● Zero Hunger (SDG 2): Monitoring of agricultural lands, Crop Type Mapping, Delineation of agriculture field boundaries, crop classification, Estimating crop yield, Land Use – Land Cover Classification, Land use –Land cover change detection
● Good Health and Well-Being (SDG 3): Forecast/Monitoring the spread of diseases, such as malaria, dengue, etc, Eradication of Diseases in Poor Countries, and actions for reaching Global Health based on machine learning and remote sensing techniques
● Sustainable Cities and Communities (SDG 11): Monitoring Urban Settlements through Multi-modal Remote Sensing Image Analysis, Building Segmentation, Road Network Extraction, and Coastal Plain Wetland Classification.
● Climate Action (SDG 13): Machine Learning for climate change mitigation, Machine learning for climate change adaptation
● Life on Land (SDG 15): Sustainable forest management, detection, monitoring, and forecasting of natural disasters (Wildfires, Floods, Landslides, etc.)., wildlife conservation.
● Any other application of machine learning for remote sensing images with a clear contribution to one of the SDGs

All submissions will be peer-reviewed according to the IEEE GRSL guidelines. Submitted articles should not have been published or be under review elsewhere. Submit your manuscript on mc.manuscriptcentral.com/grsl, using the Manuscript Central interface, and select the “Special Stream on Machine Learning in Remote Sensing towards the Sustainable Development Goals” manuscript type.