Brine Pond Tracker

Automated pond volume estimation uses satellite and sensor data for real-time lithium supply-chain insights and optimized evaporation management.

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How does it work?

Manual pond-level measurements are labor intensive and provide limited temporal resolution, hindering accurate production forecasts. Automated remote sensing and analytics deliver timely, precise volume estimates, improving supply-chain planning and risk mitigation.

Accurate Volume Estimates: Multispectral satellite imagery and photogrammetry generate precise pond depth and surface area metrics. This reduces estimation errors by up to 20% compared to traditional manual surveys.
Real-Time Monitoring: Daily or sub-daily data updates enable continuous tracking of evaporation rates and volume changes. Instant alerts highlight deviations from expected trends to inform rapid operational adjustments.
Supply Forecasting: Historical volume trends and weather data feed predictive models for lithium output forecasting. This supports procurement teams in aligning feedstock availability with battery production schedules.
Risk Mitigation: Early detection of abnormal pond drainage or leakage prevents environmental and production incidents. Geospatial analytics flag anomalies, helping engineers intervene before costly shutdowns occur.
Operational Efficiency: Integrating analytics with pumping and brine distribution systems automates refill and concentration controls. Optimized schedules reduce energy use and increase overall evaporation efficiency by up to 15%.
Regulatory Compliance: Automated volume logs and geolocated imagery simplify reporting to regulators and investors. Timestamped records ensure audit-ready documentation for environmental monitoring requirements.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this compare to manual pond surveys?: Remote sensing delivers more frequent and consistent volume data than periodic manual surveys. It eliminates field safety risks and reduces labor costs while maintaining accuracy within ±5%.
Why is satellite monitoring popular over ground sensors?: Satellites cover multiple ponds across vast sites without sensor installation or maintenance. They also offer uniform data collection unaffected by local equipment failures.
What limitations exist with cloud cover?: Persistent cloud or haze can delay optical image acquisition and volume updates by days. Synthetic aperture radar (SAR) imagery serves as an alternative to maintain monitoring during cloudy periods.
Can I use alternative indices for salinity changes?: Yes, reflectance indices like the Normalized Difference Salinity Index (NDSI) help estimate brine concentration shifts. Combining volume and salinity analytics enhances process control for target lithium grades.
How frequently can I update pond volumes?: Volume updates depend on imagery frequency—most high-resolution satellites provide daily coverage, while commercial constellations can offer sub-daily revisits. On-site sensors can fill gaps for continuous, near-real-time data streams.
What are alternatives to geospatial analytics?: Ground-based ultrasonic and radar sensors deliver point measurements but lack full-area coverage. Drones offer high-resolution surveys at lower altitudes but require manual deployment and limited flight windows.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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