Machine-assisted analysis of Landsat data in the study of crop-soils relationships

Open-File Report 76-603



To date, relatively few studies have dealt with crop-soil interactions as they affect the appearance of agricultural areas on Landsat imagery, and hence crop and soil classification or the analysis of agricultural land use.

The Image 100, a computer-based data analysis system which allows an interpreter to interact directly and rapidly with Landsat computer compatible tape data, provided a tool to assist in the evaluation of the extent and significance of these interactions. Used with timely and accurate ground data, the system made possible a determination of the variability in crop spectral appearance, from soil type to soil type, as recorded on Landsat data. Information was provided in the form of spectral distribution histrograms for each crop-soil class on each Landsat band. Several crop categories in a test area in  rookings County, South Dakota, were classified using training fields that were selected to be representative of each major crop-soil class. Accuracies in each case, on a total acreage basis, were greater than 90 percent.

Study Area

Additional publication details

Publication type Report
Publication Subtype USGS Numbered Series
Title Machine-assisted analysis of Landsat data in the study of crop-soils relationships
Series title Open-File Report
Series number 76-603
DOI 10.3133/ofr76603
Year Published 1976
Language English
Publisher U.S. Geological Survey
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 19 p.
Country United States
State South Dakota
County Brookings County
Online Only (Y/N) N
Additional Online Files (Y/N) N