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NTRIP (Real-Time Transmission over Network) is a protocol that transmits GNSS correction data in real time over the internet, significantly improving positioning accuracy. When used in conjunction with Apeks GNSS receivers, NTRIP can help you achieve high-precision real-time positioning and is widely used in fields such as geographic surveying, land surveying, and construction. This article will detail how to configure and use NTRIP network mode to ensure you can successfully achieve accurate GNSS measurements.

Accurate slope measurement is essential in surveying, engineering, and construction.

When working on a surveying project, it's very important to make sure the control points provided by the client are accurate and stable.

If you've ever needed to divide a line into equal parts for construction, mapping, or surveying work, the Equal Distance Stakeout function in your RTK is a real time-saver.

If you already use GNSS/RTK for point surveying, you can also use it to measure the included angle formed by three points — one vertex and two points along the sides.

In the world of surveying, UAV mapping, and precision agriculture, accurate positioning is critical. Two of the most widely used GNSS (Global Navigation Satellite System) positioning technologies are RTK (Real-Time Kinematic) and PPK (Post-Processed Kinematic). 

If you're interested in high-precision positioning or RTK surveying, you may have heard of CORS (Continuous Operational Reference System).

In the world of GNSS (Global Navigation Satellite System) surveying, precision and efficiency are crucial. Two of the most widely used methods are RTK (Real-Time Kinematic) surveying and Static surveying. 

When you're working in surveying or mapping, accuracy is everything. Even a small measurement error can affect your results. One common cause of such errors is a misaligned or uncalibrated survey pole.

When working on CAD stakeout, you may sometimes find that the CAD map coordinates don't match the actual location on the ground. This mismatch can lead to errors, wasted time, and frustration.

Whether you're out in the field or working remotely, efficient data sharing can make a huge difference in your workflow.