Study on Inversion of Soil Salinity with Hyperspectral Remote Sensing

One experimental area in the city of DaQing in Heilongjiang province is took as an example to perform the quantitative inversion of soil salinity using Hyperion data in this paper. The inversion method of soil salinity using Hyperion data is discussed by the image pre-processing, the feature extraction and the establishment of BP neural network model. It gives a lot of help in soil survey system and promoting the development in quantitative retrieval of soil salinity. Meanwhile this model provide reference for solving other non-linear problems. If we have profit train data, this model can do the retrieval of other parameter.