FARMING · HOW THE API WORKS

Farming

A coordinate on a field.A crop-viability answer.

PART 01

How and where it can be used?

The everyday farming jobs the score is used for.

15 REAL SITUATIONS

Fifteen everyday farming decisions this score is used for.

Buying or leasing new acreage

Before signing, check whether the plot actually holds moisture and grows well, instead of trusting the seller's photos.

Approving a farm loan

A lender gets an instant, defensible read on the land pledged as collateral without sending anyone to the village.

Pricing a crop insurance policy

Set the premium on a parcel at quote time, so good land is not charged the same as marginal land.

Settling a drought claim

See whether the field really dried out, and when, before paying or rejecting a claim.

Choosing what to plant

Match local heat, rainfall and slope to the crop, so a water-hungry crop is not planted on a dry, sloped plot.

Planning irrigation or drainage

Find out if the field needs pumping, gravity-fed channels, or drainage before spending on pipework.

Ranking a portfolio of farms

A fund or agri-business scores every parcel it owns on the same axis and sees which ones are slipping.

Checking a supplier's farm

Verify that the farm behind a shipment is real, cultivated and not degraded or converted land.

Targeting agronomy visits

Send advisors and input dealers to the fields showing stress first, instead of driving to everyone.

Government relief and subsidy targeting

Compare crop condition district by district to decide where drought relief or irrigation money should go.

Seed variety selection

Pick heat-tolerant or short-duration varieties based on the actual thermal season and moisture reserve at the plot.

Harvest timing planning

Use thermal accumulation and moisture stress to time harvest and reduce post-harvest loss.

Microfinance loan screening

Give smallholder lenders a fast, objective view of the land backing a tiny seasonal loan.

Export readiness checks

Confirm the plot is cultivated, not waterlogged or built over, before adding it to a certified export supply chain.

Land rehabilitation tracking

Re-score the same degraded plot each season to prove improvement to investors or regulators.

PART 02

What's new?

The legacy pre-construction workflow, and what Rootfifteen actually replaces.

TRADITIONAL VS ROOTFIFTEEN

How this was done before — and what changes.

Task

Traditional (before)

With Rootfifteen

Getting a viability read

Send an agronomist to the plot and wait for a visit slot.

One API call returns a viability score in seconds.

Coverage

Only farms your field team can physically reach.

Any coordinate on Earth, including plots you will never visit.

Crop-stress detection

Reported after yield loss is already visible.

NDVI and NDMI expose stress while the canopy is still standing.

Underwriting evidence

A narrative PDF with photographs and opinion.

A reproducible number plus component sub-scores you can audit.

Portfolio scale

Sampling a handful of representative parcels.

Score every parcel in the book on the same axis, overnight.

Repeatability

Two agronomists, two different verdicts.

The same coordinate always returns the same score.

Cost per check

Travel, labour, equipment, report writing.

A fraction of a site visit, per coordinate.

Seconds, not weeks

A live read while you are still in the meeting.

Any coordinate on Earth

No site visit, no imagery contract.

Fully explainable

Every score breaks down into measured values.

PART 03

How it works?

You send a coordinate. We read live satellite and climate data. You get one score back.

THE FLOW

Five steps, every request.

01
Input
lat / lng + mode: farming
02
Observe
Live pixel + climate sampling
03
Derive
Indices and stress signals
04
Fuse
Weighted, deterministic model
05
Output
0–100 score + band + components

Same coordinate → same score, every time.

Built on open Sentinel-2, Copernicus DEM, NASA POWER and USGS data — read live at your coordinate, never copied from a nearby area.

DATA SOURCES

Four open data streams, one score.

Sentinel-2 L2A

10–20 m multispectral imagery for vegetation, water and surface indices.

Copernicus DEM GLO-90

~90 m global elevation for slope, relief and terrain shape.

NASA POWER

Temperature, rainfall and solar regime at the coordinate, not a regional average.

USGS Earthquake Catalog

Recorded seismic events within 200 km over the last five years.

INPUTS

Three fields in. That is the whole input.

latnumber

Latitude in decimal degrees, −90 to 90. The exact point of the field, plot centroid or sample location.

lngnumber

Longitude in decimal degrees, −180 to 180.

mode"farming"

Tells the model which decision you are making. Farming mode weights surface vigour and climate most heavily.

REQUEST

POST /api/public/v1/land-intel/assess
{
  "latitude": 12.9716,
  "longitude": 77.5946,
  "mode": "farming"
}

RESPONSE

200 OK
{
  "status": "ok",
  "engine": "land-intel.v1",
  "mode": "farming",
  "rootfifteenScore": 74.2,
  "classification": "Healthy",
  "components": {
    "surface": 78,
    "climate": 71,
    "terrain": 82,
    "georisk": 90
  },
  "observations": {
    "ndvi": 0.62, "ndmi": 0.21,
    "ndwi": -0.18, "ndbi": -0.09,
    "elevationM": 912, "slopePercent": 1.8,
    "meanTemperatureC": 24.1,
    "annualPrecipitationMm": 921
  },
  "verticalMetrics": [
    { "key": "canopy vigour",
      "label": "Canopy vigour",
      "value": 25.4, "display": "25.4 / 100",
      "band": "Bare or degraded ground" }
  ],
  "generatedAt": "2026-07-11T12:04:22Z"
}

THE OUTPUTS

What you get back.

Exactly what the live demo report shows for a coordinate:

1The Rootfifteen score, 0–100, for the exact coordinate.
2The classification band that goes with it, from Optimal to Degraded.
3Four component sub-scores: surface, climate, terrain and georisk.
4Farming indicators: canopy vigour, root-zone moisture, irrigation dependence, thermal season, waterlogging risk, topsoil erosion risk, mechanisation suitability and sealed surface.
5Every raw measured value behind those indicators, exactly as the API returns it.
6A written summary of what the numbers mean for the plot.
7A PDF of the whole report.

Try the live demo

WHAT THE NUMBER MEANS

What the number means.

Every response carries a classification alongside the score. The score ranges from 0 to 100; these are the exact bands the API returns for farming.

Score

Classification

What to do

80–100

Optimal

Greenlight for high-value cropping and the cleanest insurance tiers.

65–79

Healthy

Plant with standard agronomy; no mitigation required.

50–64

Perturbation

Lean toward drought-tolerant cultivars and tighten advisory cadence.

35–49

Elevated stress

Refer for review. Avoid input-heavy programmes on this parcel.

0–34

Degraded

Not viable for annual cropping. Exclude or rehabilitate first.

≤ 8

Water body

Coordinate falls on open water — never returned as farmable land.

NEXT STEP

Now try it in your own stack.

Tell us what you are building and we will send you endpoint docs, a key, and limits that fit your use case.