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USGS1970

Preliminary analysis of infrared imagery, Pahute Mesa area, Nevada Test Site, NASA site 52

Infrared images from two aircraft missions, flown by HRB-Singer Inc., August 10, 1966, and by NASA, Mission 30, September 3, 1966, have been analyzed. The HRB-Singer Inc., data, obtained in the 3-5 micrometer wavelength band between 10:32 and 11:53 p.m. (MST) in Spite of smoke in the atmosphere, revealed a fault that had not been mapped in the field and that was not visible on vertical black and white aerial photography. Twenty-four days later under clear weather conditions, the NASA aircraft obtained infrared imagery in the 8-14 micrometer band on a night overflight of the same area, but the fault mentioned above is not readily identified. Nighttime infrared observations assist stratigraphic and structural studies. Rhyolitic lava flows and welded tuff layers, having relatively high thermal inertia, are well outlined as bright (warm) areas on both sets of the nighttime imagery.

Nevada↗
USGS1969

A system of regional agricultural land use mapping tested against small scale Apollo 9 color infrared photography of the Imperial Valley (California)

Interpretation results of the small scale ClR photography of the Imperial Valley (California) taken on March 12, 1969 by the Apollo 9 earth orbiting satellite have shown that world wide agricultural land use mapping can be accomplished from satellite ClR imagery if sufficient a priori information is available for the region being mapped. Correlation of results with actual data is encouraging although the accuracy of identification of specific crops from the single image is poor. The poor results can be partly attributed to only one image taken during mid-season when the three major crops were reflecting approximately the same and their ClR image appears to indicate the same crop type. However, some incapacity can be attributed to lack of understanding of the subtle variations of visual and infrared color reflectance of vegetation and surrounding environment. Analysis of integrated color variations of the vegetation and background environment recorded on ClR imagery is discussed. Problems associated with the color variations may be overcome by development of a semi-automatic processing system which considers individual field units or cells. Design criteria for semi-automatic processing system are outlined.

California↗