Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31731
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dc.contributor.authorSimpson, Morganen_UK
dc.contributor.authorMarino, Armandoen_UK
dc.contributor.authorPrabhu, G Nagendraen_UK
dc.contributor.authorBhowmik, Deepayanen_UK
dc.contributor.authorRupavatharam, Srikanthen_UK
dc.contributor.authorDatta, Avirajen_UK
dc.contributor.authorKleczkowski, Adamen_UK
dc.contributor.authorSujeetha, J Alice R Pen_UK
dc.contributor.authorMaharaj, Savitrien_UK
dc.date.accessioned2020-09-25T00:00:42Z-
dc.date.available2020-09-25T00:00:42Z-
dc.date.issued2021en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31731-
dc.description.abstractWater Hyacinth is an aquatic macrophyte and highly invasive species, indigenous to Amazonia, Brazil and tropical South America. It was first introduced to India in 1896 and has now become and environmental and social nuisance throughout the country in community ponds, freshwater lakes, irrigation channels, rivers and most other surface waterbodies. Considering the adverse impact the infesting weed has, a constant monitoring is needed to aid policy makers involved in remedial measures. Due to the synoptic coverage provided by satellite imaging and other remote sensing practices, it is convenient to find a solution using this type of data. This paper looks at the use of Synthetic Aperture Radar (SAR) Sentinel-1 to detect water hyacinth at an early stage of its life-cycle. While SAR has been used prominently to monitor wetlands, the technique is yet to be fully exploited for monitoring water hyacinth and we seek to fill this knowledge gap. We compare different change detection methodologies based on dual po-larimetric data. We also demonstrate how Sentinel-1 can be used to monitor this type of aquatic weeds in our study areas, which is Vembanad Lake in Kuttanad, Kerala.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationSimpson M, Marino A, Prabhu GN, Bhowmik D, Rupavatharam S, Datta A, Kleczkowski A, Sujeetha JARP & Maharaj S (2021) Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data. In: 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS), Online, 02.12.2020-05.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/InGARSS48198.2020.9358977en_UK
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_UK
dc.subjectWater Hyacinthen_UK
dc.subjectremote monitoringen_UK
dc.subjectRADARen_UK
dc.subjectSENTINAL-1en_UK
dc.subjectSARen_UK
dc.titleMonitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR dataen_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1109/InGARSS48198.2020.9358977en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderRoyal Academy of Engineeringen_UK
dc.author.emaildeepayan.bhowmik@stir.ac.uken_UK
dc.citation.btitle2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)en_UK
dc.citation.conferencedates2020-12-02 - 2020-12-05en_UK
dc.citation.conferencelocationOnlineen_UK
dc.citation.conferencenameIEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS)en_UK
dc.citation.date23/02/2021en_UK
dc.citation.isbn978-1-7281-3115-3en_UK
dc.citation.isbn978-1-7281-3114-6en_UK
dc.publisher.addressPiscataway, NJ, USAen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationSanatana Dharma Collegeen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen_UK
dc.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen_UK
dc.contributor.affiliationUniversity of Strathclydeen_UK
dc.contributor.affiliationNational Institute of Plant Health Management (India)en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-85102279402en_UK
dc.identifier.wtid1664976en_UK
dc.contributor.orcid0000-0002-4531-3102en_UK
dc.contributor.orcid0000-0003-1762-1578en_UK
dc.contributor.orcid0000-0003-1384-4352en_UK
dc.contributor.orcid0000-0002-0674-6044en_UK
dc.date.accepted2020-09-23en_UK
dcterms.dateAccepted2020-09-23en_UK
dc.date.filedepositdate2020-09-24en_UK
dc.relation.funderprojectMultimodal data analysis for monitoring invasive aquatic weeds in Indiaen_UK
dc.relation.funderrefFF\1920\1\37en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorSimpson, Morgan|en_UK
local.rioxx.authorMarino, Armando|0000-0002-4531-3102en_UK
local.rioxx.authorPrabhu, G Nagendra|en_UK
local.rioxx.authorBhowmik, Deepayan|0000-0003-1762-1578en_UK
local.rioxx.authorRupavatharam, Srikanth|en_UK
local.rioxx.authorDatta, Aviraj|en_UK
local.rioxx.authorKleczkowski, Adam|0000-0003-1384-4352en_UK
local.rioxx.authorSujeetha, J Alice R P|en_UK
local.rioxx.authorMaharaj, Savitri|0000-0002-0674-6044en_UK
local.rioxx.projectFF\1920\1\37|Royal Academy of Engineering|http://dx.doi.org/10.13039/501100000287en_UK
local.rioxx.freetoreaddate2020-09-24en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2020-09-24|en_UK
local.rioxx.filename20200629023040_816854_1086.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-1-7281-3114-6en_UK
Appears in Collections:Biological and Environmental Sciences Conference Papers and Proceedings

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