Why DJI Terra, Emlid, and Base Stations Struggle During Solar Storms
When reliable GNSS workflows suddenly degrade — the problem is overhead, not on the ground
Overview
During solar storms, many operators notice that previously reliable GNSS workflows suddenly degrade. DJI RTK drones lose FIX, Emlid base stations struggle to maintain stable corrections, and NTRIP networks produce inconsistent results.
Importantly, this is usually not a failure of the equipment or software. The underlying issue is that space weather disrupts the ionosphere — the medium through which all GNSS signals must travel.
The Common Dependency: GNSS Signals Through the Ionosphere
All RTK systems depend on receiving precise satellite signals. These signals must pass through the ionosphere, where solar storms create turbulence and irregularities.
Effects include:
- Variable signal delay
- Rapid phase changes
- Signal fading (scintillation)
- Increased noise
NOAA SWPC — Space Weather and GPS Systems
ESA Space Weather Service — Ionospheric Weather & GNSS Effects
Why DJI RTK Drones Lose Accuracy
DJI RTK systems rely on real-time carrier-phase measurements from multiple satellites combined with correction data from a base station or network.
During geomagnetic storms:
- FIX solutions drop to FLOAT
- Initialization takes longer
- Position accuracy fluctuates
- Satellite tracking degrades
The drone's flight control remains stable, but geospatial accuracy suffers.
Why Emlid RS2 / RS3 Base Stations Struggle
Emlid receivers are high-quality multi-band GNSS units capable of centimeter-level accuracy under stable conditions. However, they cannot eliminate ionospheric disturbances.
During solar storms:
- Base station measurements become noisier
- Ambiguity resolution becomes difficult
- Correction quality degrades
- Rover performance suffers
Why NTRIP Networks Are Not Immune
Many operators assume that using a professional correction network solves the problem. However, NTRIP networks depend on the same satellites and atmospheric conditions.
Network RTK relies on modeling ionospheric behavior across a region. Solar storms create rapid, irregular changes that violate these models.
Consequences:
- Inconsistent corrections
- Reduced network accuracy
- Difficulty maintaining FIX
- Regional variations in performance
The Root Problem: Rapid Ionospheric Changes
RTK systems assume that atmospheric errors change smoothly over space and time. Solar storms introduce rapid fluctuations that correction algorithms cannot keep up with.
This causes:
- Frequent cycle slips
- Loss of lock on satellites
- Reduced usable satellite count
- Increased positioning uncertainty
Why Short Baselines Don't Fully Solve It
Even when a base station is very close to the rover (drone), ionospheric disturbances can vary significantly over short distances during strong storms.
Therefore, proximity alone cannot guarantee accuracy.
Practical Impact on Mapping & Survey Missions
During significant space weather activity, operators may experience:
- Inconsistent geotag accuracy
- Dataset distortions
- Increased need for Ground Control Points
- Longer processing times
- Reduced confidence in results
Mission completion may still be possible, but precision requirements may not be met.
Key Takeaways for Operators
- DJI RTK drones, Emlid receivers, and NTRIP networks all depend on the same GNSS signals
- Solar storms degrade the atmosphere, not the equipment
- RTK workflows are especially sensitive to ionospheric instability
- Monitoring space weather is essential for mission planning
Bottom line: High-end gear cannot overcome severe space weather conditions. Check the GNSS Risk Levels page and the GNSS Risk Assessment before deploying.