๐Ÿ“ก Radar Phase Intelligence

Shift the Perspective
PhasQ Analysis.

Physics-based Synthetic Aperture Radar analysis. All-weather, all-hour intelligence โ€” where optical satellites go blind.

6-DAY
Revisit Cycle
+14 DAYS
Early Detection
100%
Cloud Penetration
C-BAND
SAR Frequency

The shift from
optical to radar.

Drag the slider to compare standard optical imagery with PhasQ's phase-intelligent radar analysis.

After Analysis
PHASQ RADAR (SENTINEL-1)
Before Optical
OPTICAL (SENTINEL-2)

One platform.
Every industry.

A single, physics-based radar intelligence engine โ€” adapted to the data requirements and operational tempo of each sector.

[AGR]

Agriculture

Detect root-zone drought stress 14 days before optical visibility. Drive variable-rate irrigation and harvest decisions with physics โ€” not guesswork.

Root-zone moisture mapping
Harvest timing models
Yield loss prediction
[DEF]

Defense

All-weather persistent surveillance. Detect vehicle displacement, infrastructure changes, and subsurface anomalies through cloud cover and concealment.

Change detection (24h)
Sub-meter displacement
Through-cover detection
[SPC]

Space

Ground station calibration, orbital debris tracking, and ionospheric monitoring for space operations and scientific research programs.

Calibration support
Atm. path delay
Surface deformation
[FIN]

Finance

Independent verification of commodity yields for insurance underwriting, agricultural futures, and infrastructure asset valuation.

Yield verification
Crop insurance data
Asset tracking

Real-world
results.

Physics-based detection applied to real scenarios โ€” with documented, measurable outcomes.

Invisible Drought Detection
CASE-001 โ€” RESTRICTED
Sentinel-1 IW GRD
South Moravia โ€” 500 ha โ€” 2024-07

Invisible Drought Detection

Detection
Restricted
Outcome
Restricted
Access Required โ†—

The physics
advantage

Optical NDVI indices are lagging indicators โ€” they only show stress after visible damage occurs. SAR radar detects subsurface moisture changes 2 weeks earlier. The difference between reacting and preventing.

01

Physics-First

We analyze raw Sentinel-1 radar backscatter โ€” not optical imagery. Dielectric constant measurements from orbit. No AI hallucinations.

02

All-Weather

C-band SAR penetrates clouds, smoke, and total darkness. Intelligence when optical satellites are completely blind.

03

Zero-Friction

No GIS expertise required. Weekly reports, export-ready GeoTIFFs, and decision-ready maps delivered to your dashboard.

From satellite
to insight.

PHASE 01

Define Area of Interest

Select your coordinates. We continuously stream calibrated Sentinel-1 GRD data for your exact location โ€” no hardware needed.

Input
PHASE 02

Signal Processing

Physics-based pipeline converts raw SAR backscatter (ฯƒโฐ dB) into moisture maps, subsidence fields, and structural health indices.

Processing
PHASE 03

Intelligence Delivered

Reports, GeoTIFFs, and vector masks โ€” ready for decision-making, not interpretation. Delivered weekly or on-demand.

Output
๐Ÿ”ด Restricted Area

Agriculture
Intelligence.

Coming soon: Crop health, soil moisture, and harvest readiness via Sentinel-1 SAR. Full orbital throughput for precision farming.

Opening Q2 2026
Agri Intel
๐Ÿ”’

Access Required

Authentication protocol v2.1 // Q2 Release

Built by
scientists.

We bridge the gap between academic radar physics and real-world operational intelligence. From core physics to enterprise-scale deployment.

Petr ลฝรกk
PZ-01
/ Founder & CEO

Petr ลฝรกk

GIS specialist and high-agency builder who re-engineered PhasQ's core physics engine in 14 days โ€” replacing AI hallucinations with raw SAR signal analysis. Detects subsurface drought and hidden assets where optical systems see nothing.

LinkedIn โ†—
๐Ÿ‘ค
JR-01
Incoming
/ Chief Technical Officer

Incoming CTO

Leading engineering talent from US generative AI labs and European autonomous systems research. Arriving to scale our radar signal intelligence stack.

๐Ÿ›๏ธ
COLLAB-01
/ Scientific Collaboration

University Partners

Strategic partnerships with leading technical universities for radar physics validation and dielectric modeling research.

๐Ÿ”ฌ
COLLAB-02
/ Remote Sensed Data

Research Fellows

Joint research initiatives focused on C-Band SAR interferometry and volumetric soil moisture estimation protocols.

๐ŸŒ
COLLAB-03
/ Data Verification

Open Science

Community-driven ground truth validation and cross-sensor calibration for global drought indexing.

Transparent
pricing.

Scalable intelligence from single fields to national-scale monitoring. One platform, any operational scope.

[AGR]
Agriculture
$5/ ha / year

Precision moisture monitoring for modern farms.

  • Weekly root-zone updates
  • Drought prediction models
  • Yield forecasting
  • Variable rate maps (VRA)
  • Unlimited team access
Start Monitoring โ†—
[DEF]
Defense & Gov
Custom

Persistent surveillance. Strategic-grade analysis.

  • Daily revisit (constellation)
  • Sub-mm subsidence detection
  • Dark vessel detection
  • On-premise deployment
  • Dedicated analyst support
Book a demo โ†—
[INF]
Infrastructure
Custom

Continuous stability monitoring for critical assets.

  • Pipeline integrity analysis
  • Dam stability monitoring
  • Bridge vibration analysis
  • Landslide early warning
  • Raw phase data access
Book a demo โ†—

Questions
& answers.

01

How does PhasQ differ from NDVI optical imagery?

+
02

What makes the physics-based approach unique?

+
03

Can radar detect assets under concealment?

+
04

Do I need hardware or ground sensors?

+
05

How is data kept secure?

+

Get early
access.

Limited spots for the pilot program. Priority access for agriculture, infrastructure, and defense operators.

SECURE TRANSMISSION // 256-BIT ENCRYPTION

PHASQ.tech

Physics-based radar intelligence. Shifting the perspective from optical to radar surveillance.

System

v1.2.5 โ€” OPERATIONALยฉ 2026 PHASQ INTELLIGENCE
SENTINEL-1 // SENTINEL-2 // GEE // PHASE-02