Sentinel Hub turns satellite imagery from a download-and-process workflow into a streaming service. Instead of searching for scenes, downloading raw files, and running local processing pipelines, you request a specific area, date range, and band combination through an API and get back a processed result — computed on the fly on Sentinel Hub's servers. This is a fundamentally different model from data portals like Copernicus Data Space or USGS Earth Explorer, which give you raw scenes to handle yourself.
For applications that need on-demand satellite imagery — web dashboards, monitoring systems, or any workflow where you're serving imagery to end users — Sentinel Hub provides the processing layer that sits between raw archives and usable output.
The platform normalizes access across multiple missions (Sentinel-1, Sentinel-2, Landsat, MODIS, Sentinel-5P) through a single API, and evalscripts let you define custom server-side processing — spectral indices, composites, cloud masks, classification logic — without any local compute. The free EO Browser provides a no-code entry point for visual exploration and GeoTIFF export.
For GIS professionals, Sentinel Hub is most valuable when the workflow involves repeated, automated access to satellite imagery rather than one-off scene downloads: precision agriculture monitoring, time-series vegetation tracking, or near-real-time flood and fire mapping where speed from observation to visualization matters. Standard OGC services (WMS/WCS) make it connectable to QGIS, ArcGIS, Atlas, and web mapping applications.
