Collaboration with International Crops Research Institute for the Semi-Arid Tropics, National Institute of Plant Health Management (India), Sanatana Dharma College - Centre for Research on Aquatic Resources 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.
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
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