Mapping Of Several Soil Properties Using Dais-7915

E Ben-Dor, K Patkin, R Richter, A Muller, H Kaufmann

DECADE OF TRANS-EUROPEAN REMOTE SENSING COOPERATION(2001)

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摘要
The data acquired from the hyperspectral airborne sensor DAIS-7915 over Izrael Valley in northern Israel was processed to yield quantitative soil property maps of organic matter, soil field moisture, soil saturated moisture and soil salinity. The method adopted for this purpose was the Visible and Near Infrared Analysis (VNIRA) approach, which yields an empirical model for predicting the soil property in question from both wet chemistry and spectral information of a representative set of samples (calibration set). Following these examinations, a procedure was developed in order to create a soil property map of the entire area, including soils under vegetated areas. This procedure employed a random selection of more than 80 points along nonvegetated areas from the quantitative soil property images and interpolation of the points to yield an isocontour map for each property.
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