OUR CAPABILITIES
Empowering smarter engineering decisions
Soil Moisture Analysis
Benefit from an additional layer of environmental insight to support more comprehensive risk assessment and asset management.
Identify moisture-related risks early, improve ground understanding, and make informed operational decisions with Geofem’s proprietary algorithm developed in partnership with the European Space Agency.
Geotechnical Consultancy
Transform complex ground data into actionable engineering insight, enabling better risk assessment, optimised design decisions, and more resilient infrastructure.
Move beyond isolated datasets with an integrated approach that combines advanced numerical modelling, remote sensing, geological information, and geotechnical expertise to reveal how ground conditions evolve under real-world conditions.
Supporting better engineering decisions
Beyond our core offering, we offer a suite of complementary solutions that enhance understanding of ground conditions and support better engineering decisions.
From space to seabed, Satellite-Derived Bathymetry (SDB) harnesses optical satellite imagery and machine learning to remotely and precisely map water depths across coastal environments.
Geofem’s SDB technology leverages high-resolution multispectral imagery from Earth Observation satellites to deliver accurate depth estimates in clear, shallow waters.
With frequent updates and no need for field surveys, it offers a faster, safer, and more cost-effective way to monitor underwater terrain, empowering better-informed decisions and unlocking new possibilities.Ground conditions are continuously changing over time. We analyse satellite imagery to deliver clear, data-driven insight into these changes.
By analysing multitemporal remote sensing data from the same location, we identify land cover and surface changes as they happen, supporting a wide range of monitoring and assessment needs.
This enables effective tracking of construction activity, site conditions, and environmental change, providing clear, spatial intelligence to support investigations, planning, and infrastructure management.
We use multiple sets of optical satellite data to analyse sand dune dynamics (movement and accumulation) and quantify the velocity and direction of dune movement across the area of interest.
High-resolution optical satellite imagery is selected, processed, and analysed to support this assessment.
Geofem quantifies surface volume changes using Digital Elevation Models (DEMs) derived from both optical and SAR satellite imagery.
By comparing multi-temporal DEMs, we accurately capture terrain elevation differences over time, enabling the calculation of cut-and-fill volumes and net surface change across the area of interest.
This approach supports monitoring of erosion, deposition, and other landform dynamics with high spatial consistency.
Human activity is placing increasing pressure on coastal and inland water bodies.
Geofem leverages satellite technology to assess these impacts in near real time, transforming remote sensing data into a robust Water Quality Index (WQI) that supports the monitoring of healthier marine ecosystems.
This approach provides a holistic view of water quality across environments such as dams and coastal zones, including key parameters such as total suspended matter concentration, chlorophyll-a concentration, and more.
Advancing satellite-derived intelligence
Geofem’s approach is grounded in research, innovation and practical engineering experience.
Through technical publications, industry guidance and contributions to international standards, we continue to advance the application of satellite remote sensing to infrastructure monitoring, geohazard assessment and risk prediction.
Our research and technical contributions span advanced InSAR, multi-source satellite data and machine learning, with applications across railways, roads, mining and other critical infrastructure. This work supports the development of more effective approaches to detecting change, understanding ground movement and identifying emerging risk.
By sharing our knowledge and contributing to wider industry practice, we aim to strengthen the role of satellite-derived intelligence in supporting better-informed engineering decisions.
Explore selected publications & technical contributions:
Dynamic Daily Rainfall-Driven Temporal Landslide Hazard Mapping Utilising InSAR and Machine Learning in Kerala, India, - LaRGE, 2026 (New Zealand Geotechnical Society)
A Multi-Sensor Satellite Framework for TSF Risk Management: InSAR and Soil Moisture - Proceedings of Tailings and Mine Waste Conference 2025
Identifying Sandstorm-Affected Railway Networks Due to Sand Accumulation Using InSAR Coherence Change Detection Analysis - 2024 IEEE India Geoscience and Remote Sensing Symposium
Surface displacements of the 12 November 2017 Iran–Iraq earthquake derived using SAR interferometry - Geocarto International
An improved multi-model risk assessment of creep-type landslide dynamics with multi-temporal synthetic aperture radar (MT-InSAR) – Earth Surface Processes and Landforms
Site scale landslide deformation and strain analysis using MT-InSAR and GNSS approach – A case study - Advances in Space Research
An improved time series SAR interferometry (TSInSAR) for investigating earthquake-induced active unstable slopes (AUS) in Pakistan – International Journal of Remote Sensing
Protect your assets with better visibility of ground risk.
Talk to our friendly, responsive team about how we combine satellite data and engineering expertise to help you act sooner and reduce risk.