The key benefits of the proposed solutions for remote sensing and data evaluation will also be reflected in this new workspace, with an emphasis on improving professional information provision with meteorological data for flight crews and air traffic controllers, to maintain a high standard of safety for both air traffic and flight management. Remote access may enable more efficient use of available human resources, improve employee workload management, and improve work organization up to the so-called home office for selected professions that are and remain the challenges in the current pandemic period, but also for the post-COVID-19 period. The proposed solution has the potential to improve the decision-making processes of meteorologists and to reduce the scope for human error and subjective data evaluation. Finally, it may allow for a more efficient use of funds for the provision of this service and for professional staff, but also for the required infrastructure. We expect to see application examples of the impacts of innovative digital approaches in the reduction of the number of real buildings for air traffic control and in the reduction of finances for their operation, maintenance, and modernization, etc. Such application impacts can also be expected in connection with the infrastructure for the provision of aeronautical meteorological service at small, regional airports, etc., where remote access will be implemented. The information can be shared not only by air transport but also for the benefit of general aviation, thus expanding the application area of remote access users of the aeronautical meteorological service. In this paper, the focus is set on a novelty approach to visibility assessment and cloud observations, for several reasons. Good visibility, both in horizontal and vertical directions, is a crucial element in the safety of all kinds of transport (road, sea, or air) as low visibility may result in fatal accidents. It is especially important in aviation when the aircraft is maneuvering on or near the ground. Similar considerations are also valid for significant cloud layers, usually below 1500 m (5000 ft), or below minimum sector height, whichever is greater [1]. Nevertheless, both visibility and cloud observations, regardless of whether they are observed at large airports or smaller ones, are associated with several weaknesses, e.g. :  
Figure 1: Categorization of the basic meteorological variables to those easily replaceable by automatization (**left panel**) and to those where human observers are still highly valuable (**right panel**). Subjective character of observations. Cloud coverage and visibility are estimated by human observers, and, thus, the objectivity of the observations cannot be guaranteed. Even two professional and experienced observers may evaluate a given meteorological situation in a slightly different manner. * Immediate nature of the phenomena. Cloud coverage and visibility are meteorological variables that are estimated instantaneously, and no visual records of the current meteorological conditions are taken. This may, however, be a problem, for instance in the case of an investigation of the meteorological circumstances of an aircraft accident. * No obstacle-free view. It happens often that the meteorological observatory is surrounded by buildings, trees, or other natural or man-made objects that limit the obstacle-free view of the observers in all the possible directions. Automated sensors are able to overcome some of the aforementioned issues; however, they also have their own deficiencies, as will be discussed below. Cloud coverage has long been estimated only by human observers. The advantage of such a traditional approach is that a human observer can perceive the whole sky, and thus, is able to estimate the cloud coverage. Conversely, the most significant drawback of this method stems in the degree of the related subjectivity, as mentioned above. Beyond this, there are further limitations of human observations.