Sentinel-5P (S5P) plays a central role in global atmospheric and environmental monitoring, yet its coarse spatial resolution limits the analysis of localized emission sources and sharp concentration gradients. Super-resolution (SR) methods have been proposed to address this limitation, but most existing approaches rely on paired low- and high-resolution data that are unavailable for S5P, restricting their applicability in real-world settings.

Radopholus Similis (R. Similis) or burrowing nematode, is one of the most damaging and widespread nematodes attacking bananas, causing toppling or blackhead disease. A mathematical model for the population dynamics of R. Similis is considered, with the aim of investigating the impact of climatic factors on the growth of R. Similis. In this paper, based on the life cycle of R. Similis, we first propose a mathematical model to study and control the population dynamics of this banana pest.