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James A. Sturdevant

Publications and source records attributed to James A. Sturdevant.

6 recordsLinked to original sources

Toward a Federal Land Information System: Experiences and issues

From 1983 to 1987, the U.S. Geological Survey conducted research to develop a national resource data base of Federal lands under the auspices of the Federal Land Information System (FLIS) program. The program's goal was to develop the capability to provide information to national mineral-use policymakers. Prototype spatial data bases containing mineral, land status, and base cartographic data were developed for the Medford, Oreg., area, the State of Alaska, and the Silver City, N. Mex., area. Other accomplishments included (1) the preparation of a digital format for U.S. Geological Survey mineral assessment data and (2) the development of a procedure for integrating parcel-level tabular Alaska land status data into a section-level geographic information system. Overall findings indicated that both vector and raster capabilities are required for a FLIS and that nationwide data availability is a limiting factor in FLIS development. As a result of a 1986 interbureau (U.S. Geological Survey, Bureau of Land Management, and Bureau of Mines) review of the FLIS program, activities were redirected to undertake research on large-area geographic information system techniques. Land use and land cover data generalization strategies were tested, and areafiltering software was found to be the optimum type. In addition, a procedure was developed for transferring tabular land status data of surveyed areas in the contiguous 48 States to spatial data for use in geographic information systems. The U.S. Geological Survey FLIS program, as an administrative unit, ended in 1987, but FLIS-related research on large-area geographic information systems continues.

Bulletin

Testing the consistency for mapping urban vegetation with high-altitude aerial photographs and landsat MSS data

Two methods of analysis were evaluated for mapping urban vegetation on high-altitude, color-infrared aerial photographs and Landsat MSS data of Syracuse, NY. The first method consisted of defining the spatial patterns (strata) of urban vegetation occurrence. The second method discriminated woody and herbaceous vegetation classes within defined strata. Emphasis was placed on evaluating the consistency of each method. Results indicate that consistent spatial patterns of urban vegetation strata were not achieved on either of the two data types tested due to the spatial complexity of the urban vegetation. However, for discriminating woody and herbaceous vegetation classes within defined strata, good consistency was noted among the interpreters of the high-altitude aerial photographs. The coarse spatial resolution of the Landsat MSS data resulted in low precision for identifying these two vegetation classes in this highly urbanized area. Where photointerpretation efforts are intended for mapping vegetation within numerous urban areas, the estimation of proportions of vegetation classes within defined strata should be a data analysis procedure more objective and consistently repeatable than is the delineation of vegetation patterns.

New York

The availability of conventional forms of remotely sensed data

For decades Federal and State agencies have been collecting aerial photographs of various film types and scales over parts of the United States. More recently, worldwide Earth resources data acquired by orbiting satellites have inundated the remote sensing community. Determining the types of remotely sensed data that are publicly available can be confusing to the land-resource manager, planner, and scientist. This paper is a summary of the more commonly used types of remotely sensed data (aircraft and satellite) and their public availability. Special emphasis is placed on the National High-Altitude Photography (NHAP) program and future remote-sensing satellites.

Journal of Applied Photographic Engineering

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 slope and soils data. All data were registered to a common map base and rasterized to 50- by 50-meter grid cells. Data combination procedures were applied to the database to produce an image depicting areas of relative suitability for dwelling unit construction. This image can be used for planning future urban development. However, the limitations of this suitability image, which have been introduced through data resolution, data combination techniques, and subjectively made decisions, must be considered by data users.

Conference Paper