Abstract

Recently, remote sensing for traffic and especially aviation meteorology has become a focus of attention by the aviation industry and air navigation services [...]

Highlights

  • Remote sensing for traffic and especially aviation meteorology has become a focus of attention by the aviation industry and air navigation services

  • In order to increase the capacities of airports and airspace, methods for seamless and optimized operation of airlines, airports, and air navigation service providers require direct integration of meteorological data into their respective systems

  • Pilots are enabled to base their decisions on an improved database which can be visualized on their electronic flight bags and are not limited to onboard radar systems and bulletins in traditional alphanumeric code anymore

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Summary

Introduction

Remote sensing for traffic and especially aviation meteorology has become a focus of attention by the aviation industry and air navigation services. In order to increase the capacities of airports and airspace, methods for seamless and optimized operation of airlines, airports, and air navigation service providers require direct integration of meteorological data into their respective systems. Will the spatial and temporal resolution increase notably and new instruments like lightning sensors will enable 24/7 weather surveillance and nowcasting of weather phenomena like thunderstorms, aircraft icing conditions, and turbulence. The special issue reflects this trend, as all four submitted papers deal with satellite remote sensing, while two of them apply machine learning and the other two utilize new methods in a more traditional context yet still progressive fashion.

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