a fuzzy neural network application in remote sensing

aggregation of spatial remote sensing data slope aspect soil depth and rock permeability to assess the risk of desertification of a burned forest by a neural network is studied expert rules which relate the variables to conclusions are used to train the network uncertainty in the data due to subsampling and interpolation is incorporated by using empirical models in the membership function definition process.