Remote Sensing Monitoring Mechanism Model for Heavy Metal CdPollution in Rice Farmland Based on Hyperspectral Data

摘要

As one of the significant ecological environment problems, heavy metal pollution associates closely with environmentquality, human existence and security of food supplies. The remote sensing pollution mechanism in soil pollution-Cd isdiscussed by researching into the status of rice leaf polluted-Cd in this paper. The response relationships betweenremote sensing information parameters, which reflected the vegetation structure, physicochemical properties andbiologic parameters of soil-vegetation system, and soil polluted degree by Cd element are analyzed based on Hyperionsatellite data and a great number of ground experiment data. To extract remote sensing parameter to Cd pollution,multiple discriminant analysis (MDA) was applied over the data, which is sensitive to rice chlorophyll, rice leafmoisture, rice cell structure and rice LAI. The remote sensing mechanism models of Cd pollution in rice soil areestablished, including MCARI-NDWI model, MCARI-RVSI model, MCARI-RVI model, NDWI-RVSI model, NDWI-RVI model and RVSI-RVI model. The research results indicated that the pollution monitoring of soil Cd element inlarge scale might carry on initially according to these models, because different Cd pollution degrees are in differentpositions of these models, however, the precision of pollution models need be further improved.