Cropland Phenology Monitoring Based On Cloud-computing Platforms

Monitoring cropland phenological and seasonal dynamics is essential for sustainable agricultural production and global food security. Earth observation data helps to acquire phenology-related information frequently and on any place on Earth, enabling to trace crop development. Google Earth Engine (GEE) is an attractive high-performance platform, ingesting diverse machine learning algorithms to retrieve multidate cropland information, consistently acquired with sun-synchronous satellite data. Introducing advanced image processing algorithms in cloud-computing environments, such as machine learning regression models and phenology detection methods, will open up capabilities for delivering unprecedented seasonal cropland monitoring services applicable anywhere and anytime in the world. Alternative cutting edge platforms, such as Amazon Web Services (AWS), are also available.