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  • 1
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    Aseismic deformation of a fold-and-thrust belt imaged by synthetic aperture radar interferometry near Shahdad, southeast Iran (2004)
    In:  Geology, Tokyo, Terra Scientific Publishing Company, vol. 32, no. 7, pp. 577-580, pp. B03302, (ISBN: 0534351875, 2nd edition)
    Details
    Publication Date: 2004
    Keywords: Crustal deformation (cf. Earthquake precursor: deformation or strain) ; Geodesy ; InSAR ; Tectonics ; silent ; slow ; red ; Earthquake
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    BIBLIOGRAPHY SEISMOLOGY
  • 2
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    InSAR observations of low slip rates on the major faults of western Tibet (2004)
    In:  Science, Köln, Elsevier, vol. 305, no. 5681, pp. 236-239, pp. 1974, (ISSN: 1340-4202)
    Details
    Publication Date: 2004
    Keywords: Crustal deformation (cf. Earthquake precursor: deformation or strain) ; Structural geology ; Fault zone ; China
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    BIBLIOGRAPHY SEISMOLOGY
  • 3
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    The 2003 Bam (Iran) earthquake: Rupture of a blind strike-slip fault (2004)
    In:  Geophys. Res. Lett., Washington, D.C., AGU, vol. 31, no. 11, pp. 506-526, pp. L11611, (ISSN: 1340-4202)
    Details
    Publication Date: 2004
    Keywords: Earthquake ; Tectonics ; Source parameters ; Fault zone ; GRL
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    BIBLIOGRAPHY SEISMOLOGY
  • 4
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    Sources of Uncertainty in the Prediction of LAI / fPAR from MODIS (2002)
    In:  Other Sources
    Details
    Publication Date: 2019-07-18
    Description: To explicate the sources of uncertainty in the prediction of biophysical variables over space, consider the general equation: where z is a variable with values on some nominal, ordinal, interval or ratio scale; y is a vector of input variables; u is the spatial support of y and z ; x and u are the spatial locations of y and z , respectively; f is a model and B is the vector of the parameters of this model. Any y or z has a value and a spatial extent which is called its support. Viewed in this way, categories of uncertainty are from variable (e.g. measurement), parameter, positional. support and model (e.g. structural) sources. The prediction of Leaf Area Index (LAI) and the fraction of absorbed photosynthetically active radiation (fPAR) are examples of z variables predicted using model(s) as a function of y variables and spatially constant parameters. The MOD15 algorithm is an example of f, called f(sub 1), with parameters including those defined by one of six biome types and solar and view angles. The Leaf Canopy Model (LCM)2, a nested model that combines leaf radiative transfer with a full canopy reflectance model through the phase function, is a simpler though similar radiative transfer approach to f(sub 1). In a previous study, MOD15 and LCM2 gave similar results for the broadleaf forest biome. Differences between these two models can be used to consider the structural uncertainty in prediction results. In an effort to quantify each of the five sources of uncertainty and rank their relative importance for the LAI/fPAR prediction problem, we used recent data for an EOS Core Validation Site in the broadleaf biome with coincident surface reflectance, vegetation index, fPAR and LAI products from the Moderate Resolution Imaging Spectrometer (MODIS). Uncertainty due to support on the input reflectance variable was characterized using Landsat ETM+ data. Input uncertainties were propagated through the LCM2 model and compared with published uncertainties from the MOD15 algorithm.
    Keywords: Earth Resources and Remote Sensing
    Type: American Geophysical Union Fall Meeting; Dec 06, 2002 - Dec 10, 2002; San Francisco, CA; United States
    Format: text
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    NASA TECHNICAL REPORTS
  • 5
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    Advanced Concepts, Technologies and Flight Experiments for NASA's Earth Science Enterprise (2000)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Over the last 25 years, NASA Langley Research Center (LaRC) has established a tradition of excellence in scientific research and leading-edge system developments, which have contributed to improved scientific understanding of our Earth system. Specifically, LaRC advances knowledge of atmospheric processes to enable proactive climate prediction and, in that role, develops first-of-a-kind atmospheric sensing capabilities that permit a variety of new measurements to be made within a constrained enterprise budget. These advances are enabled by the timely development and infusion of new, state-of-the-art (SOA), active and passive instrument and sensor technologies. In addition, LaRC's center-of-excellence in structures and materials is being applied to the technological challenges of reducing measurement system size, mass, and cost through the development and use of space-durable materials; lightweight, multi-functional structures; and large deployable/inflatable structures. NASA Langley is engaged in advancing these technologies across the full range of readiness levels from concept, to components, to prototypes, to flight experiments, and on to actual science mission infusion. The purpose of this paper is to describe current activities and capabilities, recent achievements, and future plans of the integrated science, engineering, and technology team at Langley Research Center who are working to enable the future of NASA's Earth Science Enterprise.
    Keywords: Geophysics
    Type: AIAA Paper 2000-5177 , Space 2000; Sep 19, 2000 - Sep 21, 2000; Long Beach, CA; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 6
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    Global Land Ice Measurements from Space (2004)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The NSIDC at the University of Colorado has successfully completed the tasks outlined in its proposal 0999.08.1216B, the 'Global Land Ice Measurements from Space' grant funded by NASA under NAG5-9722. The Global Land Ice Measurements from Space (GLIMS) grant reported on here is one of the first completed elements of the overall GLIMS project that continues with separate funding from NASA, the United States Geological Survey (USGS), and internationally by many national agencies and universities. The primary goals of GLIMS are to survey significant numbers of the world's 160,000 glaciers with data collected by the ASTER (Advanced Spaceborne Thermal Emission and reflection Radiometer) instrument aboard the EOS Terra spacecraft, and Landsat ETM+ (Enhanced Thematic Mapper Plus) and to make these data available to users in a common and easily usable format. GLIMS participants include: NSIDC as developer of the GLIMS database, USGS Flagstaff as the GLIMS Coordination Center, USGS EROS Data Center (EDC) as the archive for satellite imagery used in GLIMS analyses (NASA funding for GLIMS also includes the Flagstaff group and EDC through the related ASTER Science Team and Land Processes Distributed Active Archive Center [LP DAAC] activities), and approximately twenty two Regional Centers (RCs). RCs are funded by the national agencies of participating countries to analyze satellite imagery for a specified set of glaciological parameters and provide the results to NSIDC for archive and distribution to the public.
    Keywords: Earth Resources and Remote Sensing
    Format: application/pdf
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  • 7
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    Reference and Standard Atmosphere Models (2002)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper describes the development of standard and reference atmosphere models along with the history of their origin and use since the mid 19th century. The first "Standard Atmospheres" were established by international agreement in the 1920's. Later some countries, notably the United States, also developed and published "Standard Atmospheres". The term "Reference Atmospheres" is used to identify atmosphere models for specific geographical locations. Range Reference Atmosphere Models developed first during the 1960's are examples of these descriptions of the atmosphere. This paper discusses the various models, scopes, applications and limitations relative to use in aerospace industry activities.
    Keywords: Geophysics
    Type: 10th Conference on Aviation, Range, and Aerospace Meteorology; May 13, 2002 - May 16, 2002; Portland, OR; United States
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  • 8
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    BOREAS AES READAC Surface Meteorological Data (2000)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: Canadian AES personnel collected and processed data related to surface atmospheric meteorological conditions over the BOREAS region. This data set contains 15-minute meteorological data from one READAC meteorology station in Hudson Bay, Saskatchewan. Parameters include day, time, type of report, sky condition, visibility, mean sea level pressure, temperature, dewpoint, wind, altimeter, opacity, minimum and maximum visibility, station pressure, minimum and maximum air temperature, a wind group, precipitation, and precipitation in the last hour. The data were collected non-continuously from 24-May-1994 to 20-Sep-1994. The data are provided in tabular ASCII files, and are classified as AFM-Staff data.
    Keywords: Earth Resources and Remote Sensing
    Type: NASA/TM-2000-209891/VOL119 , Rept-2000-03136-0/VOL119 , NAS 1.15:209891/VOL119
    Format: application/pdf
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  • 9
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    BOREAS AES MARSII Surface Meteorological Data (2000)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: Canadian AES personnel collected several data sets related to surface and atmospheric meteorological conditions over the BOREAS region. This data set contains 15-minute meteorological data from six MARSII meteorology stations in the BOREAS region in Canada. Parameters include site, time, temperature, dewpoint, visibility, wind speed, wind gust, wind direction, two cloud groups, precipitation, and station pressure. Temporally, the data cover the period of May to September 1994. Geo-graphically, the stations are spread across the provinces of Saskatchewan and Manitoba. The data are provided in tabular ASCII files, and are classified as AFM-Staff data.
    Keywords: Earth Resources and Remote Sensing
    Type: NASA/TM-2000-209891/VOL118 , Rept-2000-03136-0/VOL118 , NAS 1.15:209891/VOL118
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  • 10
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    BOREAS HYD-4 Standard Snow Course Data (2000)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: The Boreal Ecosystem-Atmosphere Study (BOREAS) Hydrology (HYD)-4 work was focused on collecting data during the winter focused field campaign (FFC-W) to improve the understanding of winter processes within the boreal forest. Knowledge of snow cover and its variability in the boreal forest is fundamental if BOREAS is to achieve its goals of understanding the processes and states involved in the exchange of energy and water. The development and validation of remote sensing algorithms will provide the means to extend the knowledge of these processes and states from the local to the regional scale. A specific thrust of the research is the development and validation of snow cover algorithms from airborne passive microwave measurements. Snow surveys were conducted at special snow courses throughout the 1993/94, 1994/95, 1995/96, and 1996/97 winter seasons. These snow courses were located in different boreal forest land cover types (i.e., old aspen, old black spruce, young jack pine, forest clearing, etc.) to document snow cover variations throughout the season as a function of different land cover. Measurements of snow depth, density, and water equivalent were acquired on or near the first and fifteenth of each month during the snow cover season. The data are provided in tabular ASCII files. The HYD-4 standard snow course data are available from the Earth Observing System Data and Information System (EOSDIS) Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC). The data files are available on a CD-ROM (see document number 20010000884).
    Keywords: Earth Resources and Remote Sensing
    Type: NASA/TM-2000-209891/VOL27 , Rept-2000-03136-0/VOL27 , NAS 1.15:209891/VOL27
    Format: application/pdf
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