Remote Sensing
Robust earth observation solutions
GIS People uses the latest software with the most efficient techniques for image analysis.
What is remote sensing?
Remote sensing is a technology used to gather information about objects and phenomena from a distance, using sensors mounted on aircraft, satellites, drones, and other platforms to capture data across the electromagnetic spectrum.
This data can be used to create detailed maps, monitor the environment, analyze natural resources, and much more — an essential tool for decision-making across agriculture, urban planning, disaster management, and resource management.
Feature extraction
Feature extraction identifies and extracts important features from raw remote sensing data — revealing patterns, structures, and characteristics of the Earth's surface such as vegetation cover, land use, and topography.
Using advanced algorithms and techniques, our experts extract meaningful features from complex data sets to create high-quality maps and geospatial products.
Vegetation monitoring
Using sensors to observe changes in plant growth and health over time, we can detect changes in vegetation health, track the spread of invasive species, and assess the impact of natural disasters. Drag the slider — satellite images of drought in Paraguay, 2017 vs 2020. (NASA, Images of Change)
IoT & CCTV monitoring
The use of IoT and CCTV cameras for remote observation is increasingly common across security, transportation, and urban planning — enabling real-time monitoring of remote locations and prompt action.
Keep communities safe and healthy with real-time environment monitoring
IoT sensors can be used to monitor air quality, noise levels, and other environmental factors, providing valuable data for research and urban planning.
Lidar capture & processing
Lidar data uses lasers to collect detailed information about the Earth's surface, enabling remote inspections that are safer, more efficient, and less expensive than traditional methods.
Lidar also detects small structural deformations and monitors changes in real-time, providing early warning of potential issues — transforming how we inspect and maintain critical infrastructure.
Damage assessment
Post-disaster damage assessment uses satellite and aerial imagery to gauge the extent of damage. Change-detection and machine-learning help us assess the damage quickly and accurately. Flooding along the Mississippi River, 2014 vs 2019. (NASA, Images of Change)
