Quadrature Earth

Continuous records of the Earth’s surface

Quadrature Earth reconstructs time series from remote sensing data and fuses observations across sensors. Radar, optical, and thermal imagery each see the surface differently and at different times; combined, they give a consistent, gap-free view of how a place changes.

Time series reconstruction

Satellite archives are irregular: revisits vary, clouds obscure scenes, and sensors change over time. We rebuild regular, comparable sequences from these records so change can be measured month to month.

Sensor fusion

Radar measures structure and moisture through cloud and darkness. Optical and thermal sensors measure reflectance and temperature. We align and combine them into single, coherent products.

Basemaps

Available now

Monthly SAR basemaps of the places clouds usually hide.

Regional Sentinel-1 SAR composites at 30 m resolution, regenerated every month.

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Fig. 1 — Sentinel-1 backscatter estimate, descending pass, False Color 1.

Why radar

Optical satellites need clear skies and daylight. In the tropics, in monsoon season, and through the polar winter, that can mean months without a usable image. C-band radar sees the surface regardless.

Each monthly composite is processed the same way: orbit correction, radiometric calibration, terrain flattening, and multi-temporal speckle reduction. One month is directly comparable to the next.

At a glance

Source
Sentinel-1 C-band SAR
Resolution
30 m
Cadence
Monthly and weekly
Coverage
Regional, on request

Research

Alongside the basemap, Quadrature Earth carries out applied research in multi-sensor Earth observation. Enquiries welcome.