Correction: Czerkawski et al. Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery. Remote Sens. 2022, 14, 1342

Cloud Cover Determination in Polar Regions from Satellite Imagery

1.0 Introduction Difficulties with Satellite Cloud Analysis in Polar Regions Objectives of this Project 1.1 1.2 Data Cloud Detection Algorithms 3.1 Classification of Clouds and Surfaces with Fuzzy Sets 3.2 Classification of Clouds and Surfaces with Neural Networks 3.3 Cloud Detection with Spatial and Temporal Coherence 3.4 Cloud Detection Following an ISCCP Methodology 4.0 Analysis of Cloud Pat...

Correction: Van Beek, J. et al. Stem Water Potential Monitoring in Pear Orchards through WorldView-2 Multispectral Imagery. Remote Sens, 2013, 5, 6647-6666

1 KU Leuven, Department of Biosystems, M3-BIORES, Willem de Croylaan 34, Leuven BE-3001, Belgium; E-Mails: [email protected] (L.T.); [email protected] (P.C.) 2 KU Leuven, Division Forest, Nature and Landscape, Celestijnenlaan 200E, Leuven BE-3001, Belgium; E-Mail: [email protected] 3 Soil Service of Belgium, Willem de Croylaan 48, Leuven BE-3001, Belgium; E-mails: p...

Correction: Hammer, J., et al. Short-Term Forecasting of Surface Solar Irradiance Based on Meteosat-SEVIRI Data Using a Nighttime Cloud Index. Remote Sens. 2015, 7, 9070-9090

Correction: Scaioni M., et al. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives. Remote Sens. 2014, 6, 9600-9652

14 Fedor et al GR.indd

This chapter summarizes the extensive discussions that took place during the Forum as well as in the subsequent months thereafter. It assesses current understanding of the neuronal mechanisms that underlie syntactic structure and processing.... It is posited that to understand the neurobiology of syntax, it might be worthwhile to shift the balance from comprehension to syntactic encoding in lan...