Dataset Card for Amfitrite Inland Waters HAB Sentinel2 This dataset contains multispectral Sentinel 2 satellite imagery tiles focused on inland water bodies, classified by the severity of Harmful Algal Blooms (HABs). It is designed to train Deep Learning models (like CNNs) for environmental monitoring. Dataset Details Dataset Description Amfitrite Inland Waters HAB Sentinel2 is a specialized dataset designed for the detection and classification of Harmful Algal Blooms (HABs) in inland water bodies (lakes, reservoirs, and rivers). The dataset consists of multispectral image tiles derived from Sentinel 2 satellite imagery. The CyFi tool was used to predict the class of the HAB in selected pixels labeled as water by the Sentinel 2 L2A Scene Classification Map (SCL band). These predictions in combination with the Cyanobacteria Aggregated Manual Labels (CAML) cyanobacteria abundance dataset were used to generate an indicative classes namely “High”, “Moderate” and “Low". The dataset includes raw spectral bands, water masks and metadata with abundance metrics for 4698 such cases. This work supports the dAIEDGE project's goal of enabling distributed, trustworthy and efficient AI at the edg…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy