We measure how early stress signals appear relative to field observation or the incumbent workflow.
Evaluations focus on stress signatures, biochemical change, and other crop signals that may not be visible in standard imagery.
Each evaluation is judged by whether the output can support irrigation, nutrient, disease-response, or field-prioritizing decisions in time.
Why Clarity
1Beyond NDVI
Hyperspectral analysis reveals biochemical markers of plant stress that traditional multispectral indices cannot detect.
2Sub‑Pixel Detection
Clarity’s spectral unmixing separates mixed signals within a single pixel, allowing identification of stressed crops hidden within healthy foliage.
3Planetary‑Scale Processing
Analyze hyperspectral datasets spanning millions of acres using cloud‑accelerated spectral models.
Example output: a customer-safe crop-stress or biochemical change layer with spectral context and an agronomy summary tied to the field decision in scope.
Request a Customer-Safe ExampleDeployment Process
From target definition to early-warning insights.
1. Define Region
Specify geographic scope, crop type, and monitoring objectives.
2. Assess Data
Integrate existing drone or satellite imagery or procure hyperspectral feeds.
3. Generate Insights
Produce biochemical stress maps and early‑warning indicators across the region.
Questions Buyers Ask Before They Scope an Evaluation
What data sources do you support?
Evaluations can be scoped around hyperspectral satellite, airborne, drone, and customer-provided imagery, including familiar sensors such as PRISMA, EnMAP, and EMIT where relevant.
What does an evaluation deliver?
A package with a crop-stress or biochemical-change layer, supporting spectral context, workflow-fit notes, and a next-step recommendation for the agronomic use case.
How is success judged?
Success can include earlier stress detection, rare or hidden signal detection, analyst time saved, decision usefulness, output quality, and fit with the agronomic workflow already in place.
What is the minimum dataset needed?
The starting dataset depends on crop type and monitoring objective, but we can scope a practical evaluation around the imagery and decision your team already needs to support.
Can this fit our existing workflow?
Yes. Evaluations are scoped around the data, review process, and agronomic workflow your team already needs to support.