Digital Commons Network^™

A Software Science Analysis Of Cobol Programs, V. Y. Shen, Herbert E. Dunsmore

Department of Computer Science Technical Reports

No abstract provided.

A Combinatorial Problem Concerning Processor Interconnection Networks, Michael J. O'Donnell, Carl H. Smith

Department of Computer Science Technical Reports

No abstract provided.

Validating System Models: A Case Study, H. D. Schwetman

Department of Computer Science Technical Reports

No abstract provided.

Effort Minimization Based On Hierarchical Modularization, S. D. Conte

Department of Computer Science Technical Reports

No abstract provided.

Automatic, Remote Status Lights For Vax Unix, Douglas E. Comer, Robert L. Brown

Department of Computer Science Technical Reports

No abstract provided.

On The Effectiveness Of Iteration For The Galerkin Method Equations, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

The Effects Of Added Softening Agents Upon The Behavior Of Cold Recycled Asphalt Mixtures : Interim Report, Akio Iida

JTRP Technical Reports

No abstract provided.

The Fabric Of A Medium Plastic Clay Compacted In The Laboratory And In The Field : Interim Report, Dean Matthews White

JTRP Technical Reports

No abstract provided.

Processing Storage, Retrieval And Analysis Of Resource Data In The Eighties, Ralph Bernstein

LARS Symposia

No abstract provided.

Beyond Freshman Comp: Expanded Uses Of The Writing Lab, Muriel Harris, Kathleen Blake Yancey

The Writing Center Journal

No abstract provided.

Automatic Processing Of Computer Compatible Tapes With Data From Multispectral Scanners Installed In Landsat Satellites, Norberto Scquizzato

LARS Symposia

STAI is the Spanish acronym for the digital data analysis system for information processing from Multispectral sensors of LANDSAT satellites, or, from the Multispectral Multiband Scanner System (Sistema Multiespectral para Obtencion de Informacion - SAMPOI) which the National Commission on Space Research (Argentine Republic) has installed at the Vicente Lopez Teleobservation Center (Centro de Teleobservacidn Vicente Lopez).

The STAI can be included among the digital processing systems called as interactive, having a great input and output diversification, but also having pre-processing capacity since it can convert HDDT, High Density Digital Tapes, from the SAMPOI Scanner into CCT, Computer Compatible Tapes.

Context Distribution Estimation For Contextual Classification Of Multispectral Image Data, James C. Tilton, Philip H. Swain, Stephen B. Vardeman

LARS Symposia

A classification algorithm incorporating contextual information in a general, statistical manner is presented. Methods are investigated for obtaining adequate estimates of the context distribution (a statistical characterization of context) upon which the classification algorithm depends. Finally, a method of estimating optimal algorithm parameters prior to performing preliminary classifications is explored.

Recent Activities In The Management Of Satellite Acquired Earth Resource Data---A Report From The Geosat Committee, Wesley G. Rice

LARS Symposia

At the 1977 Annual Meeting of the Geosat Committee, Inc., a subcommittee was proposed by the President that would address itself to the various aspects of the ground segment of satellite data collection systems. The establishment of this subcommittee was accepted by the Geosat Board of Directors. Charged with the objective of investigating the needs of the user community and conveying these findings, the Subcommittee has been active in these areas since May, 1978. During these past two years, these needs of the user community have been surveyed and the resulting information has been conveyed through the Geosat Committee to …

A Survey Of Soil Information Systems, Stein N. Bie

LARS Symposia

No abstract provided.

Mapping Growing Conditions Of Crops From Landsat Data, P. Chagarlamudi, J. S. Schubert, A. R. Mack

LARS Symposia

An automatic method of mapping crop growing conditions from Landsat data has been developed. The method uses only current Landsat data and yield models derived from historical Landsat and crop phenology data. These models have been developed for spring and winter wheat in the Northern Hemisphere environment. The maps are useful to marketing, international service and relief organizations in estimating domestic and foreign yields of major crops.

Growing conditions of crops are often evaluated by ground observation of the density of plants in grain fields. Landsat data were used in this study to estimate these densities. The method is based …

Geologic Interpretation Of Remote Sensor Data For The Big Desert Area Of Idaho, M. Poljak, D. W. Levandowski, R. A. Weismiller

LARS Symposia

Investigated area covers basalt lava flows in the Big Desert Area and surroundings, Landsat data collected August 23, 1978, covering the area roughly from 112°45' to 114°00' west and 43°00' to 43°45' north was used for the analysis.

To facilitate computer analysis procedures, the area was divided into two equal parts: eastern and western, A systematic procedure was used to sample and cluster data representing 2% of the area. The resulting cluster classes were merged until the divergences between classes were generally greater than 1500. This resulted in 22 and 19 separable spectral classes for the eastern and western parts, …

Interactive Processing Of Landsat Image For Morphopedological Studies, Denis Chaume, Nguyen Phu Thien

LARS Symposia

With the increasing amount of data made available from Landsat there is a clear need for an integrated method of soil mapping in which these data can be exploited to provide valuable information for the various stages of conventional soil mapping:

- preliminary study

- detail mapping

- verification of the results of photo-interpretation

- updating of soil map by temporal study

A joint research study was initiated between the Scientific Center of IBM France and IRAT, the Tropical Agriculture Research Institute to investigate these possible contributions.

Soil Taxometrics: Results From A West-German Data Bank, J. Lamp

LARS Symposia

The terms of general soil classification systems serve within soil information systems not only as main criteria for storing and cross referencing data, The classes or taxons of soil classification may also be checked and improved by taxometric evaluations on data of the information system itself.

By means of a soil data bank of about 2000 profiles and 10,000 horizons, which were collected from West-German institutions of soil survey, results were evaluated by various taxometric methods.

Temporal Analysis Of Landsat Data For Land Use Mapping, J. A. Shields, C. Goodfellow

LARS Symposia

Landsat digital data over a period of seven years was used to study the agricultural land use systems of an area in Central Saskatchewan. The study area is situated on the second step of the Great Plains region about 300 km north of the Canada/U.S. border. It is dominated by Dark Brown and Black Chernozemic Soils on hummocky and undulating morainal materials, although there is a small island of Gray Luvisolic Soils within the area. Local relief ranges from 2 m to 30 m with slope gradients from 2 to 32%.

General land use was mapped by township for the …

Earth Observations Division Landsat Imagery Preprocessing System, P. M. Hinson, C. H. Jeffress

LARS Symposia

The Earth Observations Division (EOD) at NASA's Lyndon B. Johnson Space Center (JSC) has recently placed into operation a new system to receive and process the Landsat imagery output of the Master Data Processor (MDP) located at the Goddard Space Flight Center (GSFC). The main purposes of the EOD System are to (1) extract areas of interest (AOI) from full scenes (170 km × 185 km) and (2) provide source data to users of Landsat imagery. The EOD system consists of two major subsystems: Multi-spectral scanner (MSS) imagery reception and AOI extraction.

The imagery reception subsystem acquires the data signal …

The Lulea Image Processing System (Lips) - A Versatile Approach To Earth Resources Data Processing, Hans Hauska

LARS Symposia

The Lulea Image Processing System is presented in this paper. Some fundamental system design criteria are discussed together with some aspects of the actual implementation. The system is structured in two levels in form of a pseudo-overlay. The layout of the Image Data File is recognized as an integral part of system architecture. A number of major processing tasks discussed in detail.

An Examination Of Requirements For A Soils Resource Information System, David L. Anderson, Kim L. Stevens, Robert D. Heil

LARS Symposia

An investigation was conducted into the necessary components, structure and feasibility of a comprehensive, user-oriented, Soils Resource information System (SRIS). The approach to development involves four stages: (1) analysis, ( 2) pilot development, ( 3) prototype development, and (4) implementation. In the analysis phase, soil information users were interviewed to determine their information needs. A pilot SRIS has been developed utilizing five components: a soil map unit database, soil interpretation database, Pedon Characterization database, climatology database, and a range database. The pilot is controlled by SYSTEM 2000, a database management system. This system features interactive query and response, and a …

Landsat As A Data Source In The Analysis Of Soil Salinization On The Upper Nile, Daniel Cooper, Jerry C. Coiner

LARS Symposia

Desertification is caused by two major factors--climatic variation and human modification of the environment. Irrigation in arid regions may play a role in causing desertification by increasing the amount of land that undergoes the process of soil salinization, thereby decreasing the ability of a region to support vegetation.

The purpose of this paper is to report preliminary studies, incorporating Landsat data, on the location, magnitude and collateral effects of salinization. The study area is the Kom Ombo region of the Upper Nile valley about forty miles north of the Aswan High Dam. Landsat data are studied using a microcomputer-based interactive …

Fine Structure In The Spectral Reflectance Of Vegetation And Soils, V. C. Vanderbilt, E. R. Stoner, L. L. Biehl, B. F. Robinson, R. A. Weismiller, M. E. Bauer

LARS Symposia

The spectral reflective response of plants, soils, and rocks may contain information concentrated in relatively narrow spectral regions defined by the light absorption properties of the constituent atoms and molecules. The hope exists that such information will be of value in remote sensing in discriminating information classes, in identifying growth stages and stress conditions in crops, and in delineating the chemical and physical properties of soils and rocks. Satellite sensors measuring spectral regions possibly as narrow as 0.02 µm, a spectral resolution significantly better than that (0.1 µm) of the Landsat multispectral scanner, appear feasible.

Fine structure in crop spectra …

Land Surface Feature Delineation Of Rural Central Java Region Using Data Enhancement Techniques Applied To Digitized Landsat Mss Data, Kamlesh Lulla, Abu Rahman, Paul Mausel

LARS Symposia

The use of rotated and non-rotated principal component and vegetation (green biomass) indices to enhance original four band Landsat MSS data has a potential to improve delineation of surface features particularly in underdeveloped regions of the world which have a paucity of organized ground truth. It is vital to analyze and display Landsat data in forms which highlight features of interest most effectively especially in areas with limited or outdated surface data. Principal component and biomass ratio forms of Landsat data have proven to have the ability to identify selected land surface features better than using original Landsat data, consequently …

Development Of A Digital Data Base For Reflectance-Related Soil Information, Eric R. Stoner, L. Biehl

LARS Symposia

No abstract provided.

The Auxiliary Use Of Landsat Data In Estimating Crop Yields: Results Of 1978 Iowa Feasibility Study, Richard Sigman, Greg Larsen

LARS Symposia

Each year from late May to early June, the Economics, Statistics, and Cooperatives Service (ESCS) of the U.S. Department of Agriculture conducts a nationwide June Enumerative Survey (JES), consisting of interviews with farm operators in randomly selected area-sample units called segments, which are typically one square mile in size. Later in the growing season, crop yields are estimated from biological measurements conducted in small plots of land only a few square meters in size, which have been selected by two-stage subsampling from JES segments. The first stage of the subsampling is for fields planted to the crop of interest; second-stage …

Relationship Between Scene Characteristics And Landsat Classification Performance Of Corn And Soybeans, Getulio T. Batista, Marilyn M. Hixson, Marvin E. Bauer

LARS Symposia

Accuracy of classification of Landsat MSS data depends on a number of parameters such as scene characteristics, training, classification, and area estimation procedures selected. The variability in accuracy that one may find using the same classification procedure applied at different locations is due primarily to scene variability. The understanding of the way that characteristics of a scene affect classifier performance is an important step to determine the amount of training, classification algorithm, and area estimation procedures that would be suitable to achieve an optimal accuracy.

The objective of this paper was to sample a variety of corn and soybean areas …

Development Of Spectral Maps For Soil Vegetation Mapping In The Big Desert Area, Idaho, L. J. Lund, R. A. Weismiller, S. J. Kirstof, F. R. Kirschner, D. Harrison

LARS Symposia

Spectral maps were developed using unsupervised digital classification techniques for 1.5 million acres in Idaho to aid the USDA/Soil Conservation Service in preparing a third order soil survey. The area of interest is roughly bounded by 112°45' and 114°00' west and 43°00' and 43°45' north. Mixed alluvium with minor amounts of loess and cinders are the principal soil parent materials of the area which is characterized by rough lava flows, cinder cones, mountains, alluvial fans and valleys of low relief. The soil temperature regime is frigid and the soil moisture regimes vary from aridic to xeric. The native vegetation consists …

Stratification Of Landsat Data By Uniformity Productivity Of Soils, Jane Schubert, Pak Chagarlamudi, Jack A. Shields, Alex R. Mack

LARS Symposia

The goal of this study was to develop and verify methods to use Landsat data for mapping and quantifying the productivity of soil areas on which the annual yields of spring wheat exposed to the same weather conditions are generally different.

The study was done in two parts. First, a calibration study was done to determine which features visible on Landsat imagery were associated with different relative productivities. Then, in a two-part accuracy verification study, Uniform Productivity Area (UPA) boundaries were drawn on three ma sheets 1:250,000 Canadian National Topographic System) and the relative productivity of each UPA within 25 …