Water · Energy · Carbon

Water, energy and carbon intelligence for land. Powered by Valthgard Spatial AI.

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Valthgard Spatial AI

From measured fluxes to a landscape perspective.

Our models learn from eddy-covariance flux observations and use satellite and weather data to estimate water use, energy exchange and carbon dynamics. One perspective for understanding your land.

Field observations

Measurements of land–atmosphere exchange provide training evidence.

Satellites and weather

Spatial data and weather conditions bring context to each estimate.

Spatial AI

Water, energy and carbon models reveal patterns across your land.

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Water. Energy. Carbon.

Water.

See how water use varies across a field through spatial evapotranspiration estimates.

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Energy.

Connect water use with latent heat and explore the energy exchanged between land and atmosphere.

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Carbon.

Follow ecosystem carbon uptake and release through modeled NEE, GPP and respiration.

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Built around your land and your question.

From agricultural water use to ecosystem monitoring and land–atmosphere research, start with the exchange you need to understand.

  • AgricultureWater-use pilotsUnderstand seasonal water use and identify areas for closer investigation.
  • Ecosystems & land managementExplore a projectDiscuss a monitoring question and assess feasibility for your landscape.
  • Research & instrumentationPartner with usConnect field observations, flux measurements and model evaluation.

Looking at carbon dynamics? Explore our carbon capability →

Spatial AI in focus

One field. Water, energy and carbon.

Eastern Nebraska · 125.3 ha · 16–31 August 2026. Model estimates from the same field and time window.

0.25.4 mm/dayWater use (ET) · This field: 2.2–4.3

Model estimates · water and energy averaged over 16 days · LE derived from ET.

From a land question to a scoped pilot.

  1. Share your question.

    Tell us about your area, period of interest and the water, energy or carbon exchange you want to understand.

  2. Define the evidence.

    We review available satellite and field data, assess feasibility and agree on outputs and evaluation criteria.

  3. Review the results together.

    Explore a demonstration or pilot with your team and identify where local observations can strengthen the evidence.

Bring the observations. Build the evidence.

We welcome land managers, researchers and data or instrumentation partners with a question to investigate. Tell us about your satellite, weather or flux observations and explore how a joint evaluation could connect water, energy and carbon.

Start with a real question about your land.

Explore a pilot

See how Spatial AI works. Explore the science