Description

Five 3.2-megapixel multispectral channels and one 12.3-megapixel RGB channel. Sapphire optical window, large aperture, low distortion, broadband projection, all-glass lens and an aluminum alloy camera housing.In addition, AQ600 Pro can transmit spectral remote sensing video and output results in real time, which provides new technical means for precision agriculture, forestry monitoring, river monitoring, ecological protection, target recognition and other industrial applications.

Features

• Five Multi-spectral bands and one RGB sensor.
• 3.2 megapixel multispectral and 12.3 megapixel RGB.
• Multi-spectral 12bit global shutter and RGB 8bit shutter.
• DJI X-Port interface can be used after installation.
• All bands take photos simultaneously at the fastest 1s.
• Real-time spectral inversion and output video.
• Downlink light sensor(DLS).
• 128GB SSD flash drive, supports a maximum of 1TB SSD.
• Support aircraft trigger and overlap trigger.
• Deep integration with M300, Pilot software integrated control.

Condition monitoring

By using vegetation factors such as NDVI and LAI, quantifying the consistency of vegetation canopy status at different spatial scales, and using characteristic spectra of vegetation in different health states to quantitatively assess vegetation growth,which can provide data support for irrigation, fertilization, plant protection, yield evaluation and other work.

Discolored pine monitoring

Using spectrum and texture information to achieve efficient suppression of the environmental background of soil, withered grass and other objects and high-precision identification of color-change pine. By accurately extracting the location, spatial distribution and canopy area of color-changing pine trees, we can provide data support for the management of diseased trees.

Black and smelly water monitoring

By referring to the evaluation standard of surface black and smelly water, using the characteristic spectrum of black and smelly water to construct the classification index to achieve black and smelly water classification inversion and spatial information statistics. This technology can assist in analyzing the influence of domestic sewage and industrial wastewater on surrounding water, and finally help pollution source investigation and water environment assessment.