Yerin Studio — Coming Soon

Classify land cover in my Riau AOI for 2025 with Random Forest, MapBiomas colors

Catalog

Sentinel-2 SRLandsat 8/9CHIRPS rainfallMODIS NDVICopernicus DEMMapBiomas ID

Generated code

s2 = (studio.collection("sentinel-2-sr") .bounds(aoi) .dates("2025-01-01", "2025-12-31") .mask_clouds() .median()) rf = studio.classifier.random_forest(trees=100) lulc = rf.train(samples, bands=S2_BANDS) .classify(s2) studio.map.add(lulc, style="mapbiomas-id") studio.stats.area(lulc, by="district")

Map

ForestPlantationAgricultureMixed cropsWaterBuilt-up

Design preview. The final product may look different.

What we're building

Satellite analysis without the setup

Ask, don't script

Plain language in, reproducible code out. Open the code and edit it yourself whenever you want.

Data ready to use

Sentinel, Landsat, rainfall, elevation, and land cover datasets, with no downloading.

Open by design

Built on open STAC catalogs and cloud-optimized formats. Export to GeoTIFF, GeoPackage, or your own storage.

Roadmap

Where Studio is today

Dates are targets, not promises. We'll update this page as we go.

✓

Earth Engine prototypes

Spectral Explorer, LULC classifier, and CHIRPS RainMapper proved the workflows people actually need.

Map + catalog core In progress

Web map, dataset catalog, and AOI management on open STAC data.

Yerin writes the code

Plain-language requests turned into code you can read, edit, and re-run.

Private alpha

First users from the waitlist. Forestry and land cover use cases first.

Public beta

Sharing, team workspaces, and export to QGIS, Power BI, and Tableau.

Be first in line for Studio.

We'll email you once when the private alpha opens. No spam.