Project
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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
Senior Lecturer, Computing Science
Associate Professor, Biological and Environmental Sciences
Lect in Artificial Intelligence/Data Sci, Computing Science and Mathematics - Division
Conference Paper (unpublished)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
Article
Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery
Simpson MD, Akbari V, Marino A, Prabhu GN, Bhowmik D, Rupavatharam S, Datta A, Kleczkowski A, Sujeetha JARP, Gunjotikar Anantrao G, Kampurath Poduvattil V, Kumar S, Maharaj S & Hunter PD (2022) Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery. Remote Sensing, 14 (12), Art. No.: 2845. https://doi.org/10.3390/rs14122845
Conference Proceeding
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 Proceeding
Monitoring water hyacinth in Kuttanad, India using Sentinel-1 SAR data
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
Review
Monitoring the spread of water hyacinth (Pontederia crassipes): challenges and future developments
Datta A, Maharaj S, Prabhu GN, Bhowmik D, Marino A, Akbari V, Rupavatharam S, Sujeetha JAR, Anantrao GG, Poduvattil VK, Kumar S & Kleczkowski A (2021) Monitoring the spread of water hyacinth (Pontederia crassipes): challenges and future developments. Frontiers in Ecology and Evolution, 9, Art. No.: 631338. Biogeography and Macroecology, Invaders on the Horizon! Scanning the Future of Invasion Science and Management. https://doi.org/10.3389/fevo.2021.631338