Assessment of Water Clarity in Surface Waterbodies using Remote Sensing Technology: A study in Krishnagar-I C. D. Block, Nadia, West Bengal, India

Theapplicationof remotesensingtechnologyindeterminingandassessingwaterbodiesforsustainableusehasbecomearecenttrendinevaluatingenvironmentalstatus.Thispaperfocusesontheuseof remotesensingtechnologyspecificallyformonitoringwaterqualitystatus.Thistechnologyofferssignificantopportunitiesformonitoringandmanagingwaterqualityatamicrolevelacrosslargeareas.Inthepresentstudy,somewaterparameters,suchasturbidity,chlorophyll-a,andtotalsuspendedsolids(TSS)wereanalysedusingremotesensingtechnology.Basedontheseparameters,acompositeindexcalledthesurfacewaterclarityindex(SWCI)wasdevelopedtoassesstheoverallhealthconditionof waterbodies.Thestudyidentified99.64%(2,506)of thewaterbodiesasnaturaland0.35%(9)asmanmade.Amongthetotal2,515waterbodies,29.46%(741)exhibitedhighsurfacewaterclarity(clearwater),60.91%(1,532)exhibitedmoderateclarity(moderatelyclearwater),and9.62%(242)exhibitedlowclarity(turbidwater).Notably,9.77%(241)ofnaturallakesorpondsand5.55%(1)of naturalwaterloggedareaswereclassifiedashavinglowwaterclarityorturbidwaterinthisarea.Inconclusion,remotesensingtechnologyisavaluableandcost-effectivetoolforwaterresourcemanagement.Furthermore,thestudyemphasizesthatthewaterbodieswithlowsurfacewaterclaritycanberestoredthroughtheapplicationof suitablenature-basedsolutions(NBS),providingapathwaytosustainablewaterresourcemanagement Key Words: Remote Sensing, Sentinel-2, Surface Water Clarity Index, Monitoring Status, Sustainable Water Management, Krishnagar-I

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-21
DOI
https://doi.org/10.5281/zenodo.15710310
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Assessment of Water Clarity in Surface Waterbodies using Remote Sensing Technology: A study in Krishnagar-I C. D. Block, Nadia, West Bengal, India

Zenodo (CERN European Organization for Nuclear Research)
Complex Network Analysis Techniques
article

Assessment of Water Clarity in Surface Waterbodies using Remote Sensing Technology: A study in Krishnagar-I C. D. Block, Nadia, West Bengal, India

article en

Abstract

Theapplicationof remotesensingtechnologyindeterminingandassessingwaterbodiesforsustainableusehasbecomearecenttrendinevaluatingenvironmentalstatus.Thispaperfocusesontheuseof remotesensingtechnologyspecificallyformonitoringwaterqualitystatus.Thistechnologyofferssignificantopportunitiesformonitoringandmanagingwaterqualityatamicrolevelacrosslargeareas.Inthepresentstudy,somewaterparameters,suchasturbidity,chlorophyll-a,andtotalsuspendedsolids(TSS)wereanalysedusingremotesensingtechnology.Basedontheseparameters,acompositeindexcalledthesurfacewaterclarityindex(SWCI)wasdevelopedtoassesstheoverallhealthconditionof waterbodies.Thestudyidentified99.64%(2,506)of thewaterbodiesasnaturaland0.35%(9)asmanmade.Amongthetotal2,515waterbodies,29.46%(741)exhibitedhighsurfacewaterclarity(clearwater),60.91%(1,532)exhibitedmoderateclarity(moderatelyclearwater),and9.62%(242)exhibitedlowclarity(turbidwater).Notably,9.77%(241)ofnaturallakesorpondsand5.55%(1)of naturalwaterloggedareaswereclassifiedashavinglowwaterclarityorturbidwaterinthisarea.Inconclusion,remotesensingtechnologyisavaluableandcost-effectivetoolforwaterresourcemanagement.Furthermore,thestudyemphasizesthatthewaterbodieswithlowsurfacewaterclaritycanberestoredthroughtheapplicationof suitablenature-basedsolutions(NBS),providingapathwaytosustainablewaterresourcemanagement Key Words: Remote Sensing, Sentinel-2, Surface Water Clarity Index, Monitoring Status, Sustainable Water Management, Krishnagar-I

Zenodo (CERN European Organization for Nuclear Research)
University of Burdwan (IN)
Clean water and sanitation
Openalex Percentile: Top 59%
Complex Network Analysis Techniques
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Assessment of Water Clarity in Surface Waterbodies using Remote Sensing Technology: A study in Krishnagar-I C. D. Block, Nadia, West Bengal, India · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS