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  • Other Sources  (193)
  • Earth Resources and Remote Sensing
  • 2020-2022  (5)
  • 1990-1994  (180)
  • 1900-1904  (8)
  • 1
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    In:  CASI
    Publication Date: 2020-01-24
    Description: The Alpha Jet Atmospheric eXperiment (AJAX) airborne science project based out of NASA Ames Research Center performed eight science flights in coordination with the California Baseline Ozone Transport Study (CABOTS) campaign. Many of these flights included a series of vertical profiles (~ 0-5 km) distributed roughly along either a North/South or East/West transect. Some flights also connected the fixed-location measurements at Visalia (TOPAZ ozone lidar) and Bodega Bay (ozonesondes). AJAX measured ozone, carbon dioxide, methane, water vapor, and 3-D winds on each flight, and those in situ measurements are the basis of the data sets collected here. Trace gas data sets including time and aircraft position have been delivered as comma-separated-value text files. Meteorological data (temperature, pressure and 3-dimensional winds) are provided at 1 Hz in ICARTT-compliant text files.
    Keywords: Earth Resources and Remote Sensing
    Type: ARC-E-DAA-TN77025
    Format: application/pdf
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  • 2
    Publication Date: 2020-01-23
    Description: Adjoint models are powerful tools that can be used to estimate the impact of observations on a chosen norm for numerical weather prediction forecasts. In this study, the Global Modeling and Assimilation Office (NASA/GMAO) Observing System Simulation Experiment framework is employed to investigate the behavior of the adjoint tool in an environment where the 'true' state of the atmosphere is fully known. This allows for the calculation of adjoint estimates of observation impact for very short forecast times including the zero-hour analysis state. The adjoint calculations using self-analysis verification can also be compared to adjoint calculations using the 'truth' as verification in order to characterize the robustness of adjoint estimations in the operational setting. Results from a experiments exploring various aspects of performance of the adjoint tool will be presented.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN76951 , AMS Annual Meeting; Jan 12, 2020 - Jan 16, 2020; Boston, MA; United States
    Format: application/pdf
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  • 3
    Publication Date: 2020-01-23
    Description: Some of the most intense thunderstorms on the planet occur in the Hindu Kush Himalaya (HKH) region of South-Central Asia. NASA/SERVIR Applied Sciences Team competitive project to develop capacity of severe thunderstorm monitoring and forecasting tool for HKH. Project Goal: Use [NASA] modeling and remote-sensing assets to build early warning capabilities and facilitate timely disaster response for high impact weather events in the HKH region. Specific objectives: 1. Prototype and transition High-Impact Weather Assessment Toolkit (HIWAT) 2. Jointly develop HIWAT capabilities & training with SERVIRs hub in Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD) 3. Demonstrate capacity in end-user environment 4. Transition HIWAT system to ICIMOD for future maintenance.
    Keywords: Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN76785 , AMS Annual Meeting; Jan 12, 2020 - Jan 16, 2020; Boston, MA; United States
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  • 4
    Publication Date: 2020-01-23
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN76637 , AMS Annual Meeting; Jan 12, 2020 - Jan 16, 2020; Boston, MA; United States
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  • 5
    Publication Date: 2020-01-15
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN76438 , ESIP Winter Meeting; Jan 07, 2020 - Jan 09, 2020; Bethesda, MD; United States
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  • 6
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    Unknown
    In:  Other Sources
    Publication Date: 2019-08-17
    Description: The Land Surface data include bihemispherical and directional-hemispherical reflectances (albedo), hemispherical directional and bidirectional reflectance factors (BRF), BRF model parameters, leaf-area index (LAI), fraction of photosynthetically active radiation (FPAR), and normalized difference vegetation index (NDVI) on a 1.1 km grid. The land surface data include hemispherical directional reflectance factor, bihemispherical reflectance (i.e., albedo), bidirectional reflectance factor, directional hemispherical reflectance, BRF model parameters, FPAR, and terrain-referenced view and illumination angles. [Location=GLOBAL LAND] [Temporal_Coverage: Start_Date=2000-02-24; Stop_Date=] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180] [Data_Resolution: Latitude_Resolution=1.1 km - 17.6 km; Longitude_Resolution=1.1 km - 17.6 km; Horizontal_Resolution_Range=1 km - 〈 10 km or approximately .01 degree - 〈 .09 degree; Temporal_Resolution=about 15 orbits/day].
    Keywords: Earth Resources and Remote Sensing
    Format: text
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  • 7
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    In:  CASI
    Publication Date: 2019-08-17
    Description: Old aircraft considered not restorable are melted down in on-site furnaces to reclaim the aluminum in their airframes. The process produces aluminum ingots and leaves a residue known as "dross." Because dross contains contaminants like lead silver cadmium and copper, Pima County, the dross dumping site, wanted to locate areas where dross had been dumped. Dr. Larry Lepley and Sandra L. Perry used the Landsat Thematic Mapper to screen for dross. A special two-step procedure was developed to separate the dross dumps (typically no larger than 50 meters across) from the desert background. The project has opened the door for similar applications.
    Keywords: Earth Resources and Remote Sensing
    Type: Spinoff 1994; 58; NASA-NP-214
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  • 8
    Publication Date: 2019-08-17
    Description: Remote-sensing reflectance is easier to interpret for the open ocean than for coastal regions because the optical signals are highly coupled to the phytoplankton (e.g., chlorophyll) concentrations. For estuarine or coastal waters, variable terrigenous colored dissolved organic matter (CDOM), suspended sediments, and bottom reflectance, all factors that do not covary with the pigment concentration, confound data interpretation. In this research, remote-sensing reflectance models are suggested for coastal waters, to which contributions that are due to bottom reflectance, CDOM fluorescence, and water Raman scattering are included. Through the use of two parameters to model the combination of the backscattering coefficient and the Q factor, excellent agreement was achieved between the measured and modeled remote-sensing reflectance for waters from the West Florida Shelf to the Mississippi River plume. These waters cover a range of chlorophyll of 0.2-40 mg/cu m and gelbstoff absorption at 440 nm from 0.02-0.4/m. Data with a spectral resolution of 10 nm or better, which is consistent with that provided by the airborne visible and infrared imaging spectrometer (AVIRIS) and spacecraft spectrometers, were used in the model evaluation.
    Keywords: Earth Resources and Remote Sensing
    Type: NASA-CR-203705 , NAS 1.26:203705 , Applied Optics (ISSN 0003-6935); 33; 24; 5721-5732
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  • 9
    Publication Date: 2019-08-17
    Description: We assessed the statistical relations between Spectral Vegetation Indices (SVI's) derived from SPOT multi-spectral data and semi-arid shrub cover at the Jornada LTER site in New Mexico. Despite a limited range of shrub cover in the sample the analyses resulted in r(sup 2) values as high as 0 central dot 77. Greenness SVI's (e.g., Simple Ratio, NDVI, SAVI, PVI and an orthogonal Greenness index) were shown to be more sensitive to shrub type and phenology than brightness SVis (e.g., green, red and near-infrared reflectances and a Brightness index). The results varied substantially with small-scale changes in plot size (60m by 60m to 100m by 100m) as a consequence of landscape heterogeneity. The results also indicated the potential for the spectral differentiation of shrub types, and shrubs from grass, using multi-temporal, multi-spectral analysis.
    Keywords: Earth Resources and Remote Sensing
    Type: NASA-CR-204274 , NAS 1.26:204274 , Int. J. Remote Sensing (ISSN 0143-1161); 14; 18; 3395-3416
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  • 10
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    Unknown
    In:  CASI
    Publication Date: 2019-08-17
    Description: The Computer Graphics Center of North Carolina State University uses LAS, a COSMIC program, to analyze and manipulate data from Landsat and SPOT providing information for government and commercial land resource application projects. LAS is used to interpret aircraft/satellite data and enables researchers to improve image-based classification accuracies. The system is easy to use and has proven to be a valuable remote sensing training tool.
    Keywords: Earth Resources and Remote Sensing
    Type: Spinoff 1991; 91; NASA-NP-147
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