Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

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

Session:

WE3.R14: Geo-physical Parameter Estimation via Machine Learning Oral

Location:

Room E

Presentation Time:

Wed, 19 Jul, 13:24 - 13:36 Pacific Time (UTC -8)

Session Chair:

Silvia Liberata Ullo, University of Sannio

Session Manager:

Ayoti Banerjee

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