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: 2456
A hybrid structure for the storage and manipulation of very large spatial data sets
The map data input and output problem for geographic information systems is rapidly diminishing with the increasing availability of mass digitizing, direct spatial data capture and graphics hardware based on raster technology. Although a large number of efficient raster-based algorithms exist for performing a wide variety of common tasks on these data, there are a number of procedures which are mo
Authors
Donna J. Peuquet
Ground-water applications of remote sensing
Remote sensing can be used as a tool to inventory springs and seeps and to interpret lithology, structure, and ground-water occurrence and quality. Thermograms are the best images for inventory of seeps and springs. The steps in aquifer mapping are image analysis and interpretation and ground-water interpretation. A ground-water interpretation is derived from a conceptual geologic model by inferri
Authors
Gerald K. Moore
Remote sensing applied to irrigation engineering
No abstract available.
Authors
Gary E. Johnson, Robert F. Vining, Thomas Loveland
Illustrated geomorphic classification of Icelandic volcanoes
In 1959, Sigurdur Thorarinsson published his first complete classification of the 13 principal types of basaltic volcanoes of Iceland (Figure 1). In 1968, Thorarinssonpublished a modification of his earlier classification scheme. Both landform classifications were based on the relationship of the type of eruptive products (lava, lava and tephra, or tephra), number of eruptions (one or more than on
Authors
Richard S. Williams, Elliot C. Morris
Image enhancement through film recorder response contouring
In contrast to the traditional recording from high-altitude aircraft of Earth images directly onto film in their inherently continuous analog form, a Landsat Earth resources satellite samples the ground image brightness and records it on a digital, electronic medium. Although digitization incurs several extra steps in the reproduction of the imagery, it permits manipulation or enhancement of the d
Authors
John E. Boyd
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 photographs were
Authors
Thomas R. Loveland, Gary E. Johnson
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 digital slop
Authors
James A. Sturdevant
Remote sensing data integration into a geographic information system for the creation of a biogenic hydrocarbon inventory of the San Francisco Bay area
No abstract available.
Authors
R. M. Moreland, Eugene A. Fosnight
Verification of land cover maps from Landsat data
No abstract available.
Authors
David S. Linden, John Szajgin
Assessing accuracy of digital land use and terrain data
No abstract available.
Authors
James A. Sturdevant
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 of probabl
Authors
Mark Shasby, Robert E. Burgan, Gregg R. Johnson