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  • 1980-1984  (20)
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  • 1
    Publication Date: 2011-08-19
    Description: The objectives and anticipated results of a study to define the strengths and limitations of microwave (SIR-B) and optical (thematic Mapper) data, singly and in combination, for the purpose of characterizing forest cover types and condition classes are described. Other specific objectives include: (1) the assessment of the effectiveness of a contextual classification algorithm (SECHO); (2) evaluation of the utility of different look angles of SAR data in determining differences in stand density of commercial forests; and (3) the determination of the effectiveness of the L-band HH polarized SIR-B data in differentiating forest-stand densities.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: JPL The SIR-B Sci. Invest. Plan; 3 p
    Format: text
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  • 2
    Publication Date: 2019-01-25
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Ann. Res. Sum., 1 Jul. 1982 - 30 Jun. 1983; p 26-27
    Format: text
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  • 3
    Publication Date: 2019-06-28
    Description: Understanding of the relationships between the optical, spectral characteristics and important biological-physical parameters of earth-surface features can best be obtained by carefully controlled studies over fields and plots where complete data describing the condition of targets are attainable and where frequent, timely spectral measurement can be obtained. Development of a vegetation and soils field research data base was initiated in 1972 at Purdue University's Laboratory for Applications of Remote Sensing and expanded in the fall of 1974 by NASA as part of LACIE. Since then, over 250,000 truck-mounted and helicopter-borne spectrometer/multiband radiometer observations have been obtained of more than 50 soil series and 20 species of crops, grasses, and trees. These data are supplemented by an extensive set of biophysical and meteorological data acquired during each mission. The field research data form one of the most complete and best-documented data sets acquired for agricultural remote sensing research. Thus, they are well-suited to serve as a data base for research to: (1) quantiatively determine the relationships of spectral and biophysical characteristics of vegetation, (2) define future sensor systems, and (3) develop advanced data analysis techniques.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E86-10010 , NASA-CR-171894 , NAS 1.26:171894 , LARS-TR-042382
    Format: application/pdf
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  • 4
    Publication Date: 2019-06-28
    Description: If leaf senescence can be delayed for several days without significant changes in spectral properties, then samples of leaves at remote test sites could be prepared and shipped to laboratories to measure spectral properties. The changes in spectral properties of detached leaves were determined. Leaves from red birch and red pine were immersed in water or 0.001 M benzylaminopurine (BAP) and stored in plastic bags in the dark at either 5 or 25 C. Total directional-hemispherical reflectance and transmittance of the adaxial surface of birch leaves were measured over the 400 to 1100 nm wavelength region with a spectroradiometer and integrating sphere. Pine needles were taped together and reflectance of the mat of needles was measured. Spectral properties changed less than 5% of initial values during the first week when leaves were stored at 5 C. Storage at 25 C promoted rapid senescence and large changes in spectral properties. BAP delayed, but did not stop, senescence at 25 C.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E85-10042 , NASA-CR-171818 , NAS 1.26:171818 , LARS-TR-061584
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  • 5
    Publication Date: 2019-06-28
    Description: Spectral responses of two glaciated soils, Chalmers silty clay loam and Fincastle silt loam, formed under prairie grass and forest vegetation, respectively, were measured in the laboratory under controlled moisture equilibria using an Exotech Model 20C spectroradiometer to obtain spectral data in the laboratory under artificial illumination. The same spectroradiometer was used outdoors under solar illumination to obtain spectral response from dry and moistened field plots with and without corn residue cover, representing the two different soils. Results indicate that laboratory-measured spectra of moist soil are directly proportional to the spectral response of that same field-measured moist bare soil over the 0.52 micrometer to 1.75 micrometer wavelength range. The magnitudes of difference in spectral response between identically treated Chalmers and Fincastle soils are greatest in the 0.6 micrometers to 0.8 micrometer transition region between the visible and near infrared, regardless of field condition or laboratory preparation studied.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E83-10021 , NASA-CR-167722 , SR-P2-04326 , LARS-052680 , NAS 1.26:167722
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  • 6
    Publication Date: 2019-06-28
    Description: The results of an experiment designed to characterize a soybean field by its reflectance at various view and illumination angles and by its physical and agronomic attributes are presented. Reflectances were calculated from measurements at four wavelength bands through eight view azimuth and seven view zenith directions for various solar zenith and azimuth angles during portions of three days. An ancillary data set consisting of the agronomic and physical characteristics of the soybean field is described. The results indicate that the distribution of reflectance from a soybean field is a function of the solar illumination and viewing geometry, wavelength and row direction, as well as the state of development of the canopy. Shadows between rows greatly affected the reflectance in the visible wavelength bands and to a lesser extent in the near infrared wavelengths. A model is proposed that describes the reflectance variation as a function of projected solar and projected viewing angles. The model appears to approximate the reflectance variations in the visible wavelength bands from a canopy with well defined row structure.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10394 , NASA-CR-167644 , SR-P2-04278 , NAS 1.26:167644 , LARS-042182
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  • 7
    Publication Date: 2019-06-28
    Description: The data base software system, LARSPEC, is discussed and the data base format for agronomic, meteorological, spectroradiometer, and multiband radiometer data is described. In addition, the contents and formats of each record of data and the wavelength tables are listed and the codes used for some of the parameters are described.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10381 , NASA-CR-167647 , SR-P2-04277 , NAS 1.26:167647 , LARS-050182
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  • 8
    Publication Date: 2019-06-28
    Description: Numerous mathematical models of the interaction of radiation with vegetation canopies have been developed over the last two decades. However, data with which to exercise and validate these models are scarce. During three days in the summer of 1980, experiments are conducted with the objective of gaining insight about the effects of solar illumination and view angles on soybean canopy reflectance. In concert with these experiment, extensive measurements of the soybean canopies are obtained. This document is a compilation of the bidirectional reflectance factors, agronomic, characteristics, canopy geometry, and leaf, stem, and pod optical properties of the soybean canopies. These data sets should be suitable for use with most vegetation canopy reflectance models.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E86-10005 , NASA-CR-171895 , NAS 1.26:171895 , LARS-TR-071584
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  • 9
    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
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  • 10
    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
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