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Publications

Below is a list of the most recent EROS peer-reviewed scientific papers, reports, fact sheets, and other publications. You can search all our publication holdings by type, topic, year, and order.

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Filter Total Items: 2630

The role of remotely sensed and other spatial data for predictive modeling: the Umatilla, Oregon example The role of remotely sensed and other spatial data for predictive modeling: the Umatilla, Oregon example

The U. S. Geological Survey's Earth Resources Observations Systems Data Center, in cooperation with the U.S. Army Corps of Engineers, Portland District, developed and tested techniques that used remotely sensed and other spatial data in predictive models to evaluate irrigation agriculture in the Umatilla River Basin of north-central Oregon. Landsat data and 1:24,000-scale aerial...
Authors
Thomas R. Loveland, Gary E. Johnson

The development and application of a county-level geographic database The development and application of a county-level geographic database

The purpose of this paper us to describe the collection of land use data by remote sensing techniques, the incorporation of land use, soils and slope data into a geographic database, and an application of geographic database techniques to a county planning problem. Land use data were successfully interpreted from aerial photographs and incorporated in a geographic database along with...
Authors
James A. Sturdevant

Broad area forest fuels and topography mapping using digital Landsat and terrain data Broad area forest fuels and topography mapping using digital Landsat and terrain data

A spatially registered digital data base of fuels and terrain information was generated for a test site on the Lolo National Forest in Montana. The data base was developed specifically for providing spatially relevant data to a mathematical fire behavior model developed by the Forest Service which integrates this information along with current weather data to produce realistic estimates...
Authors
Mark Shasby, Robert E. Burgan, Gregg R. Johnson

Evaluation of Landsat Multispectral Scanner data for mapping vegetated soil landscapes Evaluation of Landsat Multispectral Scanner data for mapping vegetated soil landscapes

Landsat multispectral scanner data for Brazos County, Texas, were evaluated in terms of effectiveness for classifying soils on vegetated landscapes at three times during the year: a time of normally adequate soil water, a time of expected soil water deficit, and a time when soil water is normally being replenished. Six test sites were used to evaluate LARSYS supervised and unsupervised
Authors
D. R. Thompson, Robert H. Haas, M. H. Milford
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