The Indian Institute of Distant Sensing has awarded a capacity-building mission to the Kerala College of Fisheries and Ocean Research specializing in Geospatial insights for landslide mapping and mitigation.
Underneath this initiative, the Division of Local weather Variability and Aquatic Ecosystems at Kufos will arrange a ten-day national-level coaching programme in March, delivering superior lectures and cutting-edge applied sciences in GIS, Synthetic Intelligence (AI), and Machine Studying (ML) for landslide mitigation.
The chosen researchers and scientists from throughout the nation will take part within the coaching programme led by Girish Gopinath, Head of the Division of Local weather Variability and Aquatic Ecosystems.
The programme will particularly handle landslide mitigation challenges each throughout the state and nationally. Eminent audio system from numerous nationwide and state institutes, such because the Nationwide Distant Sensing Centre (NRSC) in Hyderabad, ISRO-Area Functions Centre (SAC) in Ahmedabad, Indian Institute of Science Training and Analysis (IISER) in Mohali, CUSAT, MG College, and the College of Kerala, will ship lectures on landslides.
The coaching will even embrace one-day subject visits to the closest landslide places, permitting individuals to conduct subject research and observations on Kerala landslides.
T. Pradeepkumar, Vice-Chancellor, Kufos emphasised this system’s particular relevance to Kerala, contemplating the latest challenges posed by a sequence of landslides within the state. The incessant heavy rainfall, typical throughout the monsoon season, has triggered soil erosion, resulting in quite a few landslides throughout the state. The steep terrain and densely populated areas exacerbate the influence, inflicting widespread injury to properties, infrastructure, and disrupting transportation networks. As native authorities actively interact in aid efforts, there’s a rising concentrate on long-term methods for sustainable land administration to safeguard towards future incidents on this weak area. ‘
