GeoAerospace is a geospatial technology company with core expertise in remote sensing, cloud platforms & machine learning. The GeoA Cloud platform enables teams to collect, process & analyze geospatial data in one visualization & collaboration environment, reducing risk, time & cost across the lifecycle of a project.
GeoA operate various airborne LiDAR sensors on board drones and aircraft (RIEGL, Yellowscan, L1 etc.), providing accurate data for a range of applications from corridor mapping, terrain modelling to asset digitization. Our LiDAR sensors can be mounted on our aircraft or drones depending on the scale of the survey area.
The GeoA drone based environmental monitoring aerial survey laboratory provides a robust platform to conduct both impact assessments and air quality measurements for a wide range of applications. This includes the monitoring of shipping emissions, flare emissions, pipeline leak detection, methane emissions, urban air quality, and many more.
GeoA provide specialized aerial surveys for asset management teams in support of preventative maintenance strategies across the power generation and transport sector. Drone inspections consist of automated, unmanned flights which are routinely scheduled and provide high resolution image, location and asset condition information.
GeoA operate drones with integrated GPR, which enable penetration of the surface of the ground, ice, rocks, freshwater in unsafe and hazardous environments without compromising safety. Such an approach assures the delivery of accurate data which is safer for personnel and more time-efficient.
GeoA's engineering team provide fully integrated aerial survey solutions, including the design and mounting of bespoke sensors on both drones and light aircraft. The team deliver data-acquisition and post-processing R&D services for academia, government agencies and commercial companies.
Optical and spectral imaging airborne sensors provide advanced tools for environmental predicting, monitoring, assessing and aftercare of numerous ecological scenarios and emergencies. This includes rapid response aerial surveys for oil spill, fire damage, landslide mapping and water quality assessment.
Utilising our fleet of drones and light aircraft we offer nationwide coverage. With access to a multitude of high resolution sensors, we provide orthorectified imagery (1cm GSD).
With access to multiple drones and sensors i.e. LiDAR, RGB, multispectral, hyperspectral, thermal, air quality & ground penetrating radar, we make collecting complex data easy.
Low-cost, synoptic spaceborne data at the macro scale, when combined with higher resolution aerial survey data, can provide time sensitive information at scale i.e. flooding event or wild fire management.
With a suite of both aircraft and drones, GeoAerospace are available to provide bespoke unmanned systems support to the aviation industry nationwide and internationally, for development and testing within BVLOS corridors, UTM's and remote operational centers.
Computer vision, backed with machine learning and deep learning algorithms is making a drastic change to the manual process of handling large volumes of aerial data. We collect aerial data and train a model utilising Machine-Learning classifiers for a particular task (count cars, buildings, people etc.).
Our geospatial platform can be used for viewing, analysing and sharing airborne and drone survey data. It provides a simple, yet powerful cloud based solution for managing, visualising, analysing and sharing complex datasets.
GeoAerospace has joined the ESA BIC programme as a European Space Agency & Enterprise Ireland High Potential Start-Up client. The aim of this programme is to scale the development of the GeoA Cloud Platform focused on predictive maintenance tools for the critical infrastructure sector.
We are available to discuss potential projects and collaborations at our offices just outside Dublin, Ireland.
Please get in touch to arrange a meeting or discuss your aerial survey project requirements.
Maynooth Works, Maynooth University, Eolas Building, North Campus, Maynooth, Co. Kildare, Ireland
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