Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31731
Appears in Collections:Biological and Environmental Sciences Conference Papers and Proceedings
Author(s): Simpson, Morgan
Marino, Armando
Prabhu, G Nagendra
Bhowmik, Deepayan
Rupavatharam, Srikanth
Datta, Aviraj
Kleczkowski, Adam
Sujeetha, J Alice R P
Maharaj, Savitri
Contact Email: deepayan.bhowmik@stir.ac.uk
Title: Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data
Citation: Simpson 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/InGARSS48198.2020.9358977
Issue Date: 2021
Date Deposited: 24-Sep-2020
Conference Name: IEEE International India Geoscience and Remote Sensing Symposium 2020 (InGARSS)
Conference Dates: 2020-12-02 - 2020-12-05
Conference Location: Online
Abstract: Water 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.
Status: AM - Accepted Manuscript
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.

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