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  • 1
    Publication Date: 2019-08-27
    Description: Unambiguous detection of oil slicks by remote sensing techniques has proven an elusive goal. This article presents new thermal infrared spectra of oil slicks made from five different crude oil samples with a wide range of API gravities and compositions. After a brief outgassing phase, all oil slick spectra are quite similar and little affected by thickness, extended exposure to air or sunlight, and even by emulsification with seawater (mousse formation). Thus, oil slicks provide a remarkably unvarying spectral signature as remote sensing targets in the thermal infrared compared to other regions of the spectrum. This spectral signature in the 8-14 micron atmospheric window is flat, with an average reflectance of 4 percent. Seawater, on the other hand, has a spectrum that varies in reflectance with wavelength in the 8-14 micron window from 0.90 to 3.65 percent. In addition, we show that sea foam displays a reflectance spectrum quite similar to that of seawater in the 8-14 micron region. This results in a relatively uniform spectral background, against which oil slicks can be detected, based on their different spectral signature.
    Keywords: ENVIRONMENT POLLUTION
    Type: Remote Sensing of Environment (ISSN 0034-4257); 45; 2; p. 225-231.
    Format: text
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  • 2
    Publication Date: 2019-07-13
    Description: Programs using remote sensing to obtain geologic information in Africa are reviewed. Studies include the use of Landsat MSS data to evaluate petroleum resources in sedimentary rock terrains in Kenya and Sudan and the use of Landsat TM 30-m resolution data to search for mineral deposits in an ophiolite complex in Oman. Digitally enhanced multispectral SPOT data at a scale of 1:62,000 were used to map folds, faults, diapirs, bedding attitudes, and stratigraphic units in the Atlas Mountains in northern Algeria. In another study, SIR-A data over a vegetated and faulted area of Sierra Leone were compared with data collected by the Landsat MSS and TM systems. It was found that the lineaments on the SIR-A data were more easily detected.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Symposium on Remote Sensing of Environment; Dec 04, 1986 - Dec 10, 1986; Nairobi; Kenya
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