAqhLqEjg_IwumVVOAAvmJLACELCSv1AX5HOMGMqgVW5CnJX18Wf2irY3YUTu8TsGnt5GmiQZMweMBc5_sQOM-7nDbZWq0KWGgfkvxbwo44nCkaR9a39E_Nl_iFTnv7RDx-n-9JM8_vj_d3Rfrh5-ru-W6cFKJVPQN55YB1gCVa3kLNWu1g7rVrXW9UvPU1b3QTDKnpBayUZ0QtrVdpdFZcUm-nnzf7GB2wY82HM1kvblfrs28A1EBV1weWGa_nNhdmH7vMSYz-uhwGOwWp300TMlaa9GwJqPshLowxRiwf_dmYOa0zcbktM2ctoHa5LSz5ttJg_nfg8dgovO4ddj5gC6ZbvIfqP8B55eHYQ</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Knaeps, E.</creator><creator>Ruddick, K.G.</creator><creator>Doxaran, D.</creator><creator>Dogliotti, A.I.</creator><creator>Nechad, B.</creator><creator>Raymaekers, D.</creator><creator>Sterckx, S.</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>SOI</scope><scope>1XC</scope></search><sort><creationdate>20151001</creationdate><title>A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters</title><author>Knaeps, E. ; Ruddick, K.G. ; Doxaran, D. ; Dogliotti, A.I. ; Nechad, B. ; Raymaekers, D. ; Sterckx, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-f922a10e6005cb2b061b8c06b8bacf771b8cd6f38141c7483497d33abad58eca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Brackish</topic><topic>Earth Sciences</topic><topic>Extremely turbid</topic><topic>Oceanography</topic><topic>Sciences of the Universe</topic><topic>Short Wave Infra Red</topic><topic>Total Suspended Matter</topic><topic>Water</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Knaeps, E.</creatorcontrib><creatorcontrib>Ruddick, K.G.</creatorcontrib><creatorcontrib>Doxaran, D.</creatorcontrib><creatorcontrib>Dogliotti, A.I.</creatorcontrib><creatorcontrib>Nechad, B.</creatorcontrib><creatorcontrib>Raymaekers, D.</creatorcontrib><creatorcontrib>Sterckx, S.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Remote Sensing of Environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Knaeps, E.</au><au>Ruddick, K.G.</au><au>Doxaran, D.</au><au>Dogliotti, A.I.</au><au>Nechad, B.</au><au>Raymaekers, D.</au><au>Sterckx, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters</atitle><jtitle>Remote Sensing of Environment</jtitle><date>2015-10-01</date><risdate>2015</risdate><volume>168</volume><spage>66</spage><epage>79</epage><pages>66-79</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>In ocean colour remote sensing, the use of Near Infra Red (NIR) spectral bands for the retrieval of Total Suspended Matter (TSM) concentration in turbid and highly turbid waters has proven to be successful. In extremely turbid waters (TSM>100mgL−1) however, these bands are less sensitive to increases in TSM. Here it is proposed to use Short Wave Infra Red (SWIR) spectral bands between 1000 and 1300nm for these extreme cases. This SWIR spectral region is subdivided into two regions, SWIR-I (1000nm to 1200nm) and SWIR-II (1200nm to 1300nm) which correspond to local minima in the pure water absorption spectrum. For both spectral regions the water reflectance signal was measured in situ with an ASD spectrometer in three different extremely turbid estuarine sites: Scheldt (Belgium), Gironde (France), and Río de la Plata (Argentina), along with the TSM concentration. A measurable water reflectance was observed for all sites in SWIR-I, while in the SWIR-II region the signal was not significant compared to the Signal-to-Noise Ratio (SNR) of current Ocean Colour (OC) sensors. For the spectral band at 1020nm (present in Ocean and Land Colour Instrument — OLCI, onboard Sentinel-3) and at 1071nm, an empirical single band TSM algorithm is defined which is valid for both the Gironde and Scheldt estuarine sites. This means that a single algorithm can be applied for both sites without expensive recalibration. The relationship between TSM and SWIR reflectance at 1020 and 1071nm is linear and did not show any saturation for the concentrations measured here (up to 1400mgL−1), while saturation was observed for the NIR wavelengths, as expected. Hence, for extremely turbid waters it is advised to switch from NIR to SWIR-I wavelengths to estimate TSM concentration. This was demonstrated for an airborne hyperspectral dataset (Airborne Prism Experiment, APEX) from the Gironde estuary having several spectral bands in the SWIR-I. The empirical single band SWIR TSM algorithm was applied to the atmospherically corrected scene providing a TSM concentration map of the Gironde from mouth to more upstream with concentrations expected in this region ranging from a few to several hundreds mgL−1. These results, i.e. the existence of a single relationship for the Scheldt and Gironde, not showing any decrease of sensitivity, highlights the importance of having SWIR bands in future ocean colour sensors for studying extremely turbid rivers, coastal areas and estuaries in the world. A further implication of these results is that there is a TSM limit for application of atmospheric correction algorithms which assume zero SWIR marine reflectance. That limit is defined here as function of wavelength and sensor noise level.
•A SWIR based TSM algorithm is defined for extremely turbid waters.•The relationship between TSM and SWIR reflectance did not show any saturation.•The relationship is at least valid for both Scheldt and Gironde study sites.•TSM limits are provided for atmospheric corrections assuming a SWIR black pixel.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2015.06.022</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Brackish Earth Sciences Extremely turbid Oceanography Sciences of the Universe Short Wave Infra Red Total Suspended Matter Water |
title | A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters |
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