AgEagle MicaSense RedEdge-P
Five Spectral Bands
High-Resolution Panchromatic Band
Removable CFexpress Storage
Season-Long Canopy Analysis at Higher Resolution
The RedEdge-P is a rugged, high-quality multispectral sensor equipped with a high-resolution panchromatic band, enabling pan-sharpened output resolutions of 2 cm at 60 m. This advanced sensor ensures comprehensive plant canopy analysis throughout all growth stages, maintaining the reliability of the RedEdge legacy.
High-Resolution Panchromatic Band
The RedEdge-P features a high-resolution panchromatic band, allowing for pan-sharpened output resolutions of 2 cm at 60 m, providing exceptional detail and clarity for vegetation analysis.
Five Spectral Bands
The sensor measures light reflected in five bands (blue, green, red, red edge, and near-infrared), enabling detailed plant health mapping, species differentiation, and advanced crop scouting.
Removable CFexpress Storage
Using professional-grade CFexpress storage, the RedEdge-P supports customizable sizes from 64 GB to 2 TB, allowing continuous capture of all image bands every second for over 24 hours, ensuring efficient data collection.
Commercial Uses
Optimised Data Quality and Repeatability
The RedEdge-P uses purpose-built optics and industrial image sensors, combined with narrowband, scientific-grade filters. It undergoes rigorous factory calibration to ensure high-quality, repeatable data for reliable multispectral outputs.
Fast Capture Rate
With a capture rate of up to three images per second, the RedEdge-P enables rapid in-field workflows, reducing the time required to map an area and improving overall efficiency
Open Interfaces for Easy Integration
The sensor supports various interfaces, including USB 2.0, Ethernet, and CFexpress storage, ensuring compatibility with existing RedEdge installations and a wide range of post-processing and flight planning software.
Environmental Durability
With an IP4X rating, the RedEdge-P is designed to withstand diverse environmental conditions, ensuring reliable performance in various agricultural and environmental monitoring applications.