09 Jun Sentera Launches Revolutionary Fixed-Wing Phoenix 2 Imaging UAV
Sentera Phoenix 2 UAV: The Most Precise Grid Pattern the Market Has Seen
Sentera, LLC, a global provider of UAV hardware, sensors, and data management platforms, brings a whole new level of control to users with the Phoenix 2 Fixed-Wing Unmanned Aerial Vehicle (UAV), launched today. The Sentera Phoenix 2 UAV is lightweight and highly durable, and may be the most precise drone available today.
“The Phoenix 2 brings a level of precision and accuracy to UAVs that hasn’t been seen before,” said Todd Colten, Chief Aerospace Engineer for Sentera. “Users can now collect highly detailed data quickly, and with complete certainty about its accuracy.” Colten went on to describe the professional-grade autopilot: “The grid pattern you specify is mapped pre-flight. The drone knows exactly what line to follow to get the exact looping radius, and the exact flight level needed for perfect tiling.”
At only four pounds, the Sentera Phoenix 2 UAV is easily hand-launched in just a few steps, and can carry multiple sensor options for up to an hour of flight time. The professional-grade autopilot is part of what makes the precision possible. It constantly auto-calculates and auto-optimizes according to the grid pattern specified to ensure the data collected meets exact specifications.
“Growers are using the Phoenix 2 with agriculture-specific sensors to collect RGB, NIR, and NDVI imagery. That imagery is so precise [the growers] tell us they’re targeting and treating specific parts of their fields, and they’re using fewer chemicals, saving money and increasing yields,” continued Colten. “Follow-up flights can be programmed to use the same pattern for exact data comparison at multiple times throughout the growing season. We’re getting great feedback from our customers.”
Payload Solutions: The Sentera Phoenix 2 is a highly-versatile UAV that accepts multiple sensors, including the Sentera Double 4K Sensor, providing true RGB and normalized difference vegetation index (NDVI) data in a single flight. The Sentera Quad Sensor, a multi-spectral six-band imager with red edge capabilities is also popular in agriculture applications. Other compatible mapping sensors include the Sentera Q for high-resolution orthomaps and the Radiometric Thermal Sensor, which quickly builds high-resolution true temperature maps. Sentera also offers EO and IR gimbaled payloads for live video public safety missions.
Precision: Up to a 60-minute endurance and cruise speed of 30 mph, the Phoenix 2 is capable of covering broad areas that other UAVs of the same size cannot. The highly reliable and accurate Kestrel™ OnBoard autopilot ensures images are captured with precise, even spacing and overlap that is auto-calculated and can be adjusted by the user at the click of a button.
Ease-of-Use: Effortlessly hand-launched in just a few steps, the four-pound Phoenix 2 flies autonomously on a predetermined flight pattern that can be updated during flight by accessing the easy-to-use ground station software. Upon completion, the Phoenix 2 automatically returns to safely land.
End-to-End Solution: The Phoenix 2 includes the aircraft, ground station, transportation cases, batteries, chargers, and software with multiple training options available. Sentera offers a wide variety of sensors, ensuring every application has the perfect imagery solution. Sentera’s AgVault and OnTop Open Software Platforms manage the multitude of images and data collected during flight, and allow near-real time reading and analysis of the data, including working with other data sources via APIs.
Learn more about the Sentera Phoenix 2 UAV.
Since its inception in 2014, Sentera has raised $8.5M in capital from strategic investors and is a leading designer, developer, and manufacturer of software, sensors, and UAVs in the agriculture, infrastructure, and public safety industries. Sentera has more than 200 years of combined experience with sensors, software, UAVs, data management, and engineering solutions. In a single growing season, Sentera’s equipment collected 15,500,000 images and gathered 175 terabytes of data from 8,000 flights.