Features
5-band universal video multispectral camera Ysense AQ600 Pro
- Five Multi-spectral bands and one RGB sensor
- 3.2 Mpx multispectral and 12.3 Mpx RGB
- Fastest 1s synchronous imaging in all bands
- DJI X-Port power supply, 128GB SSD flash drive
- Multiple trigger modes for timing, and overlap ratio Dedicated to DJI M300/M350 RTK UAV
- On-board real-time spectrum inversion and video output
- It meets the application needs of precision agriculture, forestry monitoring, river and lake ecology, target recognition and other industries
Typical application
Water eutrophication monitoring
Referring to the eutrophic state ev-aluation standard, the classification index is constructed by using the characteristic spectrum to realize the classification inversion and spatial information statistics of watereutro-phication, to assist the analysis of the impact of farmland wastewater, fishery and aquaculture on the surr-ounding water body, and to assist the investigation of pollution sources and water environment assessment.
Black and smelly water monitoring
With reference to the evaluation standard of surface black and odorous water body, the classification index is constructed by using the characteristic spectrum to realize the hierarchical inversion and spatial information statistics of black and odorous water body, and to assist the analysis of the impact of domestic sewage and in-dustrial wastewater on the surrounding water body to assist the investigation of pollution sources and the assessment of water environment.
Vegetation coverage monitoring
Vegetation index was constructed based on the fingerprint spectrum of vegetation to complete the spatial distribution and area statistics of target vegetation in the designated area, and to provide quantitative vegetation canopy density data for scientific research and production inagriculture, forestry and grass, ecology and other fields.
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 ve-getation growth,which can prov-ide data support for irrigation, fe-rtilization, plant protection, yield evaluation and other work.
