AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Improving Sentinel-5P Imagery Usability Through Machine Learning Gap-Filling
Abstract. Satellite-based air quality monitoring, particularly using Sentinel-5P (S5P) TROPOMI observations of NO2 and SO2, provides high-resolution global coverage but is substantially affected by spatio-temporal data gaps. These discontinuities, caused by cloud cover, surface reflectance, viewing geometry constraints...
From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation
Geospatial foundation models provide reusable representations of satellite imagery that support downstream mapping with limited task-specific modelling. We evaluate whether annual AlphaEarth embeddings support binary cultivated-versus-non-cultivated mapping in Maine, USA, using 192 spatially separated patches and label...