Available
Agricultural area
Estimated cultivated hectares inside the PIN AOI with optical index statistics.
PIN-code based agricultural intelligence for India
One PIN code,a complete agricultural picture.
Enter the 6-digit PIN code of any Indian locality and get the agricultural area, estimated number of fields and the satellite indices behind them — computed from Sentinel-1 and Sentinel-2 imagery over that exact boundary.
- PIN boundary intersected with village and ward polygons
- Optical NDVI / EVI / NDWI fused with radar backscatter
- Field estimates with source and confidence metadata
What the pipeline returns
10 m
Optical resolution
Sentinel-2 L2A native ground sampling distance
90 days
Observation window
Default lookback used for the fused agricultural mask
S1 + S2
Radar + optical
RTC backscatter and vegetation indices combined
3
Field sources
Cadastral, hybrid and satellite-derived boundaries
Results are cached for 7 days and every metric carries a source, data type and confidence score, so estimates are never mistaken for ground truth.
Sentinel-2 L2A
Optical indices
Sentinel-1 RTC
Radar backscatter
PostGIS
Boundary geometry
Planetary Computer
STAC catalogue
Analysis modules
From area estimation to per-field crop intelligence
The platform is built in phases. Area and field detection are live today; crop classification, phenology, irrigation and crop health build on the same field-level satellite time series.
Available
Field detection
Cadastral-plus-satellite field polygons, with count, average size and total area.
Roadmap
Crop classification
Per-field crop type models trained on field-level satellite time series.
Roadmap
Crop stage & phenology
Growth stage and harvest-window estimation from vegetation index curves.
Roadmap
Irrigation status
Irrigated versus rainfed classification using radar, rainfall and soil moisture.
Roadmap
Crop health
Stress classification into healthy, moderate and high stress categories.
Capabilities
Everything the platform computes for a PIN code
Each capability maps to a phase of the pipeline, from resolving the geographic foundation to fusing optical and radar observations into field-level estimates.
PIN-code lookup
Resolve any 6-digit PIN to its boundary polygon (AOI) and the villages and wards that intersect it, computed in PostGIS.
Phase 1
Agricultural area
Sentinel-2 L2A vegetation indices fused with Sentinel-1 RTC radar observations to estimate vegetated agricultural land.
Phase 2
Field detection
Official cadastral parcels merged with satellite-derived boundaries into hybrid field polygons for the PIN.
Phase 3
Field summary
Estimated field count, average field size and total field area, filterable by cadastral, hybrid or satellite source.
Phase 3
Multi-index analytics
Mean NDVI, EVI and NDWI alongside radar VH backscatter in dB and the radar vegetation index (RVI).
Sentinel
Confidence & provenance
Every derived metric returns a source, data type and confidence score so estimates are never presented as ground truth.
Data quality
Radius intelligence
Aggregate stored fields around any latitude/longitude, with the PINs still awaiting Sentinel coverage reported back.
Spatial
Slow-job safety
Sentinel processing runs as an explicit POST job while read endpoints stay bounded, so summaries never hang a request.
Platform
How it works
Four steps from a PIN code to field-level intelligence
No coordinates, no shapefiles and no digging through scene catalogues — the PIN code is resolved to a boundary and everything else follows from there.
- 01
Enter a PIN code
The 6-digit PIN is the only input. It becomes the Area of Interest for the whole analysis.
- 02
Resolve the boundary
The PIN polygon is intersected with administrative village and ward boundaries in PostGIS.
- 03
Fuse the imagery
Sentinel-2 L2A optical indices and Sentinel-1 RTC radar observations build the agricultural mask.
- 04
Read the intelligence
Area, field estimates, index statistics and a confidence score are returned for the PIN.
Built for Indian farming conditions
Nationwide reach, honest about its limits
Fallow and recently harvested fields can still be under-counted, and radar thresholds ship as initial values. The platform reports what it measured, how it measured it and how confident it is — rather than presenting a number without context.
- Reliable estimates
- Rule-based thresholds are configurable, so the agricultural mask can be tuned per region and season before operational use.
- Wide coverage
- Works for cultivation, plantation and irrigation-related questions across different crops and field conditions.
- Comparable metrics
- Areas are measured in the same projected units everywhere, so PIN totals and radius summaries line up.
- Honest labelling
- Modelled satellite fields are marked differently from authoritative cadastral parcels in every response.
Sample reading for one PIN
An illustration of the shape of a response — the live values come from the backend for whichever PIN you analyse.
- Total PIN area
- 1,842.50 ha
- Agricultural area
- 1,214.80 ha
- Agricultural share
- 65.9%
- Estimated fields
- 612
- Average field size
- 1.98 ha
- Mean NDVI (B8/B4)
- 0.482
- Mean NDWI (B3/B8)
- 0.063
- Radar VH backscatter
- -17.40 dB
- Scenes fused
- 11
Every one of these figures travels with a source, data type and confidence field, so a UI can label estimates as estimates.
Get started
Analyse any Indian PIN code in seconds
Run a live lookup against the API for boundary resolution and field summaries, or trigger the full Sentinel-1/2 agricultural area computation for a PIN.
Backed by real imagery
Every estimate traces back to Sentinel scenes read as Cloud Optimized GeoTIFFs.
Cached for 7 days
Computed results are reused for a week unless you explicitly request a refresh.
Separates estimate from fact
Official cadastral boundaries and modelled satellite fields are labelled differently.
Nationwide reach
The same pipeline runs for a single PIN or every PIN code in a state.