Detecting Clay Minerals in Soils through Hyperspectral Remote Sensing
نویسندگان
چکیده
Images of representative clayey bare fields were chosen from a high spatial resolution hyperspectral dataset that was acquired with the prototypal airborne Hyper SIM-GA sensor from Selex Galileo simultaneously with ground soil spectral signatures and the collection of samples. After both the pre-processing and calibration of the SIM-GA data, the mapping procedure was developed using the 2-2.45 μm spectral region in which clay minerals can be spectrally detected. The comparison between the maps derived from the interpolation of the concentrations obtained from the traditional soil analyses and those obtained from the airborne remotely sensed images is shown and discussed and a complete soil mapping procedure is developed
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