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  • EARTH RESOURCES AND REMOTE SENSING  (8)
  • ASTRONOMY  (2)
  • SOLID-STATE PHYSICS
  • 1975-1979  (10)
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  • 1
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    Using Landsat digital data to detect moisture stress (1979)
    In:  Other Sources
    Details
    Publication Date: 2011-08-17
    Description: A technique utilizing transformed Landsat digital data for detection of agricultural drought was empirically defined during the 1976 South Dakota drought. During 1977, the procedure was expanded to the Great Plains for evaluation as a technique for detecting and monitoring vegetative water stress over large areas. The technique, Green Index Number (GIN), uses Landsat digital data from 5 by 6 nautical mile sampling frames (segments) to indicate when the vegetation within the segment is undergoing drought. At known growth stages for wheat, segments were classified as drought or non-drought areas. The remote-sensing-based information was compared to a weekly ground-based index (Crop Moisture Index) provided by the United States Department of Commerce. This comparison demonstrated a high degree of agreement between the 18-day remote sensing technique and the ground-based weekly data. Maps based on GIN of parts of the USSR and Australia were produced with a two-week lag and later compared with other crop assessments of crop conditions in these areas. These maps were judged to be in general agreement with the other data sources.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Photogrammetric Engineering and Remote Sensing; 45; Feb. 197
    Format: text
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  • 2
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    Application of LANDSAT digital data for monitoring drought (1979)
    In:  Other Sources
    Details
    Publication Date: 2016-03-08
    Description: A technique utilizing transformed LANDSAT digital data for detection of agricultural vegetative water stress was developed during the 1976 South Dakota drought, and expanded to the U.S. Great Plains the following year to evaluate its effectiveness in detecting and monitoring vegetative stress water stress over large areas. This technique, the green index number (GIN), indicated when the vegetation within a segment was undergoing stress. Segments were classified as either moisture-stressed or normal using remote sensing techniques combined with a knowledge of crop condition. The remote sensing-based information was compared to a weekly ground-based index (the crop moisture index) provided by the U.S. Dept. of Commerce. The approaches used and the results from the GIN monitoring program are presented.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Proc. of Tech. Sessions, Vol. 1 and 2; p 431-438
    Format: text
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  • 3
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    The LACIE crop years: An assessment of the crop conditions experienced in the three years of LACIE (1979)
    In:  Other Sources
    Details
    Publication Date: 2016-03-08
    Description: Meteorological data and LANDSAT spectral data from growing regions in the U.S. Great Plains, the U.S.S.R., and Canada were used to assess growing conditions and to document where anomalies such as drought, floods, and freezes were impacting the crop yield and appearance of spring and winter wheat. In the United States, the weekly rainfall and temperature data were used to estimate soil moisture, which was then related to crop needs by a crop moisture index. The transformation of LANDSAT digital data into a green index number provided a procedure whereby data from a LACIE segment could be classified as drought affected or not. The growing seasons encountered in each LACIE country during the three phases are described.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Proc. of Tech. Sessions, Vol. 1 and 2; p 411-429
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  • 4
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    The use of LANDSAT digital data to detect and monitor vegetation water deficiencies (1977)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: A technique devised using a vector transformation of LANDSAT digital data to indicate when vegetation is undergoing moisture stress is described. A relation established between the remote sensing-based criterion (the Green Index Number) and a ground-based criterion (Crop Moisture Index) is discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ERIM Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2; p 925-931
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  • 5
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    Large Area Crop Inventory Experiment (LACIE). Detecting and monitoring agricultural vegetative water stress over large areas using LANDSAT digital data (1978)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The author has identified the following significant results. The Green Number Index technique which uses LANDSAT digital data from 5X6 nautical mile sampling frames was expanded to evaluate its usefulness in detecting and monitoring vegetative water stress over the Great Plains. At known growth stages for wheat, segments were classified as drought or non drought. Good agreement was found between the 18 day remotely sensed data and a weekly ground-based crop moisture index. Operational monitoring of the 1977 U.S.S.R. and Australian wheat crops indicated drought conditions. Drought isoline maps produced by the Green Number Index technique were in good agreement with conventional sources.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E79-10063 , NASA-TM-79928 , LACIE-00506 , JSC-13737
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  • 6
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    UBV photometry of asteroid 433 Eros (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: UBV observations of asteroid 433 Eros were conducted on 17 nights during the winter of 1974/75. The peak-to-peak amplitude of the light curve varied from about 0.3 mag to nearly 1.4 mag. The absolute V magnitude, extrapolated to zero phase, is 10.85. Phase coefficients of 0.0245 mag/degree, 0.0009 mag/degree, and 0.0004 mag/degree were derived for V, B-V, and U-B, respectively. The zero-phase color of Eros (B-V = 0.88, U-B = 0.50) is representative of an S (silicaceous) compositional type asteroid. The color does not vary with rotation. The photometric behavior of Eros can be modeled by a cylinder with rounded ends having an axial ratio of about 2.3:1.
    Keywords: ASTRONOMY
    Type: NASA-CR-143316
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  • 7
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    SAS-2 High energy gamma-ray observations of the Vela pulsar (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The second Small Astronomy Satellite high-energy (35 MeV) gamma-ray telescope detected pulsed gamma-ray emission at the radio period from PSR 0833-45, the Vela pulsar, as well as an unpulsed flux from the Vela region. The pulsed emission consists of two peaks, one following the radio peak by about 13 msec, and the other 0.4 period after the first. The luminosity of the pulsed emission above 100 MeV from Vela is about 0.1 that of the pulsar NP0532 in the Crab nebula, whereas the pulsed emission from Vela at optical wavelengths is less than 0.0004 that from the Crab. The relatively high intensity of the pulsed gamma-ray emission and the double peak structure, compared to the single pulse in the radio emission, suggests that the high energy gamma-ray pulsar emission may be produced under different conditions from those found at lower energies.
    Keywords: ASTRONOMY
    Type: NASA-TM-X-70877 , X-662-75-102
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  • 8
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    Large Area Crop Inventory Experiment (LACIE). Results of LACIE integrated drought analysis (Southern U.S. Great Plains drought 1975-76) (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: The development and intensification of the drought in the United States southern Great Plains was monitored during the initial growing period of the 1975-76 winter wheat crop. Because of the severity of the drought conditions, a drought analysis plan was developed and implemented beginning on March 8, 1976. Sample segments and full-frame imagery were used at 9-day intervals to identify the drought area and quantify the effects on the wheat acreage. Yield model simulations were run to extrapolate the effects of the drought on yield estimates at harvest, assuming 10 and 90 percent of normal rainfall for subsequent months and 30-day forecast. A survey of LANDSAT data for improvement of distribution of rainfall patterns in the drought area was done for April and yield models run for drought affected crop reporting districts. Special aggregations were performed by the Crop Assessment Subsystem on the drought area to evaluate the utility of remote sensing to monitor the effect of the drought on wheat area, yield, and production.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-TM-X-74640 , LACIE-00424 , JSC-11336
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  • 9
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    The use of Landsat digital data to detect and monitor vegetation water deficiencies (1977)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: In the Large Area Crop Inventory Experiment a technique was devised using a vector transformation of Landsat digital data to indicate when vegetation is undergoing moisture stress. A relation was established between the remote-sensing-based criterion (the Green Index Number) and a ground-based criterion (Crop Moisture Index).
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Symposium on Remote Sensing of Environment; Apr 25, 1977 - Apr 29, 1977; Ann Arbor, MI
    Format: text
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  • 10
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    Results of Large Area Crop Inventory Experiment (LACIE) drought analysis (South Dakota drought 1976) (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: LACIE using techniques developed from the southern Great Plains drought analysis indicated the potential for drought damage in South Dakota. This potential was monitored and as it became apparent that a drought was developing, LACIE implemented some of the procedures used in the southern Great Plains drought. The technical approach used in South Dakota involved the normal use of LACIE sample segments (5 x 6 nm) every 18 days. Full frame color transparencies (100 x 100 nm) were used on 9 day intervals to identify the drought area and to track overtime. The green index number (GIN) developed using the Kauth transformation was computed for all South Dakota segments and selected North Dakota segments. A scheme for classifying segments as drought affected or not affected was devised and tested on all available 1976 South Dakota data. Yield model simulations were run for all CRD's Crop Reporting District) in South Dakota.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-TM-74760 , LACIE-00437 , JSC-11666
    Format: application/pdf
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