ASSESSMENT OF WORKFLOW FEATURE SELECTION ON FOREST LAI PREDICTION WITH SENTINEL-2A MSI, LANDSAT 7 ETM+ AND LANDSAT 8 OLI

Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI

The European Space Agency (ESA)’s Sentinel-2A (S2A) mission is providing time series that allow the characterisation of dynamic vegetation, especially when combined with the National Aeronautics and Space Administration (NASA)/United States Geological Survey (USGS) Landsat 7 (L7) and Landsat 8 (L8) missions.Hybrid retrieval workflows combinin

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Novel Characterization Of Thermal Temporal Summation Response By Analysis Of Continuous Pain Vs Time Curves And Exploratory Modeling

Jiang-Ti Kong,1 Epifanio Bagarinao,2 Richard A Olshen,3 Sean Mackey1 1Department Of Anesthesiology, Perioperative And Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; 2Brain And Mind Research Center, Nagoya University, Nagoya, Japan; 3Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford,

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