Micasense RedEdge-P High-resolution multispectral and RGB sensor

High-resolution multispectral and RGB sensor
RedEdge-P features a high-resolution panchromatic band for pan-sharpened output resolutions of 2 cm / 0.8 in at 60 m / 200 ft.

Its five narrow multispectral bands with scientific-grade filters make it the perfect camera for calculating multiple vegetation indices and composites.

Industry standard for data quality and repeatability

High resolution panchromatic sensor

With a high-resolution panchromatic imager, RedEdge-P enables higher-resolution RGB and multispectral outputs – 2 cm per pixel / 0.78 in per pixel resolution when flying at 60 m / 200 ft . With sharper imagery, you can spot smaller problems or features sooner and make more reliable management decisions across a variety of use cases.

Why RedEdge-P

Increase data accuracy and repeatability

Calibrated multispectral imagery

Each RedEdge-P camera kit comes with a Reflectance Panel for on-the-ground calibration as well as a DLS2 light sensor for irradiance and sun angle measurements. These radiometric calibration tools account for different weather and light conditions, providing more accurate, reliable data that enable time series analysis and comparability of outputs over time.

Powerful AI capabilities

Thanks to the panchromatic band, RedEdge-P enables high-resolution RGB and multispectral imagery for machine learning applications such as plant counting and advanced vegetation research applications.

Compatible with a wide range of drones and processing software

The RedEdge-P SkyPort ensures perfect compatibility with DJI’s M300 RTK drones. The camera also features an open API interface for easy integration with many popular drone and software platforms.

Synchronized capture of high-res RGB and multispectral

Simultaneous capture of up to six bands, enabling multiple high-resolution outputs such as RGB, crop vigor indices and composites (NDVI, NDRE, CIR), and high-resolution panchromatic.

Use cases and applications

Designed specifically for UAV and vegetation mapping

Plant counting

Plant counting algorithms require high-resolution imagery. RedEdge-P combines a Panchromatic lens with 5-high-res multispectral lenses enabling high-res RGB and multispectral outputs, allowing plant count even at early growth stages.

Phenotyping

Manually measuring plant characteristics is time-consuming. RedEdge-P band combination enables high-resolution multispectral outputs, allowing the detection of variability at the leaf level.

Plant health mapping

RedEdge-P’s high-resolution multispectral outputs allow the generation of indices and composites to see individual chlorophyll levels in the plants and compare over time.

Fertilizer management

RedEdge-P’s high-res and accurate outputs allow easy identification of areas low in nutrients and help monitor the effects of fertilizer applications throughout the season and determine if, when, and where a new application is needed.

Disease identification

RedEdge-P captures a critical part of the light spectrum for studying plants (712–722 nm), called the red edge band. It is in this section of the spectrum that the first signs of stress start to show. Using analytics generated with the red edge band, it is possible to identify disease sooner and act faster to stop the spread.

Species differentiation

Some differences among species may not be visible to the naked eye. High-res multispectral data allows for species differentiation, weeds included, by highlighting characteristics such as chlorophyll content, vigor, and leaf size

Advanced crop scouting

High-res multispectral and RGB imagery provides advanced field scouting capabilities. In one flight, it is possible to collect accurate and geotagged information of a problem, making it easy to assess the situation and determine the appropriate intervention.

High-res 3D point clouds

RedEdge-P’s 5.1 megapixel panchromatic band provides over twice the ground resolution of the industry-standard RedEdge-MX, resulting in 3D point clouds with up to 4 times the point density.

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