Product features
- 5 multi-spectral & 1 RGB
- 3.2M & 12.3M pixels
- 12bit Global & 8bit Rolling Shutter
- DJI X-Port control
- Synchronized imaging of all channels in as little as 1s
- Onboard real-time spectral inversion, video output
- Standard downlink light sensor (DLS)
- DJI X-Port power supply, 128G solid-state USB flash drive
- Timing, overlap rate multiple trigger modes
- DJI M300/M350 RTK drone customization, plug and play
Technical Specifications
| The index name | AQ600 Pro |
| Band configuration | Five Multi-spectral bands and one RGB sensor |
| Target surface size | MS: 1/1.8″; RGB: 1/2.3″ |
| Effective pixels | MS: 3.2Mpx; RGB: 12.3Mpx |
| Shutter type | Global shutter/Shutter |
| Quantitative figures | MS: 12bit; RGB: 8bit |
| Viewing Angle | MS: 48.8°×37.5°; RGB: 47.4°×36.4° |
| GSD | MS: 5.28cm@h120m; RGB: 2.60cm@h120m |
| Image size | MS 109m×82m@h120m; RGB: 106m×79m@h120m |
| Spectral band | 450nm@35nm, 555nm@27nm,660nm@22nm, 720nm@10nm,840nm@30nm, RGB |
| Optical window | Sapphire optical window |
| Size | 129mm×156mm×162mm |
| Weight | 826g(Camera & DLS Pro & USB flash disk) |
| Installation interface | X-Port |
| Power supply mode | X-Port |
| Power consumption | 10W/15W |
| Image format | MS:16bit original TIFF image & 8bit reflflectance JPG; RGB: 8bit JPG |
| Viedo format | MP4 |
| Storage medium | Standard with 128GB,A maximum of 2TB is supported |
| Parameter setting | Yusense Fly / DJI Pilot |
| Picture mode | Aircraft trigger ,Overlap trigger |
| Frequency of taking pictures | Picture mode:1Hz, Video mode:20Hz |
| Operating ambient temperature | -10ºC~+50ºC(Relative wind speed≥1m/s) |
| Storage Environment Temperature | -30ºC~+70ºC |
| Environmental humidity | RH(%)≤85%(Non condensation) |
| Product certification | CE,FCC,RoHS |
Application
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.
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