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  • 2015-2019
  • 1980-1984  (19)
  • 1970-1974
  • 1955-1959
  • 1981  (19)
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  • 2015-2019
  • 1980-1984  (19)
  • 1970-1974
  • 1955-1959
Year
  • 1
    Monograph available for loan
    Monograph available for loan
    Schwerin : Amt für Meteor.
    Call number: MOP 45244 / Mitte
    Type of Medium: Monograph available for loan
    Pages: 66 S.
    Location: MOP - must be ordered
    Branch Library: GFZ Library
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  • 2
    Publication Date: 2019-06-28
    Description: Three concepts were considered for the boom design: a one-piece boom with a trolley, a folding boom, and a telescoping boom. The telescoping boom was selected over the other two concepts because of its easy manual operation. The boom is designed to mount on the bed of a pick-up truck and elevate the radiometer system 8 meters above the ground and 4 meters away from the truck. The selection of the boom components is discussed with justification of the final choice. Results of performance tests and one season's operation of the completed boom are reported.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E81-10150 , NASA-CR-160988 , SR-P1-04079 , LARS-TR-040981
    Format: application/pdf
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  • 3
    Publication Date: 2019-06-28
    Description: Spectral and agronomic measurements were collected from corn (Zea mays L.) canopies under four nitrogen treatment levels (0, 67, 134, and 202 kg/ha) on 11 dates during 1978 and 12 dates during 1979. Data were analyzed to determine the relationship between the spectral responses of canopies and their argonomic characteristics as well as the spectral separability of the four treatments. Red reflectance was increased, while the near infrared reflectance was decreased for canopies under nitrogen deprivation. Spectral differences between treatments were seen throughout each growing season. The near infrared/red reflectance ratio increased spectral treatment differences over those shown by single band reflectance measures. Of the spectral variables examined, the near infrared/red reflectance ratio most effectively separated the treatments. Differences in spectral response between treatments were attributed to varying soil cover, leaf area index, and leaf pigmentation values, all of which changed with N treatment.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10068 , NASA-CR-165090 , NAS 1.26:165090 , SR-P1-04044 , LARS-030381
    Format: application/pdf
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  • 4
    Publication Date: 2019-06-28
    Description: The reflectance response with view angle of wheat, was analyzed. The analyses, which assumes there are no atmospheric effects, and otherwise simulates the response of a multispectral scanner, is based upon spectra taken continuously in wavelength from 0.45 to 2.4 micrometers at more than 1200 view/illumination directions using an Exotech model 20C spectra radiometer. Data were acquired six meters above four wheat canopies, each at a different growth stage. The analysis shows that the canopy reflective response is a pronounced function of illumination angle, scanner view angle and wavelength. The variation is greater at low solar elevations compared to high solar elevations.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10144 , NASA-CR-167505 , NAS 1.26:167505 , SR-P1-04202 , LARS-071580
    Format: application/pdf
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  • 5
    Publication Date: 2019-06-28
    Description: An investigation was conducted to evaluate the effect of several sampling alternatives on the accuracy of crop area estimates made from classification of Landsat Multispectral Scanner (MSS) data. The specific objective was to assess the precision and the bias associated with alternative sampling schemes involving different numbers of several sampling unit sizes. The estimates achieved using the 5 by 6 nm segments were found to have the least precision of any sampling scheme tested. The estimates become more precise as the segment size decreases and more segments are taken. The precision of the 5 by 6 nm segments was significantly less than that of the pixel samples. None of the sampling schemes was significantly biased on the average, and none of the average estimates differed significantly from the population parameter. The maximum absolute deviation, however, was directly related to sampling unit size and should be considered in selection of a sampling unit.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Photogrammetric Engineering and Remote Sensing; 47; Sept
    Format: text
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  • 6
    Publication Date: 2019-06-28
    Description: The interaction of the solar illumination angle and row azimuth angle of the measured reflectance factor (RF) of soybean canopies was investigated. Diurnal changes of nearly 140% were observed in the red wavelength region when canopies covered 64% of the soil. The amount of shadow observed was a function of the plant geometry and row width. As soil cover approached 100%, the diurnal changes diminished. A function tht describes the solar illumination angle with respect to the row azimuth explained most of the diurnal variation in the measured RF. Variation in near infrared response was much less and did not appear to be as strongly related to Sun-row angle interactions. The near infrared/red ratio was highly sensitive to Sun angle-row direction interactions, whereas the greenness function, utilizing all four spectral bands, was not.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10237 , NASA-CR-167402 , SR-P1-04039 , NAS 1.26:167402 , LRS-021681
    Format: application/pdf
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  • 7
    Publication Date: 2019-06-28
    Description: The linear polarization and reflection of visible light by wheat as a function of sun-view directions, crop development stage, and wavelength were examined. Two-hundred spectra were taken continuously in wave-lengths from 0.45 to 0.72 Micron in 33 view directions using an Exotech model 20C spectroradiometer six meters above two wheat canopies in the boot and fully headed maturity stages. The analysis results show that the amount of linearly polarized light from the wheat canopies is greatest in the blue spectral region and decreases gradually with increasing wavelength. The results also show that the linearly polarized light from the canopies is generally greatest in the azimuth direction of the Sun and tends toward zero as the view direction tends toward the direction of the hot spot or anti-solar point. It is demonstrated that the single, angle of incidence of sunlight on the leaf, explains almost all of the variation of the amount of polarized light with Sun-view direction.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10229 , NASA-CR-167419 , NAS 1.26:167419 , LARS-TR-090981 , SR-P1-04139
    Format: application/pdf
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  • 8
    Publication Date: 2019-06-28
    Description: The feasibility of using the principles of computer axial topography (CAT) to quantify the structure of crop canopies was investigated because six variables are needed to describe the position-orientation with time of a small piece of canopy foliage. Several cross sections were cut through the foliage of healthy, green corn and soybean canopies in the dent and full pod development stages, respectively. A photograph of each cross section representing the intersection of a plane with the foliage was enlarged and the air-foliage boundaries delineated by the plane were digitized. A computer program was written and used to reconstruct the cross section of the canopy. The approach used in applying optical computer axial tomography to measuring crop canopy geometry shows promise of being able to provide needed geometric information for input data to canopy reflectance models. The difficulty of using the CAT scanner to measure large canopies of crops like corn is discussed and a solution is proposed involving the measurement of plants one at a time.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10227 , NASA-CR-167397 , NAS 1.26:167397 , LARS-TR-060881 , SR-P1-04141
    Format: application/pdf
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  • 9
    Publication Date: 2019-06-28
    Description: An algorithm is proposed which predicts the optimal features at every node in a binary tree procedure. The algorithm estimates the probability of error by approximating the area under the likelihood ratio function for two classes and taking into account the number of training samples used in estimating each of these two classes. Some results on feature selection techniques, particularly in the presence of a very limited set of training samples, are presented. Results comparing probabilities of error predicted by the proposed algorithm as a function of dimensionality as compared to experimental observations are shown for aircraft and LANDSAT data. Results are obtained for both real and simulated data. Finally, two binary tree examples which use the algorithm are presented to illustrate the usefulness of the procedure.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10213 , NASA-CR-167508 , NAS 1.26:167508 , LARS-101481 , SR-P1-04194
    Format: application/pdf
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  • 10
    Publication Date: 2019-06-28
    Description: Compound decision theory is employed to develop a general statistical model for classifying image data using spatial context. The classification algorithm developed from this model exploits the tendency of certain ground-cover classes to occur more frequently in some spatial contexts than in others. A key input to this contextural classifier is a quantitative characterization of this tendency: the context function. Several methods for estimating the context function are explored, and two complementary methods are recommended. The contextural classifier is shown to produce substantial improvements in classification accuracy compared to the accuracy produced by a non-contextural uniform-priors maximum likelihood classifier when these methods of estimating the context function are used. An approximate algorithm, which cuts computational requirements by over one-half, is presented. The search for an optimal implementation is furthered by an exploration of the relative merits of using spectral classes or information classes for classification and/or context function estimation.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10106 , NASA-CR-167455 , NAS 1.26:167455 , SR-P1-04148 , LARS-072981
    Format: application/pdf
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