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  • EARTH RESOURCES AND REMOTE SENSING  (3)
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  • 1
    Publication Date: 2019-06-27
    Description: An energy budget approach to evaluating the SKYLAB X/5-detector S-192 data for prediction of soil moisture and evapotranspiration rate was pursued. A test site which included both irrigated and dryland agriculture in Southern Texas was selected for the SL-4 SKYLAB mission. Both vegetated and fallow fields were included. Data for a multistage analysis including ground, NC-130B aircraft, RB-57F aircraft, and SKYLAB altitudes were collected. The ground data included such measurements as gravimetric soil moisture, percent of the ground covered by green vegetation, soil texture, net radiation, soil temperature gradients, surface emittance, soil heat flux, air temperature and humidity gradients, and cultural practices. Ground data were used to characterize energy budgets and to evaluate the utility of an energy budget approach for determining soil moisture differences among twelve specific agricultural fields.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: W-21 , SDSU-RSI-J-75-03 , NASA. Lyndon B. Johnson Space Center NASA Earth Resources Surv. Symp., Vol. 1-D; p 2561-2583
    Format: text
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  • 2
    Publication Date: 2019-06-27
    Description: The author has identified the following significant results. Initial development of a computer program which implements a boundary detection algorithm to detect edges in digital images is described. An evaluation of the boundary detection algorithm was conducted to locate boundaries of lakes from LANDSAT-1 imagery. The accuracy of the boundary detection algorithm was determined by comparing the area within boundaries of lakes located using digitized LANDSAT imagery with the area of the same lakes planimetered from imagery collected from an aircraft platform.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10144 , NASA-CR-146153 , RSI-SDSU-74-10
    Format: application/pdf
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  • 3
    Publication Date: 2019-07-13
    Description: The author has identified the following significant results. Multispectral reflectance and emittance data from the Skylab workshop were evaluated for prediction of evapotranspiration and soil moisture for an irrigated region of southern Texas. Wavelengths greater than 2.1 microns were required to spectrally distinguish between wet and dry fallow surfaces. Thermal data provided a better estimate of soil moisture than did data from the reflective bands. Thermal data were dependent on soil moisture but not on the type of agricultural land use. The emittance map, when used in conjunction with existing models, did provide an estimate of evapotranspiration rates. Surveys of areas of high soil moisture can be accomplished with space altitude thermal data. Thermal data will provide a reliable input into irrigation scheduling.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E76-10413 , NASA-CR-147441 , SDSU-RSI-75-09
    Format: application/pdf
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