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  • Heard Island, Laurens Peninsula, Topographic Mapping from Orthophoto Mosaic derived from Non-Metric Photography

    https://cmr.earthdata.nasa.gov/search/concepts/C1214311225-AU_AADC.xml
    Description:

    The Heard Island, Laurens Peninsula, Topographic Data was mapped from Ortho-rectified non-metric photography. The data consists of Coastline, Crater, Volcano, Island, Lagoon, Water Storage and Watercourse datasets digitised from the photography.

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    Minimum Bounding Rectangle: -53.05 73.23 -52.95 73.41

    AU_AADC Short Name: photo_mosaic_laurens_or_TopoMapping Version ID: 1 Unique ID: C1214311225-AU_AADC

  • Hurricane Katrina Imagery from Louisiana State University Earth Scan Laboratory

    https://cmr.earthdata.nasa.gov/search/concepts/C1214621393-SCIOPS.xml
    Description:

    The Louisiana State University Earth Scan Laboratory will continue to provide satellite imagery, analysis, and information as rapidly as possible of Hurricane Katrina and her aftermath. The Earth Scan Laboratory has served the the emergency relief efforts, state-wide, and at the LOHSEP since before Katrina made landfall, and, will continue to provide satellite-based analysis and operational support throughout the recovery effort. Hurricane Katrina's Aftermath is being monitored, and studied with satellite imagery acquired at the ESL, and obtained from outside sources. Links to other sites related to the post-storm analysis are also provided.

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    Minimum Bounding Rectangle: 28 -92 32 -86

    SCIOPS Short Name: LSU_ESL_KATRINA_IMAGERY Version ID: Not provided Unique ID: C1214621393-SCIOPS

  • Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica

    https://cmr.earthdata.nasa.gov/search/concepts/C1214305517-AU_AADC.xml
    Description:

    Measurements of ice velocity and strain rate have been derived by analysis of satellite images for the Lambert Glacier and Amery Ice Shelf system. Two techniques have been applied in the production of the two main sets of velocity values. One technique uses 'feature tracking' in pairs of Landsat TM images. This process uses surface features that persist with time and move with the ice as tracers of the ice motion. The displacement of these features over the time interval between acquisition of the two images in a pair is determined by image correlation. A reference sub-image is extracted from one image and the best correlation is searched for in the other image. The pair of images were registered by comparing fixed features such as rock outcrops or areas of known ice velocity. The analysis is carried at regular increments across and along the images, to produce a regular grid of values. The derived values are edited and accepted according to whether they satisfy certain a priori constraints for the flow in a local region and the statistics of a set of velocity values within a window. The TM images have been pre-processed to project them onto a common reference and projection system, and spliced together, in order to produce a seamless set of velocity values. Many tens of thousands of observations have been extracted along the entire length of the system (about 600+ km). The other technique has been applied to analysis of Synthetic Aperture Radar images. It uses a procedure applied during SAR interferometry [InSAR] to register small sections of the SAR complex image for generation of the phase difference or fringe image. The process we have applied uses maximum coherence as a test for best match or correlation of two image chips extracted from a pair of coherent complex SAR images. This procedure uses the phase information inherent in the SAR data in place of features as used for the TM analysis. From this analysis a set of displacements is derived comparable to the results for feature tracking. The displacements are derived in the range coordinate system of the complex SAR images. The displacements are converted to velocity values in the ground coordinate system. Corrections are also applied at this stage to allow for errors in the satellite orbits for the two sets of SAR acquisitions. One velocity data set derived from analysis of SAR data from the Canadian Space Agency's Radarsat covers an 800 km length of the system. Further data are being extracted by InSAR analysis of SAR data from the European Space Agency's ERS tandem mission. Horizontal components of strain rate are derived from the velocity data using a set of derivative operators in a least-squares solution of an over-constrained set of equations, which uses all velocity values within a computation window. This procedure effectively produces a set of average velocity and strain rate values and accounts for much of the 'noise' in the individual velocity observations. Values of the local longitudinal, transverse and shear strain rate components are derived by rotation of the cartesian values to the local flow direction. This metadata record has been derived from work performed under the auspices of ASAC project 2224 (ASAC_2224).

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    Minimum Bounding Rectangle: -76 60 -69 75

    AU_AADC Short Name: AAD_Ant_LG-AIS_vel_strain Version ID: 1 Unique ID: C1214305517-AU_AADC

  • Ice Velocity Field for Lambert-Amery Glacial Basin Derived from 2000 Radarsat SAR Interferometric Data

    https://cmr.earthdata.nasa.gov/search/concepts/C1219899491-SCIOPS.xml
    Description:

    Ice velocity field for the Lambert-Amery glacial basin, Antarctica are derived based on three-pass Radarsat SAR interferometric data acquired in 2000. Two grids are given in ArcInfo interchangable format. One shows the motion speed in unit of meter per year, and the other shows the motion azimuthal direction in degree. The spatial resolution is 400 m. The grids are in Polar Stereographic projection with reference to WGS84 ellipsoid.

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    SCIOPS Short Name: liu_nsf0126149_01 Version ID: Not provided Unique ID: C1219899491-SCIOPS

  • LBA-ECO LC-03 SAR Images, Land Cover, and Biomass, Four Areas across Brazilian Amazon

    https://cmr.earthdata.nasa.gov/search/concepts/C179003440-ORNL_DAAC.xml
    Description:

    This data set provides three related land cover products for four study areas across the Brazilian Amazon: Manaus, Amazonas; Tapajos National Forest, Para Western (Santarem); Rio Branco, Acre; and Rondonia, Rondonia. Products include (1) orthorectified JERS-1 and RadarSat images, (2) land cover classifications derived from the SAR data, and (3) biomass estimates in tons per hectare based on the land cover classification. There are 12 image files (.tif) with this data set.Orthorectified JERS-1 and RadarSat images are provided as GeoTIFF images - one file for each study area.For the Manaus and Tapajos sites: The images are orthorectified at 12.5-meter resolution and then re-sampled at 25-meter resolution.For the Rondonia and Rio Branco sites: The images from 1978 are orthorectified at 25-meter resolution and then re-sampled at 90-meter resolution. Each GeoTIFF file contains 3 image channels: - 2 L-band JERS-1 data in Fall and Spring seasons and - 1 C-band RadarSat data.Land cover classifications are based on two JERS-1 images and one RadarSat image and provided as GeoTIFFs - one file for each study area. Four major land cover classes are distinguished: (1) Flat surface; (2) Regrowth area; (3) Short vegetation; and (4) Tall vegetation. The biomass estimates in tons per hectare are based on the land cover classification results and are reported in one GeoTIFF file for each study area.DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: The data providers note that due to limited resources, these data have been neither validated nor quality-assured for general use. For that reason, extreme caution is advised when considering the use of these data.Any use of the derived data is not recommended because the results have not been validated. However, the DEM and vectors (related data set), and orthorectified SAR data can be used if the user understands how these were produced and accepts the limitations.

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    Minimum Bounding Rectangle: -10.5 -68.5 -2 -54.5

    ORNL_DAAC Short Name: LC03_SAR_LC_BIOMASS_1093 Version ID: 1 Unique ID: C179003440-ORNL_DAAC

  • Mass flux measurements across the margin of the Antarctic ice sheet

    https://cmr.earthdata.nasa.gov/search/concepts/C1214312644-AU_AADC.xml
    Description:

    Metadata record for data from ASAC Project 2318 See the link below for public details on this project. ---- Public Summary from Project ---- This project is a cooperative venture between Australian and Italian institutes in a study of the mass budget of a large sector of the East Antarctic ice sheet. The mass budget represents the difference between the net input of moisture from the ocean as snow accumulating on the surface and the discharge of ice from the grounded part of the ice sheet. Any mismatch between these input and out put terms produces a direct contribution to change in sea level. Measurements of ice thickness along the coastal margin of the grounded ice sheet, combined with velocity data derived from satellite remote sensing methods, will provide the first direct measurements of the total mass output for the part of the ice sheet draining through this sector of the coastline. The observations will also a baseline against which future change in the mass flux can be assessed. From the abstract of the referenced paper: An air-borne radio echo sounding survey was conducted over the Amery Ice Shelf, East Antarctica, in December 2003. Nine transverse profiles where obtained approximately normal to the flow of direction, together with one longitude profile for a total length of of flight lines of about 1000km. We determined the spatial distribution of the characteristics of the RES signal returned from the ice-water interface at the base of the shelf. The key characteristics are described by the amplitude of the echo and the slope of the leading edge of the returned pulse. For the mass flux we ice thickness values extracted from our RES data, and velocities derived form InSAR maximum coherence tracking in pairs of Radarsat SAR images, with control provided by surface measurements. We calculate the mass budget for a set of discrete areas bounded by our RES survey lines across the shelf, and flow-lines derived from the velocity field (modified in the across shelf components of the velocity) and from linear flow-features identified in the satellite images. using available estimates of the snow accumulation rate at the upper surface, and assuming the ice thickness and velocities are stationary in time, we attribute the mass imbalance within a sub-area to be the result of melt or freeze at the base of the shelf. Both, the distribution of values of melt-freeze rates, and of the characteristics basal echoes form distinct patterns that appear to be influenced by variations in the ice draft and conditions in the sub-shelf ocean cavity. We find a net melt regime associated with the deeper draft to the South and under the central part of the shelf, and net freeze conditions in the North and sides, particularly towards the western margin. the strength of the electromagnetic signals reflected from the ice water-interface shows a similar pattern of variation along all nine transverse profiles. We find a strong association with basal mass balance Summary of progress 2004/2005 The field phase of the project was completed in 03/04 season. Current work involves analysis and interpretation of the Radio Echo Sounding measurements of ice thickness. An initial appraisal was completed of all RES data. A coarsely-spaced set of preliminary estimates of ice thickness were extracted and merged with GPS position data for generation of a first-cut distribution of ice thickness round a large sector of the ice sheet margin. New analysis systems have been developed and to-date applied to 25% of the data for extraction of detail ice thickness information and characteristics of the radar echoes. An initial assessment of all the RES data collected during the field work has been completed. Preliminary ice thickness estimates have been extracted at coarse spacing along the flight lines to generate a first-cut assessment of the ice thickness distribution for planning next phases of the project and for assessment of the need for additional field work. Those data have been merged with GPS position data collected at a ten-second time-interval along the flight track. This work has been carried out primarily by the Italian investigators. In Australia, software systems have been developed to carry out the full-resolution analysis of the digital RES data. This analysis system is based on developments undertaken in AAS project # 2224. To-date, data analysis using this system has been completed for all flights over the Amery Ice Shelf, and analysis of flights over the Law Dome, Totten Glacier, Moscow University Ice Shelf is nearing completion. As part of the depth extraction procedure, algorithms have been developed and implemented that allow extraction of the echo characteristics for an horizon identified in the digital record. For the echoes forming that horizon, the leading-edge slope, peak and base power, echo-width, and height are extracted. These characteristics vary with the characteristics of the reflector in the ice and can be related to roughness, reflectivity coefficient (dielectric contrast), etc. For the flight lines over the Amery Ice Shelf we have found a spatially coherent pattern in the variation in the echo-height and leading-edge-slope of the basal echo that appears to correspond to variation between individual flow-bands of reflection properties of the ice-water interface. This is a recent preliminary finding and work is continuing with these aspects. This detail analysis phase of the project is being carried out jointly by N Young and A Forieri during a 5-month visit by A Forieri to the ACE CRC funded by PNRA (Italy) and ACE CRC.

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    Minimum Bounding Rectangle: -70 62 -62 159

    AU_AADC Short Name: ASAC_2318 Version ID: 1 Unique ID: C1214312644-AU_AADC

  • MEaSUREs Annual Antarctic Ice Velocity Maps 2005-2017 V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1458152674-NSIDC_ECS.xml
    Description:

    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides 12 annual maps of Antarctic ice velocity from 2005-2017. The maps are assembled using SAR data from the Japanese Space Agency's (JAXA) ALOS PALSAR, the European Space Agency's (ESA) ENVISAT ASAR and Copernicus Sentinel-1, the Canadian Space Agency's (CSA) RADARSAT-1, RADARSAT-2, the German Aerospace Agency's (DLR) TerraSAR-X (TSX) and TanDEM –X (TDX), and the U.S. Geological Survey's (USGS) Landsat-8 optical imagery acquired between 2005 and 2017. See <a href="https://nsidc.org/data/measures/aiv">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.

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    Minimum Bounding Rectangle: -90 -180 -60 180

    NSIDC_ECS Short Name: NSIDC-0720 Version ID: 1 Unique ID: C1458152674-NSIDC_ECS

  • MEaSUREs Annual Greenland Outlet Glacier Terminus Positions from SAR Mosaics V001

    https://cmr.earthdata.nasa.gov/search/concepts/C1413880084-NSIDC_ECS.xml
    Description:

    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides Greenland outlet glacier terminus positions created from MEaSUREs Synthetic Aperture Radar (SAR) mosaics and Landsat 8 OLI imagery. See <a href="http://nsidc.org/data/measures/gimp">Greenland Ice Mapping Project (GIMP)</a> for related data.

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    Minimum Bounding Rectangle: 60 -75 83 -14

    NSIDC_ECS Short Name: NSIDC-0642 Version ID: 1 Unique ID: C1413880084-NSIDC_ECS

  • MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar V002

    https://cmr.earthdata.nasa.gov/search/concepts/C1454773262-NSIDC_ECS.xml
    Description:

    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides maps of Antarctic ice shelves, Antarctic basins, and the Antarctic coastline. The maps are assembled from 2008-2009 ice-front data from the Japan Aerospace Exploration Agency's (JAXA) ALOS PALSAR and European Space Agency's ENVISAT ASAR data, acquired during International Polar Years 2007-2009 (IPY); the InSAR-based grounding line data (MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry), augmented with other grounding line sources; the Antarctic ice velocity map (MEaSUREs InSAR-Based Antarctica Ice Velocity Map); and the Bedmap-2 DEM. See <a href="https://nsidc.org/data/measures/aiv">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.

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    Minimum Bounding Rectangle: -90 -180 -60 180

    NSIDC_ECS Short Name: NSIDC-0709 Version ID: 2 Unique ID: C1454773262-NSIDC_ECS

  • MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry V002

    https://cmr.earthdata.nasa.gov/search/concepts/C1573480652-NSIDC_ECS.xml
    Description:

    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides 22 years of comprehensive high-resolution mapping of grounding lines in Antarctica from 1992 to 2014. The data were derived using differential satellite synthetic aperture radar interferometry (DInSAR) measurements from the following platforms: Earth Remote Sensing Satellites 1 and 2 (ERS-1 and ERS-2), RADARSAT-1, RADARSAT-2, the Advanced Land Observing System Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR), Cosmo Skymed, and Copernicus Sentinel-1. See <a href="https://nsidc.org/data/measures/aiv">Antarctic Ice Sheet Velocity and Mapping Data</a> for related data.

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    Minimum Bounding Rectangle: -90 -180 -60 180

    NSIDC_ECS Short Name: NSIDC-0498 Version ID: 2 Unique ID: C1573480652-NSIDC_ECS