This is some of the Hyperspectral camera application that in different fields.
1:Using hyperspectral technology to study the progress of river water quality, selecting a classic model that monitors the concentration and turbidity of suspended solids, using a drone equipped with a hyperspectral camera to obtain river image data in Zhongshan City, and then inverting Zhongshan City based on the classic model The concentration and turbidity of the suspended solids in the river, and the results of the study are of great significance for ensuring the daily life of the residents around the river.
2:Use the Find Rows and Remove Outliers tool to identify crops sorted row by row in an area, and remove weeds, weeds and other foreign objects. Kind Reminder: drone hyperspectral realizes accurate crop positioning and distinguishes the size and health of crops. It is necessary to ensure the spectral accuracy of hyperspectral images and high image resolution.
3:When there is more than one crop, rapid classification and identification is very important, because different crops have different types and amounts of fertilizer. If only fertilizing according to the growth map, some crops may be over-fertilized while others are under-fertilized. Compared with the multi-spectral system, the UAV hyperspectral camera has more spectrum bands and higher spectral resolution, so it can obtain different responses of different crops in different wavelength bands, thereby achieving rapid and effective identification. Its recognition rate can be as high as 95%.
4:Farmers can choose different vegetation indices to reflect crop growth and diseases during the process of acquiring images by the UAV hyperspectral camera. Vegetation indices such as Green Normalized Vegetation Index (GNDVI), Modified Chlorophyll Absorption Index (TCARI), Visible Light Atmospheric Impedance Index (VARI) Ratio Vegetation Index (RVI), Soil Regulated Vegetation Index (OSAVI). Farmers can also choose to directly reflect crop indicators, such as leaf nitrogen, phosphorus and potassium content, chlorophyll content, leaf area index, P content, and K content. Users can also customize the vegetation index for real-time demonstration according to their needs, as shown in Figures 1 and 2.
5:The drone hyperspectral camera sensors can obtain the distribution map of soil moisture content, total soil fertility content and organic matter content during its hyperspectral image collection process. According to the soil moisture content and soil fertility distribution map, farmers can irrigate and fertilize quantitatively, thereby solving expenses and avoiding environmental pollution.
6:Analysis of Tobacco Biochemical Index
7:Classification of Mangrove Tree Species and NDVI Growth Map