Hyperspectral remote sensing technology is widely used in agricultural remote sensing monitoring.

In the past, it was necessary to check whether a piece of land had been plowed or not, but now it can be easily identified by using hyperspectral remote sensing technology.

Because the structure and moisture of the soil will change after being ploughed, hyperspectral remote sensing technology can identify the changes of ploughed soil and undisturbed soil according to this subtle soil quality change.

At present, remote sensing monitoring platforms for agricultural conditions have been launched in many areas, such as the three-dimensional intelligent agricultural insurance system developed by Feiyan Remote Sensing, which collects information such as farmland, crops, meteorology and disasters through remote sensing big data, and monitors the use of farmland, changes in planting structure, agricultural conditions and agricultural disasters. It not only provides decision-making basis for the government to guide agricultural production, formulate agricultural policies, issue subsidies and prevent and reduce disasters; It also provides an objective basis for insurance companies to underwrite before the disaster and settle claims after the disaster; It also provides pre-loan credit data and post-loan supervision for bank agricultural loans.

Hyperspectral remote sensing also plays an important role in the prevention and control of water pollution. Traditional monitoring of black and odorous water mainly depends on manual measurement on the ground, which is time-consuming and laborious. The number of sampling site layout and monitoring frequency are limited, and efficient remote sensing technology can help it. Because there are obvious differences in spectral characteristics and chromaticity between black and odorous water bodies and other normal water bodies.