Solutions and Data

Remote sensing and machine learning enabled scalable detection of invasive weeds across mine closure sites, improving rehabilitation monitoring and environmental management.

Geospatial Intelligence conducted a remote sensing assessment for an Australian orchard to identify unhealthy or damaged trees at scale. Using satellite imagery and NDVI analysis, the project produced a detailed tree health classification map, accuracy report, and geospatial outputs for operational use. The insights allow the orchard to detect issues earlier, improve decision making, and support long term productivity and orchard health.

Remote sensing using EO and SAR imagery enabled accurate monitoring of drill pads, subsidence, and site activity across a large Australian mining operation, improving safety and compliance.