16 - 21 July, 2023
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Summer School
International Geoscience and Remote Sensing Symposium
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Session WE3.R14
Paper WE3.R14.5
WE3.R14.5
TROPICAL CYCLONE INTENSITY PREDICTION BY SPECTRAL-TEMPORAL DISLOCATION AND ATTENTION-BASED NETWORKS
Yahui Xiu, Zhao Chen, Donghua University, China; Xinyang Pu, Fudan University, China; Haixia Bi, Xi’an Jiaotong University, China; Feng Xu, Fudan University, China
Session:
WE3.R14: Geo-physical Parameter Estimation via Machine Learning
Oral
Track:
AI and Big Data
Location:
Room E
Presentation Time:
Wed, 19 Jul, 13:48 - 14:00 Pacific Time (UTC -8)
Session Chair:
Silvia Liberata Ullo, University of Sannio
Session Manager:
Ayoti Banerjee
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Session WE3.R14
WE3.R14.1: MULTI-SPECTRAL SUPER-RESOLUTION OF THERMAL INFRARED DATA PRODUCTS FOR URBAN HEAT APPLICATIONS
Christian Mollière, Julia Gottfriedsen, OroraTech GmbH, Germany; Patricio Massaro, Christian Soraruf, LMU Munich, Germany; Martin Langer, OroraTech GmbH, Germany; Matthias Schubert, LMU Munich, Germany
WE3.R14.2: TERRESTRIAL VISUAL DUST DENSITY ESTIMATION BASED ON DEEP LEARNING
Andreas Michel, Fraunhofer IOSB, Germany; Martin Weinmann, Karlsruhe Institute of Technology, Germany; Fabian Schenkel, Fraunhofer IOSB, Germany; Tomas Gomez, Mark Falvey, Rainer Schmitz, Meteodata, Chile; Wolfgang Middelmann, Fraunhofer IOSB, Germany; Stefan Hinz, Karlsruhe Institute of Technology, Germany
WE3.R14.3: USE OF DEEP LEARNING METHODS TO IMPROVE MIRS PRECIPITATION RETRIEVAL
Shuyan Liu, Colorado State University, United States; Christopher Grassotti, University of Maryland-College Park, United States; Quanhua Liu, NOAA, United States
WE3.R14.4: A MACHINE LEARNING APPROACH TO LONG-TERM DROUGHT PREDICTION USING NORMALIZED DIFFERENCE INDICES COMPUTED ON A SPATIOTEMPORAL DATASET
Veronica Wairimu Muriga, Benjamin Rich, Massachusetts Institute of Technology (MIT), United States; Francesco Mauro, University of Sannio, Italy; Alessandro Sebastianelli, European Space Agency, Italy; Silvia Liberata Ullo, University of Sannio, Italy
WE3.R14.5: TROPICAL CYCLONE INTENSITY PREDICTION BY SPECTRAL-TEMPORAL DISLOCATION AND ATTENTION-BASED NETWORKS
Yahui Xiu, Zhao Chen, Donghua University, China; Xinyang Pu, Fudan University, China; Haixia Bi, Xi’an Jiaotong University, China; Feng Xu, Fudan University, China
Resources
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