Orbital Evidence / Cotton Transparency PoC
Nyx Cotton PoC for a Water-Stressed Region
A public-data prototype for a representative cotton field cluster in Bahawalpur district, southern Punjab, Pakistan. The objective is to show how satellite and climate datasets can be structured into auditable environmental intelligence for partners, business clients, and shoppers.
Pilot region
Bahawalpur, Southern Punjab
Crop window
May-October
Data basis
Sentinel-2, CHIRPS, SMAP, MODIS
Nyx role
Environmental evidence layer
This prototype demonstrates an environmental evidence layer. It does not claim a full product footprint, complete Digital Product Passport, or verified farm-contract identity.
Pilot definition
Representative cotton field cluster
Location
Bahawalpur district, southern Punjab
Evidence model
Field-scale crop signal + district and basin context
Primary outputs
NDVI, rainfall anomaly, soil moisture, heat, flood, LCPI, FDR
Nyx interpretation
The environmental story is strongest when the same evidence base is translated appropriately for technical users, commercial buyers, and shoppers scanning for fast explanation.
Why Bahawalpur
A credible cotton-origin test bed inside a stressed irrigation landscape
Bahawalpur is a practical pilot choice because it sits within the Southern Punjab cotton belt and is exposed to the same mix of irrigation dependence, rainfall uncertainty, and heat variability that Nyx needs to explain. The site deliberately uses a representative field cluster rather than claiming a contracted farm identity that has not been publicly validated.
Crop importance
Cotton remains central to the region’s agricultural identity and market narrative.
Irrigation dependence
Water availability matters materially because rainfall alone does not define production conditions.
Climate signal
Heat and rainfall variability are both relevant to cotton-season interpretation.
Pilot assumption
Representative field cluster used for method demonstration and interface design.
Location note
Representative cotton field cluster inside Bahawalpur district, southern Punjab, Pakistan. Exact farm identity is intentionally not claimed in this PoC.
Environmental evidence stack
A layered score model built from public datasets, not marketing claims
The PoC combines measured and contextual signals from satellite, rainfall, soil moisture, heat, flood, and basin water-stress layers. Some metrics describe the representative field cluster directly, while others are regional context indicators. The distinction is part of the product’s credibility.
Crop condition
Sentinel-2 surface reflectance supports vegetation-condition tracking across the cotton season.
Rainfall vs usual
CHIRPS rainfall totals are compared with a same-season baseline to detect drought pressure.
Soil moisture context
SMAP supplies broader moisture context around the representative field cluster rather than farm-precision values.
Heat stress
MODIS and ERA5-Land summarize whether the season was materially hotter than usual.
Flood exposure
JRC flood hazard layers screen the representative cluster for river-flood exposure.
Water stress in basin
WRI Aqueduct provides regional water-scarcity context used in Nyx pressure scoring.
Local Climate Pressure Index
A 0-100 summary of recent rainfall pressure, soil-moisture pressure, heat pressure, and chronic water stress.
Future Deterioration Risk
A directional risk index summarizing repeated stress and structural water pressure around the origin.
Compact sample results table
One representative field-cluster output row
| Entity | Season | NDVI | Rainfall | Soil moisture | Heat | Water stress | LCPI | FDR |
|---|---|---|---|---|---|---|---|---|
| Representative cotton field cluster | 2023 cotton season | 0.49 seasonal mean | -18% vs baseline | -12% vs baseline | +1.4°C anomaly | High context (75) | 45.5 / 100 | 59.0 / 100 |
Illustrative worked example derived from the published PoC scoring logic and intended to show final output structure until the live raster pipeline is connected.
One evidence base, three user views
Nyx changes the framing, not the facts
Partners need provenance and methodological clarity. Business clients need interpretable risk signals. Shoppers need one clear badge, a small number of supporting signals, and a disciplined explanation of what the score does and does not mean.
Auditable source-to-score logic
Designed for data, compliance, and evidence review
This mode exposes dataset provenance, spatial logic, scoring design, and confidence notes. It is the clearest way to demonstrate that Nyx is building an environmental intelligence layer rather than a decorative origin story.
Claim boundary
Measured from public environmental data where possible. Estimated by Nyx where aggregation, normalization, and score construction are applied. Not a full life-cycle product footprint.
Dataset register with source, resolution, cadence, and limitations
Representative field-cluster geometry plus district-context logic
Source-to-score methodology for NDVI, anomalies, and composite scores
Confidence notes covering cloud effects, coarse datasets, and context boundaries
Method discipline
The PoC works because it stays explicit about what each layer can support
Fine-resolution Sentinel-2 imagery supports local crop-condition logic. Rainfall, soil moisture, heat, flood, and basin water-stress layers add broader environmental context. Nyx earns trust by explaining those scales clearly instead of flattening them into one misleading certainty claim.
Measured where possible
Nyx uses public satellite and climate datasets directly where they can support a defensible measurement layer.
Estimated with disclosure
Aggregation, anomaly logic, and composite scoring are clearly labeled as Nyx estimates rather than raw observations.
Context before overclaim
The prototype is explicit about scale mismatches and avoids presenting regional signals as farm-certainty.
Download center
All PoC documents in one place
This compact document hub keeps the portable PoC materials together without displacing the primary hero actions. Stakeholders can download the narrative report and the formula-level methodology reference from a single section near the end of the overview page.
PDF document
Nyx Cotton PoC Report
Narrative overview of the Bahawalpur pilot choice, dataset stack, score construction, audience framing, and claim boundaries.
PDF document
Nyx Methodology Blueprint
Formula-level logic for NDVI, rainfall, soil moisture, heat, flood, LCPI, FDR, and the underlying weighting structure.
One-page PDF
Nyx Executive Summary
A one-page stakeholder brief for fast sharing, focused on the pilot logic, core evidence stack, and commercial relevance.