All-weather
Radar satellites observe in the microwave part of the spectrum, which passes through cloud, smoke and haze. A rainy season or a persistent cloud bank does not leave a gap in the record the way it does for optical imagery.
Synthetic aperture radar measures the echo of its own microwave pulses. That makes it independent of weather and daylight, sensitive to tiny changes in distance, and able to cover wide areas from a single pass.
Radar satellites observe in the microwave part of the spectrum, which passes through cloud, smoke and haze. A rainy season or a persistent cloud bank does not leave a gap in the record the way it does for optical imagery.
A synthetic aperture radar transmits its own pulses and records their echoes, so it does not depend on sunlight. Night-time passes are as useful as daytime ones.
Comparing the phase of the returning signal between passes reveals changes in the satellite-to-ground distance far smaller than Sentinel-1's 5.5 cm wavelength. Combined over many passes with good coherence, this gives millimetre-scale sensitivity to relative motion along the radar's line of sight. It is a sensitivity, not a guaranteed accuracy for every site.
When the surface changes between passes, through excavation, flooding, collapse or new construction, the radar signal stops matching. Mapping that loss of coherence and the change in brightness shows where something changed, which an analyst then interprets with other evidence.
The Copernicus Sentinel-1 archive reaches back to 2014. A new project can therefore start with history: how the ground behaved before an asset was built, before a problem was noticed, or before an event.
Sentinel-1's Interferometric Wide mode images a swath of about 250 km, so a site, its surroundings and long corridors are observed together and consistently, without instruments at every point.
The satellite sends microwave pulses towards the ground. They pass through cloud and need no daylight.
The surface scatters part of each pulse back. The strength and timing of the echoes form a radar image.
Comparing the phase of two passes over the same ground turns tiny changes in distance into colour fringes.
Many comparisons through time become a map and a history of relative motion, each with its quality context.
How GeoIntel SAR turns radar into evidenceDrag across the image to compare them. This is an illustration, not a measured result.
Figures describe the Copernicus Sentinel-1 mission. They are not an accuracy guarantee for any site: what a result can show depends on the surface, the number of passes and their quality, which every GeoIntel SAR result reports alongside its map.
A raw satellite image is not a ground-motion answer. GeoIntel SAR turns many carefully aligned observations into a time-based view that teams can inspect, understand and act on.
Radar satellites illuminate the surface and record the returning signal on each pass, day or night and through cloud.
Repeat scenes are precisely aligned. Changes in radar phase reveal small differences in satellite-to-ground distance.
Many reliable comparisons are combined so persistent patterns become clearer while weak coverage remains visible.
Relative line-of-sight motion is presented with trends, quality context and an analyst-reviewed explanation.
Useful evidence comes from combining repeat acquisitions, precise orbit and terrain references, phase comparisons, time-series analysis and quality checks. The result stays qualified as relative radar line-of-sight motion.
Each method contributes something different. Radar is strongest when teams need broad, repeatable coverage and historical context.
Excellent local precision at surveyed points.
Adds the wider movement pattern and repeat context between field campaigns.
Continuous, direct measurements at instrumented locations.
Adds dense spatial context without placing equipment at every point in the area.
Detailed views of current surface and asset condition.
Adds repeat regional observation through cloud and darkness, including change that may not be visually obvious.
Satellite radar supports screening, monitoring and prioritisation. GNSS, levelling, field inspection and geotechnical judgement remain essential for local validation, cause and safety decisions.
Only the sources, processing and formats in use today are named.
Uneven settlement can affect foundations, roads, rail, pipelines, drainage, mines and industrial sites. Repeat satellite monitoring helps teams screen broad areas and direct field checks to persistent patterns.