Development and implementation of the northeastern Gulf of Mexico characterization and data information management system and data transfer computer demonstration
No abstract available.
Minerals Management Service↗
SEARCH · USGS Science
Results for “INformation”
Search indexed USGS publications on groundwater, aquifers, geologic maps, mineral resources and earthquakes. Explore source records by subject and place.
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College and university sources of remote sensing information
Research in remote-sensing applications has increased dramatically since the launch of the Earth Resources Technology Satellite-l (ERTS-l, renamed LANDSAT-I) and Skylab's Earth Resources Experiment Package (EREP). It is becoming increasingly more difficult to keep abreast of university research publications related to remote sensing. To assist researchers in locating those universities that are actively publishing research material in remote-sensing technology and applications, this paper lists major colleges by types of publications generated and by application oriented disciplines pursued, and includes a geographical index.
Photogrammetric Engineering and Remote Sensing↗
Some thoughts on cartographic and geographic information systems for the 1980's
The U.S. Geological Survey is adopting computer techniques to meet the expanding need for cartographic base category data. Digital methods are becoming increasingly important in the mapmaking process, and the demand is growing for physical, social, and economic data. Recognizing these emerging needs, the National Mapping Division began, several years ago, an active program to develop advanced digital methods to support cartographic and geographic data processing. An integrated digital cartographic database would meet the anticipated needs. Such a database would contain data from various sources, and could provide a variety of standard and customized map and digital data file products. This cartographic database soon will be technologically feasible. The present trends in the economics of cartographic and geographic data handling and the growing needs for integrated physical, social, and economic data make such a database virtually mandatory.
Pecora VII Symposium↗
State-of-the-art of fish and wildlife information systems in the United States
No abstract available.
Transactions of the North American Wildlife and Na↗
Obtaining biological information from grizzly bear ( Ursus arctos horribilis ) hair
Explore the source record for details and available documents.
Report↗
A study design to provide information for the bird-aircraft strike hazard programs
No abstract available.
Transactions of the Western Section of the Wildlif↗
Traditional and new methods to derive sediment-discharge information in the United States
No abstract available.
Conference Paper↗
Integrating geographic information systems for water resources research (stage I) in the National Parks
No abstract available.
Report↗
Reply to Efford on ‘Integrating resource selection information with spatial capture-recapture’
1. We proposed ( Methods in Ecology and Evolution , 2013, 4) a model for combining telemetry data with spatial capture–recapture (SCR) data that was vigorously criticized by Efford ( Methods in Ecology and Evolution , 2014, 000, 000). Efford's main claim was that our encounter probability model was incorrect, and therefore our R code and simulation results were wrong. 2. In fact, our encounter probability model is correct under the Poisson point process model that we used as a basis for our integrated model. On the other hand, the basis for Efford's claims clearly rest on the assumption of an alternative model which, while possibly useful, is distinct from that analysed in Royle et al. (Methods in Ecology and Evolution, 2013, 4). 3. A key point of Royle et al. ( Methods in Ecology and Evolution , 2013, 4) was that active resource selection induces heterogeneity in encounter probability which, if unaccounted for, should bias estimates of population size or density. The models of Royle et al. ( Methods in Ecology and Evolution , 2013, 4) and Efford ( Methods in Ecology and Evolution , 2014, 000, 000) merely amount to alternative models of resource selection, and hence varying amounts of heterogeneity in encounter probability.
Methods in Ecology and Evolution↗
Information through color imagery
The color-sensing capability of the human eye is a powerful tool. In remote sensing we should use color to display data more meaningfully, not to re-create the scene. Color disappears with distance, and features change color with viewing angle. Color infrared film lets us apply color with additional meaning even though we introduce a false color response. Although the marginal gray scale on an ERTS (Earth Resources Technology Satellite) image may indicate balance between the green, red, and infrared bands, and although each band may be printed in a primary color, tests show that we are not fully applying the three primary colors. Therefore, contrast in the green band should be raised. For true three-color remote sensing of the Earth, we must find two generally meaningful signatures in the visible spectrum, or perhaps extend our spectral range. Before turning to costly digital processing we should explore analog processing. Most ERTS users deal with relative spectral radiance; the few concerned with absolute radiance could use the computer-compatible tapes or special annotations. NASA (National Aeronautics and Space Administration), which assigns the range and contrast to the ERTS image, controls processing and could adjust the density range for maximum contrast in any ERTS scene. NASA cannot alter processing for local changes in reflective characteristics of the Earth but could adjust for Sun elevation and optimize the contrast in a given band.
Journal of Research of the U.S. Geological Survey↗