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  • 1
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    Introduction to rolamite (1968)
    In:  CASI
    Details
    Publication Date: 2005-11-17
    Description: Properties and applications of low friction suspension system with roller clusters
    Keywords: MACHINE ELEMENTS AND PROCESSES
    Type: JPL PROC. OF THE 3RD AEROSPACE MECH. SYMP. 1 OCT. 1968; P 153-161
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  • 2
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    Mapping diverse forest cover with multipolarization airborne radar (1985)
    In:  CASI
    Details
    Publication Date: 2006-02-14
    Description: Imaging radar backscatter in continuously forested areas contains information about the forest canopy; it also contains data about topography, landforms, and terrain texture. For purposes of radar image interpretation and geologic mapping researchers were interested in identifying and separating forest canopy effects from geologic or geomorphic effects on radar images. The objectives of this investigation was to evaluate forest canopy variables in multipolarization radar images under conditions where geologic and topographic variables are at a minimum. A subsidiary objective was to compare the discriminatory capabilities of the radar images with corresponding optical images of similar spatial resolution. It appears that the multipolarization images discriminate variation in tree density, but no evidence was found for discrimination between evergreen and deciduous forest types.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA(JPL Aircraft SAR Workshop Proc.; p 53-54
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  • 3
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    Faults in the Mojave Desert, California, as revealed on enhanced Landsat images (1990)
    In:  Other Sources
    Details
    Publication Date: 2011-08-19
    Description: Landsat TM images, subjected to four-component processing through which lithologies can be discriminated by their contrasting absorption and reflection at IR wavelengths, have revealed previously unsuspected strike-slip and normal faults in the central and eastern Mojave Desert. These discriminations, which extend to ferric and ferrous iron and to hydroxyl content without compromise of landform depiction, represent a novel type of geophysical display for geologic mapping in regions of well-exposed bedrock; the faults thus discovered form part of an extensive regional network of right shear which connects Death Valley region faults with those in the San Andreas system.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Science (ISSN 0036-8075); 248; 1000-100
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  • 4
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    Mapping diverse vegetation with multichannel radar images (1986)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Description: Airborne-SAR, SIR-A, Seasat SAR, and Landsat TM images of the Savannah River Plant, a gently sloping area of South Carolina covered with diverse vegetation, are presented and briefly characterized. Preliminary results indicate that multiple-polarization images constructed from the airborne-SAR data give some indication of forest density and understory growth but do not permit discrimination between evergreen and deciduous forests. Heat-tolerant vegetation growing on sand bars in streams bearing thermal effluents from nuclear reactors on the site is found to have a distinguishing polarization signature.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 5
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    Shuttle radar images for geologic mapping in tropical rainforest (1986)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Description: Images of forested low-relief terrain in the Amazon basin of Brazil, obtained with airborne imaging radar in the Radambrasil project, are compared with SIR-A and Landsat MSS band-7 images to evaluate their usefulness in constructing geologic maps. Sample images are shown, and it is found that Radam images are more useful in distinguishing drainage patterns and mapping the region distribution of stream channels due to their relatively low depression angles (less than 25 deg as opposed to 43-37 deg for SIR-A), but that SIR-A images give superior discrimination of alluvial forest, where trees stand in water, due to the higher reflectivity of branches and water at the SIR-A wavelength (23.5 cm as opposed to 3 cm for Radam). Alluvial forest is also identified by Landsat band 7.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 6
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    Space Shuttle radar investigations of Indonesia (1986)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Description: A preliminary interpretation of structure and lithology from selected Shuttle Imaging Radar-B (SIR-B) images of Borneo, collected in October 1984, is presented. The SIR-B images, obtained at depression angles that ranged from 40 to 50 deg, were interpreted by using the approaches suggested by Sabins (1983). On the basis of radar signatures, six terrain categories; coastal and alluvial plains, and carbonate, clastic, volcanic, and melange, rocks, were defined in east, central, and south Kalimantan, and in the Malaysian state of Sarawak.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 7
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    Forest discrimination with multipolarization imaging radar (1985)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Description: The use of radar polarization diversity for discriminating forest canopy variables on airborne synthetic-aperture radar (SAR) images is evaluated. SAR images were acquired at L-Band (24.6 cm) simultaneously in four linear polarization states (HH, HV, VH, and VV) in South Carolina on March 1, 1984. In order to relate the polarization signatures to biophysical properties, false-color composite images were compared to maps of forest stands in the timber compartment. In decreasing order, the most useful correlative forest data are stand basal area, forest age, site condition index, and forest management type. It is found that multipolarization images discriminate variation in tree density and difference in the amount of understory, but do not discriminate between evergreen and deciduous forest types.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 8
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    Shuttle radar mapping with diverse incidence angles in the rainforest of Borneo (1988)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Journal of Remote Sensing (ISSN 0143-1161); 9; 927-943
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  • 9
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    Forest discrimination with multipolarization imaging radar (1985)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Description: The relations between polarization signatures and biophysical characteristics through a range of different forest environments were investigated using airborne synthetic-aperture (SAR) images acquired at L-band on March 1, 1984 in South Carolina. SAR data acquired in four linear polarization states with 10-m spatial resolution were encoded as color composite images and compared to US Forest Service forest stand data. The most useful correlative forest data were stand basal area, forest age, site condition index, and forest management type. It is found that the multipolarization images discriminate variation in tree density or difference in the amount of understory, but no evidence has been found for discrimination between evergreen and deciduous forest types.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
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  • 10
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    Multipolarization radar images for geologic mapping and vegetation discrimination (1986)
    In:  Other Sources
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    Publication Date: 2011-08-19
    Description: NASA has developed an airborne SAR that simultaneously yields image data in four linear polarizations in L-band with 10-m resolution over a swath of about 10 km. Signal data are recorded both optically and digitally and annotated in each of the channels to facilitate completely automated digital correlation. Comparison of the relative intensities of the different polarizations furnishes discriminatory mapping information. Local intensity variations in like-polarization images result from topographic effects, while strong cross polarization responses denote the effects of vegetation cover and, in some cases, possible scattering from the subsurface. In each of the areas studied, multiple polarization data led to the discrimination and mapping of unique surface unit features.
    Keywords: GEOPHYSICS
    Type: IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892); GE-24; 246-257
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