A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data

arXiv:2404.09415v1 Announce Type: cross
Abstract: Dust storms are associated with certain respiratory illnesses across different areas in the world. Researchers have devoted time and resources to study the elements surrounding dust storm phenomena. This paper reviews the efforts of those who have investigated dust aerosols using sensors onboard of satellites using machine learning-based approaches. We have reviewed the most common issues revolving dust aerosol modeling using different datasets and different sensors from a historical perspective. Our findings suggest that multi-spectral …

abstract algorithms arxiv cs.cv cs.lg data detection dust machine machine learning machine learning algorithms paper physics.ao-ph researchers resources review reviews satellite sensors storm study type world