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342 * ! | Tue, 8/11/2015, 10:30 AM - 12:20 PM | CC-214 | |
Statistical Methods for Remote Sensing Data — Topic Contributed Papers | |||
Quality and Productivity Section , Section on Physical and Engineering Sciences , Section on Statistics and the Environment | |||
Organizer(s): Amy Braverman, Jet Propulsion Laboratory | |||
Chair(s): Snigdhansu Chatterjee, University of Minnesota | |||
10:35 AM | Using the Wild Bootstrap Method on Wavelet-Decomposed Climate Time Series — Megan Heyman, University of Minnesota ; Snigdhansu Chatterjee, University of Minnesota ; Amy Braverman, Jet Propulsion Laboratory ; Noel Cressie, University of Wollongong | ||
10:55 AM | Spatial and Temporal Data Fusion for Remotely Sensed Albedo Products — Elizabeth Mannshardt, North Carolina State University ; Brian J. Reich, North Carolina State University ; Jessica Matthews, NOAA National Climatic Data Center | ||
11:15 AM | Statistical Analysis of Remote Sensing Data Sets Using Basis-Function Representations — Matthias Katzfuss, Texas A&M University | ||
11:35 AM | Predicting Meteorological Fields: Parallelization for Near Real-Time Forecasting Using Bayesian Hierarchical Models — Dorit Hammerling, National Center for Atmospheric Research ; Matthias Katzfuss, Texas A&M University | ||
11:55 AM | Discussant: Amy Braverman, Jet Propulsion Laboratory | ||
12:15 PM | Floor Discussion |
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