MicaSense
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Two cameras, one workflow
Correlate drone and satellite data
The RedEdge-P dual bands cover Landsat 8 and Sentinel-2 satellite bands (~10 m / 32 ft per pixel) at an enhanced spatial resolution of 2 cm / 0.8 in. It enables the use of many indices already created using satellites.
Conduct time-series analysis
The RedEdge-P dual multispectral kit comes with a Calibrated Reflectance Panel (CRP) and a Downwelling Light Sensor (DLS). These radiometric calibration tools account for different weather and light conditions, providing data that enables reliable time series analysis and comparability of outputs over time.
Perform AI applications
The RedEdge-P dual‘s panchromatic band enables high-resolution RGB and multispectral imagery for machine learning applications, such as early-stage crop counting.
Compatible with a wide range of software
The RedEdge-P dual is compatible with the DJI Matrice 300 and DeltaQuad Evo drones. The camera features an open API interface for easy integration with most flight planning and post-processing software, including Measure Ground Control.
Get insights invisible to the naked eye
Simultaneous capture of all bands, enabling multiple high-resolution outputs and indexes, such as RGB, NDVI, NDRE, OSAVI, NIT, CIR, DSM and more.
Made in USA
MicaSense series sensors are manufactured in the U.S. (NDAA compliant) and employed at academic, private and government institutions worldwide since 2014.
Double the analysis potential
Ten multispectral bands
The RedEdge-P dual bands cover Landsat 8 and Sentinel-2 satellite bands at an enhanced spatial resolution.
Panchromatic band for enhanced resolution
The RedEdge-P dual enables a GSD of 2 cm per pixel / 0.8 in per pixel when flying at 60 m / 200 ft. Sharper imagery allows you to spot smaller problems sooner and make reliable decisions.
Coastal blue band
RedEdge-P dual unique coastal blue band is specially designed for water vegetation analysis and weeds identification in shallow water environments.
Narrow bands
Spectral narrow bands are key to detecting subtle variations in plant health and allow for more precise data. The RedEdge-P dual is a narrow-band sensor that captures the most relevant segments of the spectral curve.
Double calibration
The DLS light sensor and CRP reflectance panel are one of a kind in the market and allow accurate and reliable data in varying light conditions, enabling time series analysis.
Global shutter
On all 10 lenses that withstands vibration without degrading image quality. The global shutter of the RedEdge-P dual allows for distortion-free image captures.
Up to 3 images/second
CFexpress card of 128 GB storage enables up to three captures per second and immediate turnaround time between flights by swapping cards.
Synchronized capture
Synchronized capture of all 10-bands, automatic triggering and geotagging of images for efficient flight times and easy post-processing
Weight: 745 g / 26.2 oz (two sensors, mounting hardware, DLS, and cable)
Dimensions: 13.2 cm x 8.8 cm x 9.67 cm / 5.1 in x 3.1 in x 3.5 in
External Power: 7.0 V - 25.2 V
Power Inputl: 11/14.0/20W (standby, average, peak)
Sensor Resolution: 1456 x 1088 (1.6 MP per multispectral band), 2464 x 2056 (5.1 MP panchromatic band)
Spectral Bands: Coastal blue 444(28)*, Blue 475(32), Green 531(14)*, Green 560(27), Red 650(16)*, Red 668(14), Red Edge 705(10)*, Red Edge 717(12), Near-IR 740(18)*, Near-IR 842(57)
RGB Color Output: 5.1 MP* (global shutter, aligned with all bands) *with appropriate post-processing
Capture Rate: Up to 3 captures per second raw DNG - Capture rates vary based on write speed of USB storage device
Multispec GSD (per multispec band): 7.7 cm / 3 in per pixel at 120 m / ~400 ft AGL
Panchro & Pansharpened GSD: 3.98 cm / 1.5 in per pixel at 120 m / ~400 ft AGL
Interfaces: Three configurable GPIO: select from trigger input, PPS input, PPS output, and top of frame signals. Host virtual button. USB 2.0 port for WiFi. Serial. 10/100/1000 Ethernet.
Field of View: 50° HFOV x 38° VFOV (multispectral), 44° HFOV x 38° VFOV (panchromatic)
Storage: CFexpress card
