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Approximating soil loss calculations with satellite data and multivariate regression analyses
Digital satellite remote sensing and Geographic Information Systems (GIS) have been used effectively to determine the Universal Soil Loss Equation (USLE) output for a number of North Texas watersheds. This method involves determining the values of each of the USLE factors and using these factors as information layers within the GIS.
Date:
December 1989
Creator:
Marr, Paul Gerard
System:
The UNT Digital Library
Structure and Function Relationships in a Complex Synthesizing Glycogen de Novo from Ascaris Suum
A complex which synthesized glycogen de novo has been purifiedfrom Ascaris suum. This complex (GS-2) consists of a 66 KDa protein, a 140 KDa protein, and a>330 KDa glycoprotein.
Date:
December 1989
Creator:
Heath, A. Chris
System:
The UNT Digital Library
Estimating Nonpoint Source Pollution in North Texas Watersheds through Remote Sensing and Geographic Information Systems
Monitoring nonpoint source pollution in a large area is often impractical. However, estimating nonpoint pollution through use of empirical models such as the Universal Soil Loss Equation (USLE) provides a basis for identifying problem areas, and setting management priorities. The purpose of this study was to determine the feasibility of using Landsat imagery and existing geographic data to estimate the effects of land use changes on water quality in four North Texas watersheds over a twelve year period.
Date:
December 1989
Creator:
Groome, Kristina M. (Kristina Martin)
System:
The UNT Digital Library