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Change detection in rangeland environments using Landsat MSS data: A quantitative approach

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Abstract

A range forage utilization study on the Crow Creek Indian Reservation in central South Dakota provided the opportunity to use Landsat multispectral scanner (MSS) data for examining range condition trends. A procedure was developed to compare change in spectral reflectance over time for polygon areas, defined by resource type within management units. A t-test was used to evaluate changes in brightness and greenness within pastures between September 27, 1978, and September 18, 1983. The first principal component transformation from four-band MSS images for both dates was used as a measure of brightness. Greenness was measure using the second principal component transformation for both dates. Examination of the brightness date showed that the assumptions required for a valid t-test were met. The greenness data violated the assumption of independence between dates and was not used for trend comparisons. The t-values calculated from each polygon were coded into three groups: (1) those indicating significant brightness decrease, (2) those indicating significant brightness increase, and (3) those indicating no significant brightness change. Significance was determine at the 5-percent level. These results were formatted into an image, which is a preliminary product for evaluating range condition trends over a 5-year period.

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Publication type Conference Paper
Publication Subtype Conference Paper
Title Change detection in rangeland environments using Landsat MSS data: A quantitative approach
Year Published 1985
Language English
Publisher American Society for Photogrammetry and Remote Sensing
Publisher location Falls Church, VA
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 10 p.
Larger Work Type Book
Larger Work Subtype Monograph
Larger Work Title Pecora 10 Symposium
First page 169
Last page 178
Country United States
State South Dakota
Other Geospatial Crow Creek Indian Reservation
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