GeoEnviroSense Research Group

The group originated from the Geoinformatics Research Centre (GRC), established in 2009, where Dr Akbar Ghobakhlou was one of the founding members. The group develops methods that integrate satellite and drone imagery, computer vision, bioacoustics and IoT sensor networks for applications in biodiversity monitoring, precision agriculture, disaster risk reduction and environmental forecasting.

GES continues this trajectory, combining geospatial science with advances in artificial intelligence, machine learning and sensor innovation to address contemporary environmental challenges through rigorous academic inquiry.

GES research activities span:

• Modelling and analysis of extreme weather events
• Development of AI methods for plant disease detection
• Design of bioacoustic and sensor-based systems for biodiversity monitoring
• Application of computer vision and machine learning in precision agriculture

Through interdisciplinary collaboration and open scholarship, GES contributes to methodological innovation and deeper understanding of environmental systems at multiple scales.

• AI for earth observation
  Development of deep learning and computer vision methods for analysing satellite, drone and aerial imagery to monitor land use, vegetation health and climate-related phenomena.
• Edge AI & sensor networks
  Exploration of low-power, field-deployable IoT and sensor systems to enable continuous monitoring of ecological and environmental processes.
• Environmental forecasting
  Application of time-series modelling and AI methods for forecasting climate extremes, air quality and ecological dynamics.
• Precision agriculture
  Research into data-driven methods for sustainable farming, including micro-climate monitoring, sensor fusion and remote sensing, AI-based early detection of plant stress and disease to support targeted interventions.
• Biodiversity and conservation science
  Use of bioacoustic monitoring, sensor technologies and AI to detect and track species, monitor invasive populations, and assess ecosystem health.