Browsing by Author "Schmidt, Bradley J. (Bradley John)"
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- ItemOpen AccessGuidelines for the evaluation and selection of aerial and satellite imagery for land planning and management along the eastern slopes in Alberta(1986) Schmidt, Bradley J. (Bradley John); Momsen, Richard P., Jr.The effective management of the land within the Eastern Slopes Region in Alberta requires a fast and economical methord of collecting pertinent biophysical (ecological) information. Remotely sensed imagery is evaluated in this study for its relative usefulness in collecting this information. Imagery selected for evaluation included panchromatic, black and white infared, normal colour, and colour infared photography; as well as synthetic aperature radar (SAR) and multispectral imagery in both analogue and digital form. The selected imagery was evaluated within the framework of an integrated, multi-stage, biophysically based, remote sensing legend system. This legend system provides tor the classification of regional zones, landforms, surtace cover, slope, soils, and internal drainage. evaluation procedure involved both a qualitative and a quantitative analysis. This methodolgy was utilized to create a series of guidelines for selecting imagery to be used with each ot the specified legend components. The study demonstrates that an effective methodology can be employed for the evaluation and selection of aerial and satellite imagery for land planning and management along Alberta's Eastern Slopes. The results of the investigation also indicate that a high degree of reliability can be maintained for obtaining the specified biophysical information, by employing the study approach. More specifically, the results clearly demonstrate that there are significant differences in the value of the various images examined for gathering information on the individual legend components. By employing the derived methodology and the accompanying image selection guidelines, land planners and managers should be able to choose the most optimal imagery for their biophysical data gathering needs. This in turn will result in a more effective and efficient use of remotely sensed imagery in the land planning and management process.