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
Vegetation mapping of Nowitna National Wildlife Refuge, Alaska using Landsat MSS digital data
A Landsat-derived vegetation map was prepared for Nowitna National Wildlife Refuge. The refuge lies within the middle boreal subzone of north central Alaska. Seven major vegetation classes and sixteen subclasses were recognized: forest (closed needleleaf, open needleleaf, needleleaf woodland, mixed, and broadleaf); broadleaf scrub (lowland, alluvial, subalpine); dwarf scrub (prostrate dwarf shrub
Authors
Stephen S. Talbot, Carl J. Markon
Vegetation and terrain mapping in Alaska using Landsat MSS and digital terrain data
During the past 5 years, the U.S. Geological Survey's (USGS) Earth Resources Observation Systems (EROS) Data Center Field Office in Anchorage, Alaska has worked cooperatively with Federal and State resource management agencies to produce land-cover and terrain maps for 245 million acres of Alaska. The need for current land-cover information in Alaska comes principally from the mandates of the Alas
Authors
Mark Shasby, David M. Carneggie
Processing techniques for the production of an experimental computer-generated shaded-relief map
An experimental computer-generated shaded-relief map of a topographic quadrangle of Nome, Alaska, at 1:1,000,000 scale was created to demonstrate current capabilities of map production. This paper describes the techniques used to produce the map product.
The data consisted of forty-eight 1° by 1° blocks of resampled digital elevation model (DEM) data. These data were digitally mosaicked and assign
Authors
Damon D. Judd
Recent developments in the U. S. Geological Survey's Landsat image mapping program
At the 1984 ASPRS-ACSM Convention in Washington, D. C. a paper on 'The Emerging U. S. Geological Survey Image Mapping Program' was presented that discussed recent satellite image mapping advancements and published products. Since then Landsat image mapping has become an integral part of the National Mapping Program. The Survey currently produces about 20 Landsat multispectral scanner (MSS) and The
Authors
Frederick S. Brownworth, Wayne G. Rohde
Repetitive digital NOAA-AVHRR data for Alaskan engineering and scientific applications
Selected digitally enhanced NOAA - Advanced Very High Resolution Radiometer (AVHRR) images taken by the NOAA 6, 7, 8 and 9 Polar Orbiting Satellites demonstrate the capability and application of repetitive low-resolution satellite data to Alaska's engineering and science community. Selected cloud-free visible and thermal infrared images are enhanced to depict distinct oceanographic and geologic pr
Authors
William M. Christie, Robert J. Pawlowski, Michael D. Fleming
Applications of Landsat data and the data base approach
A generalized methodology for applying digital Landsat data to resource inventory and assessment tasks is currently being used by several bureaux and agencies within the US Department of the Interior. The methodology includes definition of project objectives and output, identification of source materials, construction of the digital data base, performance of computer-assisted analyses, and generat
Authors
D. T. Lauer
Digital data base of lakes on the North Slope, Alaska
The National Mapping Division and Water Resources Division of the U.S. Geological Survey have produced a digital data base of approximately 23,330 lakes on the North Slope of Alaska. The inventoried region consists of the area north of the 69th parallel and is composed of sixteen 1° x 3° quadrangles. The data base includes (1) locations of lake centers in latitude and longitude, (2) a unique numbe
Authors
Kim-Marie Walker, James York, Dennis Murphy, C. E. Sloan
Applications of U.S. Geological Survey digital cartographic products, 1979-1983
The U.S. Geological Survey prepares and distributes fundamental, multipurpose cartographic data to a wide range of users throughout the United States. Recognizing that traditional cartographic procedures will eventually be replaced by digital techniques, the USGS is now actively developing computer-based methods to produce digital cartographic products. The digital cartographic products currently
Authors
Thomas R. Loveland, Benjamin S. Ramey
Predictive spatial modeling of narcotic crop growth patterns
Spatial models for predicting the geographic distribution of marijuana crops have been developed and are being evaluated for use in law enforcement programs. The models are based on growing condition preferences and on psychological inferences regarding grower behavior. Experiences of local law officials were used to derive the initial model, which was updated and improved as data from crop finds
Authors
Frederick A. Waltz, D. G. Moore
Vector data structure conversion at the EROS Data Center
With the increasing prevalence of GIS systems and the processing of spatial data, conversion of data from one system to another has become a more serious problem. This report describes the approach taken to arrive at a solution at the EROS Data Center. The report consists of a main section and a number of appendices. The methodology is described in the main section, while the appendices have syste
Authors
Jan W. van Roessel, S. W. Doescher
Automated derivation of hydrologic basin characteristics from digital elevation model data
Digital elevation model (DEM) data in a raster format can be used to automatically derive the drainage characteristics of an area. A procedure has been designed that is capable of operating on matrices of elevation data having no algorithmically imposed size limit, while performing within the resolution and accuracy tolerances of the DEM data. Each cell is processed as the center of a 3- by 3-cell
Authors
Susan K. Jenson
A relational approach to vector data structure conversion
The proliferation of geographic information systems and digital data bases is creating a need for efficient methods to convert data from one spatial data structure to another. One approach is to create ad hoc interfaces, with a potential of N(N-1) interfaces for N data structures. Using an intermediate data structure, at most 2N interfaces are required. An intermediate relational data structure is
Authors
Jan W. van Roessel, Eugene A. Fosnight