TH3.M2.4
DEEP LEARNING BASED FOREST BURNED AREA DETECTION
Ashritha Bugada, Kaushik Pillalamarri, Keyu Wan, Ranga Raju Vatsavai, North Carolina State University, United States
Session:
TH3.M2: Give Earth a Chance: AI Algorithms for Environmental Monitoring III Oral
Track:
Community-Contributed Sessions
Location:
Room M2
Presentation Time:
Thursday, 7 August, 14:00 - 14:15
Session Co-Chairs:
Jakub Nalepa, KP Labs / Silesian University of Technology and Agata M. Wijata, KP Labs / Silesian University of Technology
Presentation
Discussion
Resources
No resources available.
Session TH3.M2
TH3.M2.1: FewShot-AIRNET: Temporal 2D-Variation Modeling for Air Pollution Forecasting
Prasanjit Dey, Technological University Dublin, Ireland; Soumyabrata Dev, University College Dublin, Ireland; Bianca Schoen-Phelan, Technological University Dublin, Ireland
TH3.M2.2: TRACKING THE INVISIBLE ENEMY: METHANE DETECTION USING MACHINE LEARNING METHODS
Agata M. Wijata, KP Labs / Silesian University of Technology, Poland; Nicolas Longepe, European Space Agency, Italy; Jakub Nalepa, KP Labs / Silesian University of Technology, Poland
TH3.M2.3: Monitoring Volcanic Ash and SO₂ Emissions: Insights into Human Health and Environmental Risks Using Ultraviolet Satellite Observations and Machine Learning
Claudia Corradino, Alessandro La Spina, Simona Cariello, Ciro Del Negro, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Etneo, Italy
TH3.M2.4: DEEP LEARNING BASED FOREST BURNED AREA DETECTION
Ashritha Bugada, Kaushik Pillalamarri, Keyu Wan, Ranga Raju Vatsavai, North Carolina State University, United States
TH3.M2.5: A DEEP LEARNING MODEL COMBINED WITH MACHINE LEARNING FORECASTS FOR SOIL MOISTURE INTEGRATING SATELLITE AND IN SITU DATA
Jiayu Sun, Jing Qian, Bo Sun, Shuhong Peng, Xiuwei Xing, Shujie Wei, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences., China
Resources
No resources available.