● 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.
Hänsch, Silvia Liberata Ullo and Claudio Persello (Guest Editors)