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  • 1
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    Crop identification and area estimation by computer-aided analysis of Landsat data (1977)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: This report describes the results of a study involving the use of computer-aided analysis techniques applied to Landsat MSS data for identification and area estimation of winter wheat in Kansas and corn and soybeans in Indiana. Key elements of the approach included use of aerial photography for classifier training, stratification of Landsat data and extension of training statistics to areas without training data, and classification of a systematic sample of pixels from each county. Major results and conclusions are: (1) Landsat data was adequate for accurate identification and area estimation of winter wheat in Kansas, but corn and soybean estimates for Indiana were less accurate; (2) computer-aided analysis techniques can be effectively used to extract crop identification information from Landsat MSS data, and (3) systematic sampling of entire counties made possible by computer classification methods resulted in very precise area estimates at county as well as district and state levels.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Annual Symposium on Machine Processing of Remotely Sensed Data; Jun 21, 1977 - Jun 23, 1977; West Lafayette, IN
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  • 2
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    Computer mapping of Landsat data for environmental applications (1975)
    In:  Other Sources
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    Publication Date: 2011-08-18
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Army Eng. Topographic Labs. Workshop for Environmental Applications of Multispectral Imagery; p 118-134
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  • 3
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    Operational utilization of remotely sensed data (1977)
    In:  Other Sources
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    Publication Date: 2011-08-17
    Description: The use of data from environmental satellites and other remote sensing platforms in some of NOAA's operational services are described. Topics discussed include: hurricanes; severe local storms and tornadoes; forest guidance; weather forecasting; hydrology; space program support; oceanography; search and rescue; and wildlife management. Applications which have become routine, and those which are in advanced field test are included. Some applications yield a clear cut economic benefit. In other cases, benefits -- if any -- are obscure. In yet other cases, benefits in one sector may be offset by detriments in another. Illustrative examples are given.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ERIM Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 1; p 221-228
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  • 4
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    Role of remote sensing in documenting living resources (1978)
    In:  Other Sources
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    Publication Date: 2011-08-17
    Description: Specific cases of known or potentially useful applications of remote sensing in assessing biological resources are discussed. It is concluded that the more usable remote sensing techniques relate to the measurement of population fluctuations in aquatic systems. Sensing of the flora and the fauna of the Bay is considered with emphasis on direct sensing of aquatic plant populations and of water quality. Recommendations for remote sensing projects are given.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Appl. of Remote Sensing to the Chesapeake Bay Reg.; p 297-301
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  • 5
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    Production of a water quality map of Saginaw Bay by computer processing of LANDSAT-2 data (1977)
    In:  CASI
    Details
    Publication Date: 2016-06-07
    Description: Surface truth and LANDSAT measurements collected July 31, 1975, for Saginaw Bay were used to demonstrate a technique for producing a color coded water quality map. On this map, color was used as a code to quantify five discrete ranges in the following water quality parameters: (1) temperature, (2) Secchi depth, (3) chloride, (4) conductivity, (5) total Kjeldahl nitrogen, (6) total phosphorous, (7)chlorophyll a, (8) total solids and (9) suspended solids. The LANDSAT and water quality relationship was established through the use of a set of linear regression equations where the water quality parameters are the dependent variables and LANDSAT measurements are the independent variables. Although the procedure is scene and surface truth dependent, it provides both a basis for extrapolating water quality parameters from point samples to unsampled areas and a synoptic view of water mass boundaries over the 3000 sq. km bay area made from one day's ship data that is superior, in many ways, to the traditional machine contoured maps made from three day's ship data.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ERIM Proc. of the 11th Intern. Symp. on Remote Sensing of Environment, Vol. 2; p 1045-1054
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  • 6
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    Application of the luciferin-luciferase enzyme system for determination of adenosine triphosphate (ATP) to studies on the mechanisms of herbicide action (1975)
    In:  CASI
    Details
    Publication Date: 2016-06-07
    Description: The luciferin-luciferase enzyme system for determination of ATP is valuable for studies on the mechanisms of herbicide action. Investigations using this system have shown that certain herbicides may act by interfering with ATP production or by blocking ATP use, or by both mechanisms.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA. Goddard Space Flight Center Anal. Appl. of Bioluminescence and Chemiluminescence; p 45-48
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  • 7
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    Large Area Crop Inventory Experiment (LACIE). Bibliographic addenda, technical reports, papers, and memorandums published under supporting research and technology and other research, test, and evaluation contracts for the Earth observations division (1978)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: There are no author-identified significant results in this report.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E80-10070 , NASA-CR-160423 , JSC-14278 , LEC-11651
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  • 8
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    Identification and area estimation of agricultural crops by computer classification of Landsat MSS data (1979)
    In:  Other Sources
    Details
    Publication Date: 2019-06-27
    Description: Landsat Multispectral Scanner (MSS) data covering a three-county area in northern Illinois were classified using computer-aided techniques as corn, soybeans, or 'other.' Recognition of test fields was 80% accurate. County estimates of the area of corn and soybeans agreed closely with those made by the USDA. Results of the use of a priori information in classification, techniques to produce unbiased area estimates, and the use of temporal and spatial features for classification are discussed. The extendability, variability, and size of training sets, wavelength band selection, and spectral characteristics of crops were also investigated.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Remote Sensing of Environment; 8; Feb. 197
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  • 9
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    The Igwisi Hills extrusive 'kimberlites' (1975)
    In:  Other Sources
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    Publication Date: 2019-06-27
    Description: The petrography and mineral chemistry of volcanic rocks from the Igwisi Hills in Tanzania are discussed. There is considerable evidence to suggest that the Igwisi rocks are extrusive kimberlites: a two-component nature with high P-T minerals in a low P-T matrix; the presence of chrome pyrope, Al enstatite, chrome diopside, chromite and olivine; a highly oxidized, volatile-rich matrix with serpentine, calcite, magnetite, perovskite; high Sr, Zr, and Nb contents; occurrence in a narrow isolated vent within a stable shield area. The Igwisi rocks differ from kimberlite in the lack of magnesian ilmenite, the scarcity of matrix phlogopite, and the overall low alkali content. They apparently contain material from phlogopite-bearing garnet peridotites with a primary mineral assemblage indicative of equilibrium at upper mantle temperatures and pressures. This primary assemblage was brought rapidly to the surface in a gas-charged, carbonate-rich fluid. Rapid upward transport, extrusion, and rapid cooling have tended to prevent reaction between inclusions and the carbonate-rich matrix that might otherwise have yielded a more typical kimberlite.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 10
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    Remote sensing of vegetation and soil using microwave ellipsometry (1977)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: A method is described of determining vegetation height and water content of vegetation from the intensity and state of elliptical polarization of a reflected train of microwaves. The method comprises the steps of reflecting a circularly polarized train of microwaves from vegetation at a predetermined angle of incidence and detecting the reflected train of microwaves. The ratio of the intensities of the electric field vector components is determined, the phase difference of the components is measured, and the refractive index and thickness of the layer of vegetation are computed from a formula. The refractive index is given essentially by the water content of the vegetation.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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