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- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:14:31.000Z
This data set contains proportional estimates for the vegetative cover types of tree cover, herbaceous vegetation, and bare ground over South America for the period 2000-2001. These products were derived from all seven bands of the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Terra satellite. A set of 500-m MOD09A1 Surface Reflectance 8-day minimum blue reflectance composites were used as input data. To reduce the presence of cloud shadows, The data were converted to 40-day composites using a second darkest albedo (sum of blue, green, and red bands), and the Vegetation Continuous Fields (VCF) algorithmn was utilized (Hansen et al., 2002). The VCF shows how much of a land cover such as forest or grassland exists anywhere on the land surface. The VCF product may depict areas of heterogeneous land cover better than traditional discrete classification schemes which shows where land cover types are concentrated. There are three images provided in GeoTIFF format.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:09:21.000Z
The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid-Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and include the same attribute values with the exception of Italy, which does not contain distribution values.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:18:38.000Z
Vescent Photonics propose to develop a chip-sized narrow linewidth (< 50 kHz), widely tunable (> 10 nm's) diode laser that will be suitable for a wide variety of NASA remote sensing missions. The proposed laser platform enables easy selection of the laser center wavelength; these lasers can be easily built for any wavelength that a diode laser gain chip exists (< 670 nm to > 2.5 microns). Since spectral features of important molecular species cover a large wavelength window this center-wavelength flexibility is advantageous. This effort will focus on lasers operating in the 1.57 and 2.0 micron CO2 band, and the 1.26 micron O2 band, such as is required for ASCENDS-type missions. Rapid wide wavelength tunability will enable scans over large portions of spectral bands, which can minimize the impact of contaminant and thermal effects on total column density measurement. These lasers will provide for very fast phase (up to 10 GHz) modulation and be built with space qualifiable components. Collaborative relationships with established aerospace companies will be exploited to facilitate insertion of this technology into NASA missions.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:35:35.000Z
The proposed innovation will dramatically improve the performance of tritium-powered betavoltaic batteries through the development of a high-aspect ratio, expanded surface area p/n junction composed of indium gallium phosphide. The enhanced surface area features will be built using reactive ion etch (RIE) modified germanium substrates via metalorganic chemical vapor deposition (MOCVD). The proposed 3-dimensional betavoltaic p/n junction will provide a cost saving of up to 90%, while increasing energy density to up to ten times that of lithium batteries. Such an advanced semiconductor device will produce much higher power outputs than are possible with existing state-of-the-art devices. It will provide the battery a life span in excess of 20 years with the broad-range temperature-insensitivity benefits normally associated with betavoltaics. This increased power/energy density for tritium betavoltaics will open up pathways for significant advances in power solutions for diminutive sized, low-power microelectronic devices that may be used in Cubesat and in-space power systems. Example applications include microwatt-to-milliwatt autonomous 20+ year sensors/microelectronics for use in structural monitoring, mesh networks, tagging and tracking wireless sensors, medical device implants, and deep space power where solar is not easily available. Tritium betavoltaics are capable of addressing this power niche for devices requiring reliable, uninterrupted power through extremes of temperature, longevity and diminutive form factors where traditional batteries cannot operate.
OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T04:54:19.000Z
The improved Level-2 OMI Aerosol Product 'OMAERO' is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omaero_v003.shtml ) from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. This is the second public release of version 003. The data was re-processed in late 2011 using an improved algorithm (processing version 188.8.131.52). After some quick validation the reprocessed data was released to the public in March 2012. There are two Level-2 Aura OMI aerosol products OMAERUV and OMAERO. The OMAERUV product uses the near-UV algorithm. The OMAERO product is based on the multi-wavelength algorithm and that uses up to 20 wavelength bands between 331 nm and 500 nm. OMAERO retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAERO product contains Aerosol Optical Depths, Single Scatterin Albedo and other ancillary and geolocation informations. (The shortname for this Level-2 Aerosol Product is OMAERO_V003) OMAERO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERO data product is about 6 Mbytes. A short OMAERO Readme Documnt that includes brief algorithm description, data quality related issues is available from the site(http://disc.gsfc.nasa.gov/Aura/OMI/documents/v003/OMAERO_README.doc) Data Category Parameters: The OMAERO data file contains a swath which consists of two groups: Data fields: aerosol optical thickness, single scattering albedo, aerosol absorption indices, aerosol type, layer height, Aerosol Extinction Optical Depths and other intermediate and ancillary parameters and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:14:55.000Z
The proposed hyperspectral plus LWIR system will deliver high signal to noise performance, a wide spectral range, nominally 365 nm to 1.7 um, a single long wave IR band, low optical aberration This sensor system is designed to fit within the size, weight, and power (SWaP) envelopes of small to medium sized UAS (such as the Sierra operated by NASA Ames Research Center) and manned light aircraft (such as the Cessna 172). The system is based on an anamorphic hyperspectral imager. In addition to the UV/Vis/SWIR hyperspectral imager the system will include a single band Long Wave IR (LWIR) imager providing temperature information which is useful for a wide variety of environmental research, and extends the application of the instrument to a number of problems including disaster response, oil spill mapping and detection, and wild fire research. With this NASA SBIR proposal we will develop the system specifically for environmental research and monitoring to a TRL 8 with the final six months of the Phase II dedicated to calibration, flight tests, and development of a certified installation for light aircraft.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T04:57:32.000Z
The OMI/Aura and MODIS/Aqua Merged Cloud Product 1-Orbit L2 Swath 13x24 km (OMMYDCLD) is a Level-2 orbital product that combines cloud parameters retrieved by the Ozone Mapping Instrument (OMI) on the Aura satellite with collocated statistical information for cloud parameters retrieved by the Moderate Resolution Imaging Spectrometer (MODIS) on the Aqua spacecraft. This product is designed to take advantage of the synergy between OMI and MODIS, which both fly on satellites in the NASA A-Train constellation of Earth-observing satellites that follow similar orbital tracks and collect near-simultaneous observations. This product can be used for cloud-clearing, detection of multi-layered clouds, and other applications that may exploit these multi-spectral measurements. The algorithm for the OMMYDCLD product co-locates daytime cloud parameters from MODIS onto the OMI visible (VIS) pixel for a given OMI orbit and generates statistical information from the collocated MODIS pixels. For each OMI granule, the orbit start and end times are used to select the corresponding 5-minute MODIS granules for processing. A contiguous list of MODIS granules spanning the full duration of the OMI orbit are selected based on the relative time lag between Aqua and Aura. The algorithm lead for this product is NASA OMI scientist Dr. Joanna Joiner. OMMYDCLD data files are stored in the EOS Hierarchical Data Format (HDF-EOS5) using the swath model, and follows the same conventions used by the other OMI Level-2 data products. Each file contains data from the day lit portion of an orbit (about 53 minutes). There are approximately 14 orbits per day. The file size for the OMMYDCLD data product is about 8 Mbytes. Data Category Parameters: The OMMYDCLD data file contains one swath which consists of two groups: Data fields: Effective Cloud Fraction and Cloud Top Pressures and MODIS histogram statistics and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:40:21.000Z
A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:52:48.000Z
This data set provides a map of selected areas with defined tree canopy cover over the circumpolar taiga-tundra ecotone (TTE). Canopy cover was derived from the 500-meter MODIS Vegetation Continuous Fields (VCF) product as averaged over six years from 2000-2005 and processed as described in Ranson et al. (2011). This process identified patches of low tree canopy cover which are indicative of the transition from forest to tundra and differentiate the circumpolar taiga-tundra ecotone for the 2000-2005 period. The TTE is the Earth's longest vegetation transition zone and stretches for more than 13,400 km around Arctic North America, Scandinavia, and Eurasia. In Eurasia, the map extends from 60 degrees N to 70 degrees N, and in North America from 50 degrees N to 70 degrees N, excluding Baffin Island in northeastern Canada and the Aleutian Peninsula in southwestern Alaska. Note that for this product, taiga is being used one and the same as boreal forest.This circumpolar TTE area was classified according to VCF tree canopy cover.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:43:05.000Z
<p> The TOAST instrument is an open-loop processor of GPS navigation signals. The electronics fits on a single 10 cm square card with RF components and digital components on opposite sides. A dime-sized programmable chip (FPGA) acts as a signal processor for the GPS signals of up to 10 satellites. This FPGA is under the control of a very low-power Linux CPU which handles all of the tracking models for very weak GPS signals transecting the atmosphere. Unlike typical GPS receivers, TOAST tracks without tight phase-locked loop tracking of the received carrier phase. For any given GPS satellite to be observed, TOAST generates a precise 3rd order range and phase model and only updates the FPGA every 1 - 10 seconds. This allows the processor to be loosely coupled with the signal processing to the point where, given sufficient ground to space bandwidth, TOAST can be controlled by a ground-based CPU. However, in this implementation, a Linux CPU will accompany the RF and FPGA logic to provide real-time data.</p>