Skip to content

HYPERSPECTRAL FEASIBILITY STUDY

Detecting methane signals over rice fields.

Cropin explored whether hyperspectral Earth observation could distinguish greenhouse-gas signals over agricultural landscapes, and strengthen the evidence layer for future MRV systems.

PRISMARICE-FIELD HYPERSPECTRAL SOURCE
CH₄RICE-PADDY SIGNAL EXPLORED
CO₂ + CH₄BROADER TECHNICAL HYPOTHESIS

Study evidence

From hyperspectral observation to a spatial methane indicator.

The report compared a PRISMA RGB observation of rice paddies in northern Italy with a processed CH₄ indicator. The resulting map showed a visible difference between rice fields and surrounding areas, despite expected atmospheric noise.

PRISMA hyperspectral observation of rice paddies in Italy alongside a processed methane indicator map
PRISMA HYPERSPECTRAL IMAGERY · RICE PADDIES · ITALY25 APRIL 2020
01 / FIRST HYPOTHESIS

Test greenhouse-gas detection using current hyperspectral missions.

Cropin evaluated whether currently available hyperspectral observations could identify relative CO₂ and CH₄ signals. The research used PRISMA imagery and, for the broader CO₂ feasibility assessment, imagery from NASA’s EO-1 Hyperion mission.

02 / PUBLIC METHODOLOGY

Use spectral response to build spatial indicators.

Selected portions of the short-wave infrared spectrum were processed to identify relative absorption-related patterns associated with CO₂ and CH₄. The public methodology is limited to the sensor class, observation principle and validation approach; Cropin’s implementation details, processing pipeline, feature engineering and operational thresholds are not disclosed.

03 / CO₂ RESULT

A reference test established technical feasibility.

The CO₂ workflow was tested on a high-emission volcanic environment and compared with a rural reference area. PRISMA and Hyperion outputs produced comparable spatial patterns, supporting further investigation of hyperspectral CO₂ mapping. This was not a rice-field CO₂ measurement.

04 / CH₄ RESULT

Rice paddies were distinguishable from surrounding land.

The PRISMA-derived methane indicator showed a visible difference between rice fields and other areas. The output remained noisy because CH₄ is an atmospheric gas, but the contrast offered promising evidence that hyperspectral intelligence could support regional screening and monitoring.

Source: Cropin hyperspectral feasibility report. Research imagery includes PRISMA and NASA EO-1 Hyperion observations.

From research to enterprise value

A potential evidence layer for agricultural emissions programs.

The capability could help enterprises and governments screen rice-growing regions, prioritize field verification, monitor methane-reduction interventions and strengthen MRV workflows.

01

Regional screening

Identify locations where methane-related signals warrant closer investigation.

02

Intervention monitoring

Compare spatial patterns across seasons and water-management programs.

03

MRV prioritization

Direct field sampling and verification resources toward higher-value areas.

EXPLORATORY FEASIBILITY WORK · RELATIVE SPATIAL INDICATOR, NOT DIRECT FIELD-LEVEL MEASUREMENT OF ABSOLUTE EMISSIONS · FURTHER CALIBRATION AND VALIDATION REQUIRED FOR OPERATIONAL USE

Build the evidence system

Make agricultural emissions
more observable.

Discuss an MRV program ↗