About GeoSensing
GeoSensing is the Remote Sensing and Earth Observation division of Geomaticx, dedicated to delivering high-precision geospatial intelligence for a smarter, more sustainable planet. Through advanced satellite imagery, LiDAR modeling, and environmental analytics, GeoSensing transforms complex spatial data into meaningful insights that empower agriculture, climate studies, hydrology, geology, and infrastructure planning. At GeoSensing, we bridge the gap between space-based observation and real-world application-turning imagery into actionable intelligence that supports efficient resource management, disaster preparedness, and sustainable development.
Our Expertise Spans Across
Agriculture
Climate & Environment
LiDAR & Terrain Modeling
At Geomaticx, we harness the power of LiDAR technology and advanced terrain modeling to create highly accurate 3D representations of the Earth’s surface. From data acquisition and processing to Digital Elevation Models (DEM), Digital Terrain Models (DTM), and topographic analytics, we deliver insights that bring precision and clarity to every project.
Hydrological & Lithological Mapping
At Geomaticx, we specialize in hydrological and lithological mapping that provides a deep understanding of the Earth’s surface and subsurface conditions. By integrating remote sensing, GIS, and field data, we deliver actionable insights into water resources, soil properties, and geological formations — essential for sustainable land and infrastructure development.
Minor Irrigation Census
At Geomaticx, we use remote sensing, GIS, and field-based validation to support comprehensive Minor Irrigation Census programs. Our solutions enable government agencies and planners to accurately identify, assess, and monitor irrigation structures across large geographic areas.
High-Precision LULC (Land Use/Land Cover) Mapping
At Geomaticx, we combine AI, machine learning, and satellite analytics to deliver high-precision Land Use/Land Cover (LULC) mapping. Using advanced multi-spectral imagery, radar data, and deep learning models, we accurately classify land into urban, forest, agricultural, and water body categories — creating data-driven insights that power land management, policy planning, and environmental sustainability.