Project

Multimodal data analysis for monitoring invasive aquatic weeds in India

Funded by Royal Academy of Engineering.

Collaboration with International Crops Research Institute for the Semi-Arid Tropics, National Institute of Plant Health Management (India), Sanatana Dharma College and University of Strathclyde.

Invasive aquatic weeds such as water hyacinth are an important problem in many parts of the world, including India. Early detection of weed regrowth after manual or mechanical removal can help to greatly reduce the cost of keeping water bodies free of the weed. However, in areas where there are many scattered and neglected water bodies present, early detection through manual surveys is difficult. This project will investigate the potential use of multi-modal data (satellite, drone, and ground-level IoT sensor data) for early detection of water hyacinth regrowth.

Total award value £299,906.46

People (3)

Dr Savi Maharaj

Dr Savi Maharaj

Senior Lecturer, Computing Science

Dr Armando Marino

Dr Armando Marino

Associate Professor, Biological and Environmental Sciences

Dr Vahid Akbari

Dr Vahid Akbari

Lect in Artificial Intelligence/Data Sci, Computing Science and Mathematics - Division

Outputs (7)

Conference Paper (published)

Isundwa F, Simpson M, Akbari V, Datta A, Nagendra P, Pranuthi G, Silva T, Srikanth R & Marino A (2024) Monitoring temporal trends to assess infestation of water hyacinth in Lake Victoria using PolSAR. In: EUSAR 2024; 15th European Conference on Synthetic Aperture Radar, Munich, 23.04.2024-26.04.2024. VDE. https://ieeexplore.ieee.org/abstract/document/10659438


Conference Paper (unpublished)

Akbari V, Datta A, Bhowmik D, Marino A, Kumar S, Rupavatharam S, Prabhu GN, Kleczkowski A, R. P. Sujeetha JA & Maharaj S (2022) Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India. Bostater CR (Editor) & Neyt X (Editor) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2022, Berlin, Germany, 05.09.2022-08.09.2022. https://doi.org/10.1117/12.2639004


Conference Paper (published)

Akbari V, Simpson M, Maharaj S, Marino A, Bhowmik D, Prabhu GN, Rupavatharam S, Datta A, Kleczkowski A & Sujeetha JARP (2021) Monitoring Aquatic Weeds In Indian Wetlands Using Multitemporal Remote Sensing Data With Machine Learning Techniques. In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. International Geoscience and Remote Sensing Symposium (IGARSS), Belgium, 12.07.2021-16.07.2021. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553207


Conference Paper (published)

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