
Category: Drone know-how

Remote ID will soon be a must-have: Here are five ways to stay compliant
Drone ID is soon mandatory for all UAV flights in the US and all except the open category in Europe. Are you compliant? Here’s how Wingtra will help.

Photogrammetry vs. LIDAR: what sensor to choose for a given application
When comparing LIDAR vs. photogrammetry, so much depends on the application–learn how these systems work, their strengths and which one is right for you.

Wingtra spearheads a European drone regulations milestone
Learn about Wingtra’s recent Swiss regulatory success and how it opens the door for operators to use WingtraOne GEN II on more projects.

Sony a6100 or RX1R II: which payload do you need now? [Output comparison]
Explore the difference between WingtraOne GEN II’s RGB nadir payloads—the RX1R II and the a6100—with test flight data.

Multispectral drone data is quietly revolutionizing agriculture and forestry—are you missing out?
Explore why and how multispectral drone data is revolutionizing agriculture, forestry and environmental industries.

Ground control points: How many do you need (and when are checkpoints enough)?
Explore the difference between ground control points and checkpoints, and how different drones and conditions influence which ones you need and how many.

Fixed-wing drones: the evolution of the technology
Learn how fixed-wing drone technology has evolved to change the field of surveying and mapping.

Drone regulations: where we are today, where we’re going and what you need to know
Drone regulations vary based on where you fly and what application you are tackling. This blog ensures your understanding of essential drone laws in the US and Europe.

How drone flight time impacts job time, and why it matters to your bottom line
Flight time depends on more than battery life, and this blog breaks down why it’s not the most important factor in getting the job done right and fast.

What’s the difference between PPK and RTK drones, and which one is better?
These two satellite location data correction methods have been around a while for terrestrial surveying, but when applied to drone mapping, their differences impact reliability and ROI.