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500 metre interval contours of Antarctica derived from ERS radar altimetry data.
https://cmr.earthdata.nasa.gov/search/concepts/C1214308545-AU_AADC.xmlDescription:500 metre interval contours of the Antarctic continent derived from slope corrected orthometric heights that were captured using European Remote Sensing (ERS) radar altimetry. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -82 -180 -65 180AU_AADC Short Name: ERS_CONT_500_ANT Version ID: 1 Unique ID: C1214308545-AU_AADC
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A digital terrain model of Antarctica in Triangulated Irregular Network (TIN) format, derived from ERS Radar Altimetry.
https://cmr.earthdata.nasa.gov/search/concepts/C1214308549-AU_AADC.xmlDescription:An ESRI formatted triangular irregular network (TIN) of the Antarctic continental terrain, derived from ERS radar altimeter data. The data is in a Polar Stereographic projection with true scale at 71 degrees South. The TIN is unreliable in latitudes south of 82 degrees South and steep areas of the continent, particularly along the coast. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -82 -180 -65 180AU_AADC Short Name: ERS_DTM_TIN_ANT Version ID: 1 Unique ID: C1214308549-AU_AADC
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Antarctic 5-km Digital Elevation Model from ERS-1 Altimetry, Version 1
https://cmr.earthdata.nasa.gov/search/concepts/C1386207013-NSIDCV0.xmlDescription:This data set provides a Digital Elevation Model (DEM) for Antarctica to 81.5 degrees south latitude, at a resolution of 5 km. Approximately twenty million data points were used to generate this data set. Data points were derived from ERS-1 radar altimetry during the geodetic phase from March 1994 to May 1995.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -81 -180 -65 180NSIDCV0 Short Name: NSIDC-0076 Version ID: 1 Unique ID: C1386207013-NSIDCV0
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Antarctic iceberg sizes and spatial distribution from SAR image analysis - Map
https://cmr.earthdata.nasa.gov/search/concepts/C1214311458-AU_AADC.xmlDescription:This map shows the distribution of the iceberg data extracted from ERS SAR images. Icebergs are identified in Synthetic Aperture Radar [SAR] images by image analysis using the texture and intensity of the microwave backscatter observations. The images are segmented using an edge detecting algorithm, and segments identified as iceberg or background, which may be sea ice, open water, or a mixture of both. Dimensions of the icebergs are derived by spatial analysis of the corresponding image segments. Location of the iceberg is derived from its position within the image and the navigation data that gives the location and orientation of the image. More than 20,000 individual observations have been extracted from SAR images acquired by the European Space Agency's ERS-1 and 2 satellites and the Canadian Space Agency's Radarsat satellite. Because images can overlap, some proportion of the observations represent multiple observations of the same set of icebergs. Most observations relate to the sector between longitudes 70E and 135E. The data set includes observations from several other discrete areas around the Antarctic coast. In general observations are within 200 km of the coast but in limited areas extend to about 500 km from the coast. This metadata record has been derived from work performed under the auspices of ASAC project 2187 (ASAC_2187). The map in the pdf file shows the extent of the coverage of individual SAR scenes used in the analysis and the abundance and size characteristics (by a limited colour palette) of the identified icebergs.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -80 70 -55 135AU_AADC Short Name: AAD_Ant_iceberg_SAR Version ID: 1 Unique ID: C1214311458-AU_AADC
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Atmospheric Thematic Data Product [MWR_TDPATM]
https://cmr.earthdata.nasa.gov/search/concepts/C3325393992-ESA.xmlDescription:This is the Atmospheric Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing Total Column Water Vapour (TCWV), Cloud Liquid Water Path (LWP), Atmospheric Attenuation of the altimeter backscattering coefficient at Ku-band (AttKu), and Wet Tropospheric Correction (WTC), retrieved from observations of the Microwave Radiometer (MWR) instruments flown on-board the ERS-1, and ERS-2, and Envisat satellites. Compared to existing datasets, the Atmospheric TDP demonstrates notable improvements in several aspects: Improved temporal coverage, especially for ERS-2 Improved L0 -> 1 processing Two different corrections are provided based on a neural network retrieval or on a 1D-VAR approach The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -90 -180 90 180ESA Short Name: TDPforAtmosphere Version ID: 4.0 Unique ID: C3325393992-ESA
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BOREAS Follow-On DSP-04 1994 ERS-1 Level-4 Landscape Freeze/Thaw Maps, Ver. 1.0
https://cmr.earthdata.nasa.gov/search/concepts/C2956500512-ORNL_CLOUD.xmlDescription:The BOREAS DSP-4 team acquired and analyzed imaging radar data from the ESA's ERS-1 over a complete annual cycle at the BOREAS sites in Canada in 1994 to detect shifts in radar backscatter related to varying environmental conditions. Two independent transitions correlating with snow melt and soil thaw onset, and possible canopy thaw were revealed by the data.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 48 -111 60 -90ORNL_CLOUD Short Name: BFO_dsp04_ers_freeze-thaw_maps_590 Version ID: 1 Unique ID: C2956500512-ORNL_CLOUD
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BOREAS RSS-17 1994 ERS-1 Level-3 Freeze/Thaw Backscatter Change Images
https://cmr.earthdata.nasa.gov/search/concepts/C2929141520-ORNL_CLOUD.xmlDescription:The BOREAS RSS-17 team acquired and analyzed imaging radar data from the ESA's ERS-1 over a complete annual cycle at the BOREAS sites in Canada in 1994 to detect shifts in radar backscatter related to varying environmental conditions. Two independent transitions corresponding to soil thaw and possible canopy thaw were revealed by the data. The results demonstrated that radar provides an ability to observe thaw transitions at the beginning of the growing season, which in turn helps constrain the length of the growing season.
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Minimum Bounding Rectangle: 50.09 -111 59.98 -93.5ORNL_CLOUD Short Name: rss17fth_484 Version ID: 1 Unique ID: C2929141520-ORNL_CLOUD
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Brightness Temperature images processed and delivered in near-real time from the AVHRR and ATSR instruments at Tromso Satellite Station
https://cmr.earthdata.nasa.gov/search/concepts/C1214607945-SCIOPS.xmlDescription:Under an ESA contract TSS receives global ATSR data from the ERS-1 satellite. This is a demonstration project where data is processed in Tromso and the products are distributed directly to the end user. The UK Met. Office is one of the users having received ATSR data products from TSS. This near real-time service is set up using Internet for transmission of the products. The operational service aquires an average of 10 ERS-1 passes a day, every day throughout the year. Through this near real-time demonstration project, the TSS infrastructure has proven to be very well suited for supporting an operational service with useful and necessary information. A full resolution ATSR data product chain has also been implemented very recently. TSS can now offer in near-real time full resolution (1 km) brightness and sea surface temperature products. The coverage is global for the ATSR, and for the AVHRR the coverage is that of TSS (i.e. Europe).
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 50 -55 90 110SCIOPS Short Name: BT_images Version ID: Not provided Unique ID: C1214607945-SCIOPS
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Burnt Areas in Central Africa
https://cmr.earthdata.nasa.gov/search/concepts/C1214155421-SCIOPS.xmlDescription:The Fire Product: Burnt Areas in Central Africa was part of the International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) Regional Satellite Fire Data Compilation CD-ROM. Three hundred and ten Along Track Scanning Radiometer (ATSR-1) data over Central Africa were used to detect areas affected by burning during the 1994-1995 dry season. An algorithm was developed to detect areas where over 50% of the pixel had burnt. The general features of the data show the movement of burnt areas south across Central Africa as the dry season progresses. The data set provided consists of a raster image of Central Africa. Each value in the raster image relates a point where burnt areas were detected within the period 15 October 1994 to 10 March 1995. See also: http://www.gvm.sai.jrc.it/
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -2 11 14 33SCIOPS Short Name: IGBP-DIS_FIRE_CAFRICA Version ID: Not provided Unique ID: C1214155421-SCIOPS
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CDDIS_SLR_predictions
https://cmr.earthdata.nasa.gov/search/concepts/C1000000025-CDDIS.xmlDescription:Predicted satellite orbits for Satellite Laser Ranging (SLR) tracking of satellites equipped with corner cube retroreflectors. SLR stations download these prediction files and coordinate tracking schedules for satellite acquisition. The predicted orbit files typically contain orbit information for multiple days and are issued on a daily or sub-daily basis.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -90 -180 90 180CDDIS Short Name: CDDIS_SLR_predictions Version ID: 1 Unique ID: C1000000025-CDDIS