deepTerra -- AI Land Classification Made Easy
This addresses the need for easier land classification for researchers and practitioners, but it is incremental as it builds on existing methods without major breakthroughs.
The paper introduces deepTerra, a platform that tackles the problem of land surface classification by providing an integrated workflow using machine learning and satellite imagery, resulting in streamlined processes for data handling, training, and prediction.
deepTerra is a comprehensive platform designed to facilitate the classification of land surface features using machine learning and satellite imagery. The platform includes modules for data collection, image augmentation, training, testing, and prediction, streamlining the entire workflow for image classification tasks. This paper presents a detailed overview of the capabilities of deepTerra, shows how it has been applied to various research areas, and discusses the future directions it might take.