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Geology topics

William S. Kowalik

Publications and source records attributed to William S. Kowalik.

4 recordsLinked to original sources

A relation between landsat digital numbers, surface reflectance, and the cosine of the solar zenith angle

A method for estimating the reflectance of ground sites from satellite radiance data is proposed and tested. The method uses the known ground reflectance from several sites and satellite data gathered over a wide range of solar zenith angles. The method was tested on each of 10 different Landsat images using 10 small sites in the Walker Lake, Nevada area. Plots of raw Landsat digital numbers (DNs) versus the cosine of the solar zenith angle (cos Z) for the the test areas are linear, and the average correlation coefficients of the data for Landsat bands 4, 5, 6, and 7 are 0.94, 0.93, 0.94, and 0.94, respectively. Ground reflectance values for the 10 sites are proportional to the slope of the DN versus cos Z relation at each site. The slope of the DN versus cos Z relation for seven additional sites in Nevada and California were used to estimate the ground reflectances of those sites. The estimates for nearby sites are in error by an average of 1.2% and more distant sites are in error by 5.1%. The method can successfully estimate the reflectance of sites outside the original scene, but extrapolation of the reflectance estimation equations to other areas may violate assumptions of atmospheric homogeneity.

Nevada

Resolving the percentage of component terrains within single resolution elements

An approximate maximum likelihood technique employing a widely available (BMD) discriminant analysis program has been developed for resolving the percentage of component terrains within single resolution elements. The method employs all four channels of Landsat data simultaneously and does not require prior knowledge of the percentage of components in mixed pixels. For five test cases, the method proved to be superior to single band weighted average and linear regression techniques and permitted an estimate of the total area occupied by component terrains to within 6 percent of the true area covered. It is believed this accuracy should be sufficient for many geologic applications of Landsat multispectral data.

Photogrammetric Engineering and Remote Sensing

Evaluation of LANDSAT-2 (ERTS) images applied to geologic structures and mineral resources of South America: Type II progress report for period June 30, 1975-June 30, 1976

The author has identified the following significant results. The Salar of Coposa is located in northern Chile along the frontier with Bolivia. The surface was divided into six general classes of materials. Analysis of LANDSAT image 1243-14001 by use of interactive multispectral computer (Image 100) enabled accurate repetition of these general classes based on reflectance. The Salar of Uyuni is the largest of the South American evaporite deposits. Using image 1243-13595, and parallel piped computer classification of reflectance units, the Salar was divided into nine classes ranging from deep to shallow water, water over salt, salt saturated with water, and several classes of dry salt.

Salar de Coposa, Salar de Uyuni