Cloud geospatial platforms inverted the old workflow: instead of downloading imagery to your computer, you send your analysis to the imagery. Google Earth Engine pioneered the model — petabytes of Landsat, Sentinel and climate archives sitting beside massive parallel compute, scriptable from a browser. Microsoft’s Planetary Computer, AWS open-data registries and cloud-native standards (COG, STAC) generalised it. Continental time-series analysis went from institutional moonshot to afternoon script.
What the model changes
The bottleneck of large-area Earth observation was always data logistics: finding, downloading, storing and preprocessing thousands of scenes. Platforms erase it — archives are pre-ingested, corrected collections indexed by space, time and metadata, and computation parallelises transparently across whatever your query touches.
The result is qualitative: global forest change, continental water dynamics and decadal urbanisation studies now run as scripts, with iteration cycles of minutes.
The cloud-native building blocks
Two open standards carry the ecosystem beyond any single vendor. Cloud-Optimised GeoTIFF (COG) lets clients stream exactly the pixels they need from object storage; STAC (SpatioTemporal Asset Catalog) standardises how imagery collections are described and searched. Together they make any bucket of imagery behave like a queryable archive.
On top ride open tooling — xarray/dask pipelines, openEO, tile servers — and commercial APIs, giving teams a spectrum from managed platforms to self-hosted stacks.
Choosing and using wisely
Earth Engine excels at rapid multi-temporal analysis over public archives, with quotas and licensing to respect for commercial use. Generic cloud plus COG/STAC offers full control and cost transparency for production systems. Hybrid patterns are common: prototype on a platform, industrialise as pipelines.
The enduring skill is unchanged: knowing what the sensors mean. Platforms amplify analysis; they do not substitute for understanding it.
Frequently asked questions
Is Google Earth Engine free?
Free for noncommercial research and education; commercial use runs through paid tiers. Quotas apply either way, and imagery licences remain those of the underlying datasets.
What are COG and STAC in one sentence each?
COG is a GeoTIFF arranged so clients can stream just the needed portion over HTTP; STAC is a standard JSON catalogue format that makes imagery collections searchable by space, time and properties.
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