Smart Farming is driving a revolution in agriculture, aiming at more productive and sustainable production through precise and resource-efficient decision making, with additional applications in forest and rangeland management. Remotely sensed Big Data from satellite, small unmanned aerial, airborne, in situ and proximal systems, brings both challenges and opportunities which requires high spatial resolution and near real-time mapping capabilities. Success in crop health monitoring, stress identification, soil mapping, fertilizer and irrigation advisories, yield prediction, ecosystem services, and more have been achieved. This session seeks contributions across government, university, private, and nonprofit organizations. It focuses on research methodologies and applications for the use of high spatial resolution or high temporal frequency remotely sensed Big Data for Smart Farming and land management applications. We invite your findings throughout the chain of data collection, storage, transfer, transformation, analytics and discuss how to achieve the goal of more productive and sustainable agriculture production