Abstract
The paper describes efforts by a research team to automate methods of air photo interpretation in order to speed up and make more objective the interpretation process in compiling maps of soil salinization. The basic (inductive) approach involved the determination of spectral brightness coefficients and image photodensities for areas known to have specific characteristics with respect to relative areas of healthy and dead cotton plants and soil salinity. Attention is then devoted to the use of these relationships in algorithms used to discriminate saline, nonsaline, and mixed (saline/nonsaline) areas. Translated by Edward Torrey, Alexandria, VA 22308 from: Aerokosmicheskiye metody v pochvovedenii i ikh ispol'zovaniye v sel'skom khozyaystve: sbornik nauchnykh trudov [Remote Sensing Methods in Soil Science and Their Utilization in Agriculture: A Collection of Scientific Works]. Moscow: Nauka, 1990, pp. 226–231.
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