GeoClaw turns petabytes of satellite data into actionable ground-risk intelligence. We monitor slopes, infrastructure and ecosystems from space — detecting movement in millimetres, forecasting failures in days.
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Penetrating
vegetation cover
Anomaly detection
+ K-Means clustering
Integrated monitoring fusing InSAR, rainfall, vegetation & geotechnical data into a single decision dashboard. Automated SMS/email alerts.
Millimetric ground movement detection using Persistent Scatterer (PS) and Small Baseline Subset (SBAS) interferometry. Sentinel-1 C-band, NISAR L-band, TerraSAR-X.
ERA5-Land hourly, CHIRPS daily, GPM IMERG. Intensity-Duration threshold calibration and automated WATCH / WARNING / CRITICAL alerts for rainfall-triggered landslides.
Sentinel-2 multispectral analysis. NDVI, EVI, NDMI, BSI time series. Pre and post-event damage assessment at regional to continental scales.
Isolation Forest anomaly detection, K-Means clustering, LSTM forecasting, Bayesian uncertainty quantification. Site-calibrated models with explainable outputs.
Integrated monitoring dashboards fusing InSAR, rainfall, vegetation & geotechnical data. Real-time APIs, SMS/email alerts, interactive web dashboards.
SPT interpretation, hydraulic conductivity estimation, failure mechanism analysis, slope stability back-analysis. Technical reports for your engineering team.
Satellite data streams in automatically from Sentinel-1, Sentinel-2, NISAR, ERA5 and CHIRPS via Google Earth Engine.
InSAR displacement, vegetation indices, rainfall accumulations computed through reproducible Python pipelines.
Machine learning classifies risk. Bayesian uncertainty quantifies confidence. Thresholds trigger alerts.
Automated alerts via SMS & email. Monthly reports. Interactive dashboards. Board-ready PDFs.
C-band SAR · ESA
Optical · ESA
L-band SAR · NASA/ISRO
Reanalysis · ECMWF
Rainfall · UCSB
Optical · NASA/USGS
3m Daily · Planet
Rainfall · NASA
GeoClaw is a geospatial intelligence consultancy specialising in satellite-based ground monitoring. We combine InSAR technology, optical imagery, hydrometeorological data and machine learning to deliver actionable risk intelligence for infrastructure, slopes and communities.
Our team has backgrounds in InSAR processing, geotechnical engineering, remote sensing and machine learning. We publish our methods. We open-source our code. We explain our findings in plain language — because decisions depend on trust, not jargon.
Every month without monitoring is a month we're gambling with safety.
Tell us about your project — we'll deliver an initial assessment within two weeks.