Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling

Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) satellites, and electromagnetic satellites, has become an important direction in integrated satellite applications due to its ability to cope with various complex situations. In the multitype satellite observation scheduling problem ...

Three-dimensional ozone distribution based on assimilation of nadir-sounding UV-VIS satellite observations

Ozone (O3) directly and indirectly affects human health (depending on the altitude it is sometimes referred to as “good” or “bad” ozone) and has an important role in the temperature structure of the atmosphere. Because of the impact of ozone on air quality and climate change, the objective of this thesis is to improve our understanding of the...

Retrieval of Aerosol Optical Depth Over Land by Inverse Modeling of Multi-Source Satellite Data

The Aerosol Optical Depth (AOD), a measure of the scattering and absorption of light by aerosols, has been extensively used for scientific research such as monitoring air quality near the surface due to fine particles aggregated, aerosol radiative forcing (cooling effect against the warming effect by carbon dioxide CO2 ), aerosol long-term trend...

Image data security in the concept of the agricultural real time imaging satellite system (artiss)

The study on image data security is directed to the requirement for exclusive access to satellite imagery in the concept of the Agricultiiral Real Time Imaging Satellite System (ARTISS). The security assessment indicates that user survey requests are handled confidentially and it shows the access vulnerability of the transmission of image data...