🌟We are delighted to announce the winners of the Fifth IEEE GRSS Student Grand Challenge, focusing on "End-to-End Remote Sensing Applications Based on Unmanned Vehicles," which was announced in October 2024. The challenge received an unprecedented 32 outstanding proposals, reflecting the growing interest and innovation in this field. 🔹Real-time Disaster Response with Edge AI on UAVs Wuhan University, China Led by Prof. Bo Du 🔹Development of an Autonomous IoT-based UAV for Real-Time Detection and Mapping of Environmental Hazards in Remote Regions The Federal University of Technology, Nigeria Led by Prof. Joseph Sunday Ojo 🔹HexaAgro: AI-Driven Hexacopter for Precision Pest Management and Eco-Friendly Agriculture University of Engineering and Management, India Led by Dr. Subhajit Das 🔹Unlocking Forest Vital Signs: High Spatiotemporal VOD Mapping at Large Scales Fusing GNSS-T and LiDAR Data University of Georgia, USA Led by Prof. Mehmet Kurum 🔹Unmanned System for Profiling Air Pollutants and Atmospheric Parameters: A Complete Framework for Onboard Processing and Real-Time Data Analysis IIT Indore, India Led by Dr. Saurabh Das 🔹Innovative Nodes for Tracking Emissions and Guarding Remote Sensing Bands Integrity (INTEGRITY) Universitat Politècnica de Catalunya, Spain Led by Prof. Juan Ramos The endorsing professors and student team leaders will be contacted shortly to commence project activities. For more information about the challenge, please visit the IEEE GRSS website here: loom.ly/ZiAp9A8 #IEEE #GRSS #IEEEGRSS #RemoteSensing #StudentGrandChallenge
