Measurement of radio frequency noise in urban, suburban, and rural areas Final report
Measurements of urban, suburban, and rural radio frequency noise interfering with aircraft communication
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Measurements of urban, suburban, and rural radio frequency noise interfering with aircraft communication
Aerial remote imagery for urban planning
Detecting changes in thermal patterns induced by urban development in water bodies and adjoining land areas using infrared imagery
Color infrared aerial photography for acquiring and classifying data on urban housing quality
Results and analysis of combined aerial and ground ultrahigh frequency noise survey in urban area
NASA technology transfer in urban development applications
The degradation produced by the introduction of agricultural and urban wastes into estuarine systems, with emphasis on the Chesapeake Bay area, is discussed. The subjects presented are: (1) effects of sediment loading and (2) organic and nutrient loading problems. The impact of high turbidity on the biological life of the bay is analyzed. The sources of nutrients which produce over-enrichment of the waters and the subsequent production of phytoplankton are examined.
The benefits of utilizing remote sensor data in the urban planning process of the Metropolitan Washington Council of Governments are investigated. An evaluation of sensor requirements, a description/ comparison of costs, benefits, levels of accuracy, ease of attainment, and frequency of update possible using sensor versus traditional data acquisition techniques are discussed.
There are no author-identified significant results in this report. First look evaluation of ERTS-1 multiband imagery for urban-field land use applications revealed a great deal of potentially valuable information. The amount of land use detail which can be extracted confidently from ERTS imagery is encouraging, and the objectives of the proposed project are considered feasible providing timely cloud-free coverage is available.
The application of remote sensing techniques useful in acquiring data concerning housing quality is discussed. Conclusions reached from the investigation were: (1) Use of individuals with a higher degree of training in photointerpretation should significantly increase the percentage of successful classifications. (2) Small area classification of urban housing quality can definitely be accomplished via high resolution aerial photography. Such surveys, at the levels of accuracy demonstrated, can be of major utility in quick look surveys. (3) Survey costs should be significantly reduced.
Analysis of urban area and surrounding locale in central Pennsylvania using ERTS-1 data supported by U-2 photography
Assessment of data utility for urban development and regional planning from first-look analyses of five cycles of ERTS-1 imagery over Los Angeles County, California
Preparation of urban land use inventories by machine processing of ERTS-1 MSS data of Milwaukee County, Wisconsin and Marion County, Indiana and Chicago, Illinois
The study is reported to develop computer produced urban land use maps using multispectral scanner data from a satellite is reported. Data processing is discussed along with the results of the San Francisco Bay area, which was chosen as the test area.
An urban area in central Pennsylvania and the surrounding locality were investigated separately at first by photointerpretation of ERTS-1 imagery and by computer processing of MSS tapes. Next the photointerpretation and processing were coordinated. The results of the cooperative effort of photointerpreters and computer processing analysts were much improved over independent efforts. It was found that single frames of U-2 photography could be projected onto printer output maps with little recognizable distortion in areas 10 to 25 cm square. In this way targets could be identified for use as training areas for computer processed signature identification. In addition, at any stage of category mapping, the level of success in correct classification could be assessed by this method. The results of the classification of the study area are discussed.
The application is reported of NASA management philosophy and techniques within New Castle County, Delaware, to meet actual problems of community violence. It resulted in restructuring the county approach to problems of this nature, and development of a comprehensive system for planning, based on the NASA planning process. The method involved federal, state, and local resources with community representatives in solving the problems. The concept of a turbulent environment is presented with parallels drawn between NASA management experience and problems of management within an urban arena.
The usefulness of remote sensing in urban planning and development relative to social and economic factors as well as physical factors is examined. Particular attention was given to environmental quality assessment and land use problems.
The author has identified the following significant results. Areas of post 1970 and 1972 land use changes were identified solely from the Skylab imagery from comparisons with 1970 land use maps. Most land use changes identified involved transition from agriculture to single family residential land use. The second most prominent changes identified from the Skylab imagery were areas presently under construction. Post 1970 changes from Skylab were compared with the 1972 changes noted from the high altitude photographs. A good correlation existed between the change polygons mapped from Skylab and those mapped from the 1972 high altitude aerial photos. In addition, there were a number of instances where additional built-up land use not noted in the 1972 aerial photo as being developed were identified on the Skylab imagery. While these cases have not been documented by field observation, by correlating these areas with the appearance of similar land use areas whose identity has been determined, we can safely say that we have been able to map further occurrences of land use change beyond existing high altitude photo coverage from the Skylab imagery. It was concluded that Skylab data can be used to detect areas of land use change within an urban setting.