REMOTE SENSING
Real-time monitoring via satellites, autonomously tasked drones, and other sources, processed through a data fusion engine, delivers timely insights across vast areas, enabling faster decisions, predictive analytics, and proactive actions to optimize resources, boost efficiency, and reduce risks.
KIREAP’s data fusion engine processes Remote Sensing data, combining it with historical records to mirror ground realities, track changes and reveal ecosystem impact.
Satellites orbiting the Earth capture data across various spectral bands including Multispectral and Hyperspectral. These images provide large-scale, consistent coverage and are essential for monitoring changes over time.
Unmanned aerial vehicles (UAVs) equipped with special cameras and sensors fly at low altitudes to collect high-resolution, localized data. They offer flexibility and precision, especially in areas where satellite data may be limited.
Collected from ground stations and meteorological satellites, this includes temperature, humidity, rainfall, and wind patterns. It helps contextualize remote sensing observations and supports predictive modeling.
Past datasets from satellites, drones, and weather systems are used to establish baselines. Comparing current data against historical records enables trend analysis and anomaly detection.
