A cloud-based geospatial research platform combining R, Google Earth Engine, and machine learning for land-cover classification, trend detection, and statistical analysis — built for researchers, planners, and GIS professionals.
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Maker
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Hey Product Hunt 👋
I built Spatial Research Suite because I kept seeing the same gap: researchers and planners who needed real satellite-based analysis (land cover classification, trend detection, zonal statistics) but didn't want to set up a Python/GEE development environment or pay for expensive desktop GIS licenses.
The thing I'm most proud of: every classification result comes with a genuine held-out validation accuracy — not training accuracy computed on the same data the model trained on (a common shortcut that inflates numbers). If you're going to cite a result, it should hold up.
Would love feedback from anyone working with satellite data, remote sensing, or spatial analysis — what would make this more useful for your workflow?