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Shanghai Jiaruice Electronic Technology Co., Ltd
Unmanned Aerial Vehicle Hyperspectral Imager
NegotiableUpdate on 05/06
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Overview
The spectral range of the unmanned aerial vehicle hyperspectral imaging instrument is 400-1700nm, with a spectral resolution better than 2.5nm. It can cover multiple bands such as visible light and near-infrared, and accurately capture subtle spectral differences of substances. $r $n $r $n Adaptation Platform: Adapted to the DJI M350/M300RTK flight platform, these mature unmanned aerial vehicle platforms can achieve flexible and stable flight, and adapt to hyperspectral data acquisition tasks in various complex environments.
Product Details
Unmanned Aerial Vehicle Hyperspectral Imagerspectral rangeThe spectral range is 400-1700nm, with a spectral resolution better than 2.5nm. It can cover multiple bands such as visible light and near-infrared, and accurately capture subtle spectral differences of substances.
Unmanned Aerial Vehicle Hyperspectral ImagerAdaptation platformAdapting to the DJI M350/M300RTK flight platform, with the help of these mature unmanned aerial vehicle platforms, flexible and stable flight can be achieved, and hyperspectral data acquisition tasks can be adapted to various complex environments.
data collectionUsing high signal-to-noise ratio and ultra high speed spectral scanning imaging devices, it can provide highly stable spectral image acquisition. At the same time, combined with self-developed high-efficiency and low-power image processing algorithms, it greatly extends the flight time of the entire machine and reduces system power consumption while ensuring data quality.
Application scenariosThis series of products is widely used in precision agriculture, crop growth and yield assessment, forest pest and disease monitoring and fire prevention monitoring, coastline and marine environment monitoring, lake and watershed environment monitoring and other fields. By measuring the spectral image information of plants, water bodies, soil and other land features in real time, it provides strong data support for related research and decision-making.
