Mapping and Monitoring Of Water Hyacinth In Lake Victoria Using Polarimetric Radar Data

Felix, I K and Armando, M and Simpson, M D and Vahid, A and Silva, T S F and Datta, A and Nagendra, P G and Pranuthi, G and Rupavatharam, S (2024) Mapping and Monitoring Of Water Hyacinth In Lake Victoria Using Polarimetric Radar Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 (8). pp. 1-11. ISSN 1939-1404

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Abstract

Water hyacinth, an invasive species originating from South America, has become a significant concern since its introduction in Lake Victoria (Kenya), particularly in the Winam Gulf, where large annual blooms are observed. Monitoring the occurrence and location using in situ methods is expensive and challenging due to the lake's vastness. Remote sensing monitoring methods offer an alternate option due to the ability to cover vast areas. This study explores the potential of polarimetric Synthetic Aperture Radar (PolSAR), specifically utilising Sentinel-1 VV-VH data to map and monitor water hyacinth cover. The change detection method based on Optimisation of Power Difference (OPDiff) and minimum eigenvalue selection achieves a remarkable accuracy of 98.89% in separating clear and water hyacinth-infested water. Using polarimetric data offered better separability, enabling spatial and temporal monitoring. The analysis reveals that in 2018 water hyacinth cover peaked, spanning over 200 km 2 . Temporal variability showcases a seasonal rise and peak from September to December. This research demonstrates the capability of using PolSAR data to accurately map and monitor water hyacinth's spatial and temporal dynamics, offering valuable insights for effective management strategies.

Item Type:	Article
Divisions:	Global Research Program - Resilient Farm and Food Systems
CRP:	UNSPECIFIED
Uncontrolled Keywords:	SAR polarimetry, optimisation of power difference, water hyacinth monitoring, change detection
Subjects:	Others > Water Resources
Depositing User:	Mr Nagaraju T
Date Deposited:	17 Oct 2024 08:52
Last Modified:	17 Oct 2024 08:52
URI:	http://oar.icrisat.org/id/eprint/12839
Official URL:	https://ieeexplore.ieee.org/document/10711204
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	UNSPECIFIED
Links:	Google Scholar

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