September 25, 2026 article Open access A spatially robust and explainable machine learning framework for 100 m grid-level estimation of urban PM2.5 and PM10 using multi-source earth observation data Remote Sensing Applications Society and Environment DOI: 10.1016/j.rsase.2026.102285 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China 2022 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access 25 citations 1 result