Yusense 6-BAND UNIVERSAL VERSION MULTISPECTRAL MS600 V2 (6-band spectrum, deep plowing industry application)

Six 1.2M pixel multi-spectral channels, sapphire optical window, large aperture, low distortion, broadband transmission, all-glass lens, aluminum alloy body, large dynamic range intelligent dimming, to meet precision agriculture, forestry monitoring, river and lake ecology, goals Identification and other industry application requirements.

Technical Parameters

Remarks: [1] The wavelength is standard, and the following 18 wavelengths are allowed to be customized (please consult Yuchen marketing personnel for details on the combination method and cost): 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@35nm (tolerance ±5nm). Shooting frequency: test results using storage media with a new transmission speed of U3 and above (sketch speed ≥ 60MB/s).

typical application

Growth assessment

Use vegetation factors such as NDVI and LAI to quantitatively describe the consistency of vegetation canopy states at different spatial scales, assist the characteristic spectra of vegetation in different health states, quantitatively evaluate the growth of vegetation, and provide data for irrigation, fertilization, plant protection, and yield assessment. support.

Black and odorous water body monitoring

With reference to the evaluation standards for surface black and odorous water bodies, the characteristic spectrum is used to construct a classification index to realize the graded inversion of black and odorous water bodies and spatial information statistics, to assist in the analysis of the impact of domestic sewage and industrial wastewater on surrounding water bodies, and to assist in the investigation of pollution sources and water environment assessment

Coverage Evaluation

Construct the vegetation index based on the fingerprint of the vegetation, complete the spatial distribution and area statistics of the target vegetation in the designated area, and provide quantitative vegetation canopy density data for scientific research and production in the fields of agriculture, forestry and grassland, and ecology.

Pine wood discoloration monitoring

Comprehensive use of spectrum and texture information to achieve efficient suppression of soil, hay and other environmental backgrounds and high-precision identification of discolored standing trees, and accurately extract information such as the position, spatial distribution, and canopy area of ​​discolored standing trees to provide data support for the control