Sampling strategies in land use mapping using Skylab data
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Engineering topics
Publications and source records attributed to Simonett, D. S..
There are no author-identified significant results in this report.
There are no author-identified significant results in this report.
There are no author-identified significant results in this report.
Radar imagery for crop discrimination, discussing sensor and data requirements and statistical analysis methods
It has been widely suggested that space photography may be used for updating maps of transportation networks. Proponents of the argument have suggested that color space photographs of the resolution obtained with Hasselblad 80 mm lenses (about 300 feet) contain enough useful information to update the extensions of major U. S. highways. The present study systematically documents for the Dallas-Fort Worth area the potential of such space photography in detecting, and to a lesser degree identifying, the existing road networks. Color separation plates and an enlargement of the color photograph were produced and all visible roads traced onto transparencies for study. Major roads and roads under construction were the most visible while lower class roads and roads in urban areas had the poorest return. Road width and classification were found to be the major determinant in visibility, varying from 100 per cent visible for divided highways to 15 per cent visible of bladed earth roads. In summary, space photographs of this resolution proved to be difficult to use for accurate road delineation. Only super highways in rural areas with the greatest road-width were completely identifiable, the width being about 1/3 that of the resolution cell.
Boundary delineation from space photographs as a precursor to area typing was studied for characterization of land use for resource mapping near Alice Springs, Australia, where both boundary detection and categorization are complicated by the variations of the landscape. The detection and meaning of boundaries, and sources of confusion during categorization are discussed.
Color combined multiple polarization radar image application to geoscience problems
Multipolarized radar imagery for detecting high return linear cultural features in geographic areas including channel markers, bridges, railroad and powerline networks, etc
Satellite and aerial thematic land use mapping
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Application of orbiting radar systems to earth resource studies
Radar remote sensors as tools in reconnaissance geomorphic, vegetation and soil mapping
Aircraft and satellite-borne radar and photography sensing techniques for use in thematic land mapping
Aerial photography and radar imagery for terrain mapping
Earth science and resource studies with orbiting imaging radars onboard space vehicles
Vegetation mapping from K-band radar imagery using image discrimination, enhancement, combination and sampling system
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