Product Features
- 6 multi-spectral bands
- 1.2 million pixels
- 12-bit global shutter
- DJI X-Port control
- On-board real-time reflectivity calculation
- All channels synchronized imaging in 1 second
- Downlink light sensor (DLS) as standard
- DJI X-Port power supply, 64G TF card
- Timed, overlap rate and multiple trigger modes
- Customized for DJI M300/M350 RTK drones, plug and play
Technical Parameter
- Configuration mode: 6 multi-spectral channels
- Target size: 1/3”
- Effective pixel: 1.2Mpx
- Shutter type: Global
- Quantization bit: 12bit
- Field of view: 49.5°×38.1°
- Ground resolution: 8.65cm@h120m
- Coverage width: 110m×83m@h120m
- Spectral channel[1]: 450nm@30nm,555nm@27nm, 660nm@22nm,720nm@10nm,7 50nm@10nm, 840nm@30nm
- Optical window: Sapphire optical glass window
- Host size: ≤130mm×160mm×150mm (optical axis vertical to the ground)
- Host weight: ≤670g
- Installation interface: X-Port
- Power supply: X-Port
- Power consumption: ≤25W
- Image format: 16bit original TIFF & 8bit Reflectivity JPEG (including GPS and ambient light information)
- Video format —
- Storage medium: Standard 64G, maximum support 128G capacity (transmission speed U3 and above rating) micro SD card
- Parameter settings: DJI Pilot
- Shooting trigger: Overlap rate trigger, timing trigger
- Shooting frequency: 1Hz (related to the actual read and write speed of the storage medium)
- Working environment temperature: -10℃~+50℃ (relative wind speed ≥1m/s)
- Storage environment temperature: -30℃~+70℃
- Environmental humidity: RH(%)≤85% (non-condensing)
- Product certification: CE, FCC, RoHS
Note: [1] Standard wavelengths allow customization of the following 18 wavelength combinations (please contact us for details on combination methods and costs): 410nm@35nm, 450nm@30nm, 490nm@25nm, 530nm@27nm, 555nm@27nm, 570nm@32nm, 610nm@30nm, 650nm@27nm, 660nm@22nm, 680nm@25nm, 720nm@10nm, 720nm@15nm (Qualcomm), 750nm@10nm, 780nm@13nm, 800nm@35nm, 840nm@30nm, 900nm@35nm, 940nm@30nm (tolerance ±5nm).
Typical Application
Growth Assessment
Use vegetation factors such as NDVI and LAI to quantitatively describe the consistency of vegetation canopy status at different spatial scales, assist the characteristic spectra of vegetation under different health states, quantitatively evaluate the growth of vegetation, and provide data support for irrigation, fertilization, plant protection, yield assessment, etc.
Monitoring of Odorous Water Bodies
Refer to the evaluation standards for surface black and odorous water bodies, use characteristic spectra to construct classification indexes, realize the classification inversion and spatial information statistics of black and odorous water bodies, assist in analyzing the impact of domestic sewage, industrial wastewater, etc. on surrounding water bodies, and help pollution source investigation and water environment assessment.
Coverage Assessment
Construct vegetation index based on vegetation fingerprint spectrum, complete the spatial distribution and area statistics of target vegetation in the specified area, and provide quantitative vegetation canopy closure data for scientific research and production in agriculture, forestry, grass, ecology and other fields.
Monitoring of Pine Discoloration Standing Trees
Comprehensively use spectrum and texture information to achieve efficient suppression of environmental backgrounds such as soil and dead grass and high-precision identification of discolored standing trees, accurately extract information such as the location, spatial distribution and canopy area of discolored standing trees, and provide data support for diseased tree management.