Application Of Hyperspectral Remote Sensing In Water Environment Monitoring In Daye Copper-iron Area

The geological environment problems caused by the exploitation of mineral resources in China are various,involving a wide range,great harm and serious situation.In recent years,with the rapid development of hyperspectral remote sensing technology,it is possible to obtain broad spectrum high-resolution remote sensing data,and its advantages in accurate classification and identification of ground objects will provide an effective method for remote sensing detailed monitoring and monitoring of geological environment.Remote sensing technology has such problems as fast speed,low cost,strong regional,large information,and complementary advantages to eliminate the omission caused by the investigation of conventional ground point line.It provides a scientific and reasonable basis for the planning of regional geological environment management.Using the Gaofen-2 satellite data(GF-2)and the environmental and disaster monitoring and forecasting small satellite constellation A star(HJ-1A)and other hyperspectral data,combined with GIS and other multi-source geographic data,the tonggreen Mountain Copper and iron mining area in Daye,Hubei Province,is used as the research area,and the geological environment monitoring is carried out.From the targeted data processing technology to the research of vegetation information and land use in mining area,the following progress have been made in the study of the high spectral water body of the mining area to the water pollution information reflection research:1.GF-2 multi spectral remote sensing satellite data enhanced the vegetation information by using the method of band ratios operation,and solved the problem that the tonal convergence in the natural color synthesis of the polluted water and vegetation in the mine geological environment is difficult to be identified.It is more conducive to the recognition and information extraction of the vegetation and water body,and thus the mineral resources are used for the mineral resources.A more accurate analysis of the condition of the geological environment.2.Using HJ-1A hyperspectral remote sensing data as data source,using humanmachine interaction visual interpretation,normalized difference water index method,supervised classification and so on,on the basis of endmember extraction,the accuracy of classification is evaluated on the basis of real object spectrum analysis.It is found that the overall classification accuracy,the mapping precision and the user accuracy are greatly increased after reducing dimension and multisource fusion.The hyperspectral HSI data,which illustrates the higher and finer spectral resolution,is superior to the multi spectrum in the accurate identification of the water body by the exponential method,which can greatly improve the recognition accuracy.3.By using the normalized difference water index and the density division method,the water information is extracted and the water quality gradient is classified.Combined with the characteristics of different color,hue and texture features are presented on the image due to the different pollution levels,it can accurately analyze the degree and distribution law of water pollution,and has important significance for the domestic high score data in mineral geology environment water pollution investigation.