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  • Land Cover Classification, Snow Cover, and Fractional Snow-Covered Area Maps from Maxar WorldView Satellite Images V001

    https://cmr.earthdata.nasa.gov/search/concepts/C3273595705-NSIDC_CPRD.xml
    Description:

    This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from WorldView-2 and WorldView-3 stereo panchromatic and multispectral images; (2) binary snow maps derived from the land cover maps; and (3) 30 m and 465 m fractional snow-covered area (fSCA) maps, produced via downsampling of the binary snow maps. The land cover classification maps feature between three and six classes common to mountainous regions and integral for accurate stereo snow depth mapping: illuminated snow, shaded snow, vegetation, exposed surfaces, surface water, and clouds. Also included are Landsat and MODSCAG fSCA map products. The source imagery for these data are the Maxar WorldView-2 and Maxar WorldView-3 Level-1B 8-band multispectral images, orthorectified and converted to top-of-atmosphere reflectance. These Level-1B images are available under the NGA NextView/EnhancedView license.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 48.269722 -121.179528 48.441717 -120.932614

    NSIDC_CPRD Short Name: WV_LCC_SC_FSCA Version ID: 1 Unique ID: C3273595705-NSIDC_CPRD

  • MEaSUREs Greenland Ice Mapping Project (GrIMP) Digital Elevation Model from GeoEye and WorldView Imagery V002

    https://cmr.earthdata.nasa.gov/search/concepts/C3298020488-NSIDC_CPRD.xml
    Description:

    This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet, derived from sub-meter resolution, panchromatic stereoscopic imagery collected by the GeoEye-1, WorldView-1, -2, and -3 satellites operated by Maxar Technologies. The DEM was created from in-track image pairs (i.e., both images collected minutes apart along the same orbital pass) and cross-track images (i.e., from different orbits) within the in-track imaging geometry and maximum time separation criteria. The DEM is registered to ATLAS/ICESat-2 L3A Land Ice Height, Version 5 (ATL06, V5) data collected in the summers of 2019 and 2020. See <a href="http://nsidc.org/data/measures/gimp">Greenland Ice Mapping Project (GrIMP)</a> for related data

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 60 -75 83 -14

    NSIDC_CPRD Short Name: NSIDC-0715 Version ID: 2 Unique ID: C3298020488-NSIDC_CPRD

  • Orthorectification of WorldView-2 imagery of eastern Heard Island, acquired 23 December 2010

    https://cmr.earthdata.nasa.gov/search/concepts/C1214314141-AU_AADC.xml
    Description:

    This WorldView-2 image of the east coast of Heard Island was collected on 23 Dec. 2010. (Satellite Image Catalogue id=2262 and 2263) The 0.5 m resolution panchromatic band and 2 m resolution multispectral bands were separately orthorectified and two separate image tiles were mosaiced. The images are the result of a rigorous orthorectification of the panchromatic band and eight multispectral bands of the two WorldView-2 images. The images were orthorectified with the TerraSAR-X DEM acquired in Oct 2009. The digital elevation model used in the orthrectification is described by the metadata record 'A Digital Elevation Model of Heard Island derived from TerraSAR satellite imagery' - Entry ID: heard_dem_terrasar The orthorectification of the two Worldview-2 image tiles was carried out in ENVI 4.8. No GCPs were used for the orthorectification process given the very high absolute accuracy of the RPC positioning of WorldView-2. Previously problems were encountered (significant geometric errors) with orthorectification of IKONOS 2004 imagery with DGPS GCPs collected by Dr Jenny Scott. The current orthorectification is considered more accurate given the high absolute spatial accuracy of WorldView-2 (CE90 = 3.5 m) and the more detailed TerraSAR-X DEM of Heard Island. The resulting image is considered a base image for subsequent geometric processing and co-registration of other images (e.g. IKONOS image acquired in 2004 for change detection). The two tiles were mosaiced along a manually digitised cutline in ENVI. For a more detailed description of this process we refer to the report available for download from the provided URL. Personnel involved with this dataset. Dr Arko Lucieer (principal investigator) Iain Clarke (research assistant: geometric corrections) Desiree Treichler (research assistant: radiometric and atmospheric corrections)

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -53.202 73.556 -53.013 73.744

    AU_AADC Short Name: worldview-2_23dec2010_ortho Version ID: 1 Unique ID: C1214314141-AU_AADC

  • Orthorectification of WorldView-2 satellite imagery, of the Cape Poinsett area, Budd Coast, Antarctica, captured 2 November 2013

    https://cmr.earthdata.nasa.gov/search/concepts/C1214313355-AU_AADC.xml
    Description:

    The Australian Antarctic Data Centre (AADC) has WorldView-2 satellite imagery, of the Cape Poinsett area, Budd Coast, Antarctica, captured 2 November 2013. The panchromatic and multispectral bands were orthorectified using the RPC data files. The orthorectified image files are called WV_2Nov2013_pan_orc and WV_2Nov2013_ms_orc. These two images were then pansharpened using Gram-Schmidt spectral sharpening, the resulting image is called WV_2Nov2013_ps_orc. The processing was done by Angela Bender of the AADC using IDL/ENVI version 4.8. WorldView-2 geometric accuracy specification is 6.5 m CE90, with predicted performance in the range of 4.6 to 10.7 m (15 to 35 feet) CE90. Given that there were no accurate ground control points or digital elevation models available within the image area it was decided that the orthorectification be carried out using the fast mode orthorectification process which derives a model from the RPC co-efficients. Rational polynomial coefficients (RPCs) model the ground-to-image relationship as a third-order, rational, ground-to-image polynomial. The RPC orthorectification process works on a pixel-by-pixel basis to provide correct ground locations, so it can take a significant amount of processing time. An alternative method to the standard RPC orthorectification is a "fast mode" orthorectification. This method works by sacrificing accuracy for speed, since processing time is much faster but the results are slightly less accurate. Instead of solving the RPC equation for each pixel, the fast mode orthorectification solves for a grid of points spaced throughout the image and triangulates a warp between the points. This approach assumes that the geometric accuracy of the WorldView-2 image based on its RPC and attitude information is more accurate than a polynomial correction based on inaccurate ground control points. In this orthorectification approach the image is assumed to be in the correct location (at sea level) and topographic relief distortions are not removed.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -65.866 112.974 -65.765 113.255

    AU_AADC Short Name: cape_poinsett_worldview_2nov2013 Version ID: 1 Unique ID: C1214313355-AU_AADC

  • Orthorectification of WorldView-2 satellite imagery, of the Larsemann Hills, Antarctica, captured 18 January 2011

    https://cmr.earthdata.nasa.gov/search/concepts/C1214313591-AU_AADC.xml
    Description:

    The Australian Antarctic Data Centre (AADC) has WorldView-2 satellite imagery, of the Larsemann Hills, Antarctica, captured 18 January 2011. The panchromatic image was orthorectified using ground control points and the RPC coefficients. Rational Polynomial Coefficients (RPCs) model the ground-to-image relationship as a third-order, rational, ground-to-image polynomial. The orthorectified image file is called WV2_18Jan2011_p_orc. The orthorectification was initially done using 35 ground control points from the Australian Antarctic Data Centre's Survey Control Database. The total RMS error was very high so a subset of 25 of these ground control points was selected based on their attributes and terrestrial images as well as accurate visual selection of corresponding image pixels. The final orthorectification was done using this subset of 25 ground control points. The multispectral image was not orthorectified because the origin (top left) coordinates are different to those of the panchromatic image. The ground control points would need to be re-identified in the multispectral image and the time was not available to do this. The processing was done by Angela Bender of the AADC using IDL/ENVI version 4.8.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -69.4886 75.9711 -69.3233 76.4114

    AU_AADC Short Name: larsemann_worldview_18jan2011 Version ID: 1 Unique ID: C1214313591-AU_AADC

  • Remote Sensing Derived Topsoil and Agricultural Economic Losses, Midwestern USA

    https://cmr.earthdata.nasa.gov/search/concepts/C2216864353-ORNL_CLOUD.xml
    Description:

    This dataset provides estimates of topsoil loss and economic loss associated with decreased crop productivity resulting from topsoil loss at county- and state-levels across the Corn Belt region of the Midwestern USA. Intermediate products used to derive topsoil loss are provided and include 4 m gridded estimates of study sites elevation, curvature, slope, soil organic carbon index (SOCI), and the probability of exposed B-horizon soil. Topsoil loss at the county- and state-levels was derived from analyses of agricultural land at selected sites across the study area. From WorldView imagery, 759 fields were identified that had exposed bare soil (210 km2) and were grouped into 28 sites. Gridded estimates of the SOCI and of the probability of exposed B-horizon soil were determined for each field within the sites. Topography measures, including elevation (m), curvature (m-1), and slope (deg), were extracted over the entire study area from LiDAR-derived digital elevation models at a 4 m resolution acquired from 2003-2018. Within each of the 28 study sites, the SOCI and topographic curvature values were extracted from co-located pixels. Topsoil loss was estimated from the relationship between subsoil exposure and topography and averaged across each site.The relationship between topsoil loss and topographic curvature was used to up-scale and predict topsoil and economic losses at the county and state-levels across the entire 375,000 km2 study area. The data have been used to demonstrate a robust and scalable method for estimating the magnitude of erosion in agricultural landscapes.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 40.0397 -97.3245 46.0461 -86.986

    ORNL_CLOUD Short Name: TopSoil_Erosion_MidWest_US_1774 Version ID: 1 Unique ID: C2216864353-ORNL_CLOUD

  • Seals from Space: Developing techniques to use satellite remote sensing to census pack-ice seals in the Prydz Bay region of East Antarctica

    https://cmr.earthdata.nasa.gov/search/concepts/C1367275203-AU_AADC.xml
    Description:

    Despite being a ubiquitous and abundant component of the Southern Ocean ecosystem, pack-ice seals (crabeater, Ross and leopard seals) are notoriously difficult to census as they are sparsely distributed over large regions of remote pack-ice. Historically, population censuses have been made from ship- or helicopter-based surveys, which are expensive and logistically difficult, and this inevitably leads to data which are limited, in time and space. High resolution images allow us now to accurately census seals e.g. elephant and Weddell seals at unprecedented spatial and temporal scales. Using this technology promises to provide regular estimates of the numbers of pack-ice seals in important regions such as Prydz Bay This study will develop techniques to survey pack-ice seals from high resolution satellite images, including automatic detection functions and a preliminary habitat model based on the characteristics of the ice contained in the images.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -69.70513 67.76367 -65.10984 81.65039

    AU_AADC Short Name: AAS_4328_satellite_seals Version ID: 1 Unique ID: C1367275203-AU_AADC

  • SnowEx Colorado 3M Snow Depth Time Series and DEMs from High-Resolution Satellite Image Pairs V001

    https://cmr.earthdata.nasa.gov/search/concepts/C3273594512-NSIDC_CPRD.xml
    Description:

    This data set contains a time series of snow depth maps and related intermediary snow-on and snow-off DEMs for Grand Mesa and the Banded Peak Ranch areas of Colorado derived from very-high-resolution (VHR) satellite stereo images and lidar point cloud data. Two of the snow depth maps coincide temporally with the 2017 NASA SnowEx Grand Mesa field campaign, providing a comparison between the satellite derived snow depth and in-situ snow depth measurements. The VHR stereo images were acquired each year between 2016 and 2022 during the approximate timing of peak snow depth by the Maxar WorldView-2, WorldView-3, and CNES/Airbus Pléiades-HR 1A and 1B satellites, while lidar data was sourced from the USGS 3D Elevation Program.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 36.946006 -106.869547 37.350142 -106.336567

    NSIDC_CPRD Short Name: SNEX_HRSI_SD_DEM_CO Version ID: 1 Unique ID: C3273594512-NSIDC_CPRD

  • WorldView ESA archive

    https://cmr.earthdata.nasa.gov/search/concepts/C2119689694-ESA.xml
    Description:

    The WorldView ESA archive is composed of products acquired by WorldView-1, -2, -3 and -4 satellites and requested by ESA supported projects over their areas of interest around the world Panchromatic, 4-Bands, 8-Bands and SWIR products are part of the offer, with the resolution at Nadir depicted in the table. Band Combination Mission GSD Resolution at Nadir GSD Resolution (20° off nadir) Panchromatic WV-1 50 cm 55 cm WV-2 46 cm 52 cm WV-3 31 cm 34 cm WV-4 31 cm 34 cm 4-Bands WV-2 1.84 m 2.4 m WV-3 1.24 m 1.38 m WV-4 1.24 m 1.38 m 8-Bands WV-2 1.84 m 2.4 m WV-3 1.24 m 1.38 m SWIR WV-3 3.70 m 4.10 m The 4-Bands includes various options such as Multispectral (separate channel for Blue, Green, Red, NIR1), Pan-sharpened (Blue, Green, Red, NIR1), Bundle (separate bands for PAN, Blue, Green, Red, NIR1), Natural Colour (pan-sharpened Blue, Green, Red), Coloured Infrared (pan-sharpened Green, Red, NIR). The 8-Bands being an option from Multispectral (COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2) and Bundle (PAN, COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2). The processing levels are: Standard (2A): normalised for topographic relief View Ready Standard: ready for orthorectification (RPB files embedded) View Ready Stereo: collected in-track for stereo viewing and manipulation (not available for SWIR) Map Scale (Ortho) 1:12,000 Orthorectified: additional processing unnecessary Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/WorldView/ available on the Third Party Missions Dissemination Service. The following table summarises the offered product types EO-SIP Product Type Band Combination Processing Level Missions WV6_PAN_2A Panchromatic (PAN) Standard/View Ready Standard WorldView-1 and 4 WV6_PAN_OR Panchromatic (PAN) View Ready Stereo WorldView-1 and 4 WV6_PAN_MP Panchromatic (PAN) Map Scale Ortho WorldView-1 and 4 WV1_PAN__2A Panchromatic (PAN) Standard/View Ready Standard WorldView-2 and 3 WV1_PAN__OR Panchromatic (PAN) View Ready Stereo WorldView-2 and 3 WV1_PAN__MP Panchromatic (PAN) Map Scale Ortho WorldView-2 and 3 WV1_4B__2A 4-Band (4B) Standard/View Ready Standard WorldView-2, 3 and 4 WV1_4B__OR 4-Band (4B) View Ready Stereo WorldView-2, 3 and 4 WV1_4B__MP 4-Band (4B) Map Scale Ortho WorldView-2, 3 and 4 WV1_8B_2A 8-Band (8B) Standard/View Ready Standard WorldView-2 and 3 WV1_8B_OR 8-Band (8B) View Ready Stereo WorldView-2 and 3 WV1_8B_MP 8-Band (8B) Map Scale Ortho WorldView-2 and 3 WV1_S8B__2A SWIR Standard/View Ready Standard WorldView-3 WV1_S8B__MP SWIR Map Scale Ortho WorldView-3 As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    ESA Short Name: WorldView.ESA.archive Version ID: 12.0 Unique ID: C2119689694-ESA

  • WorldView-2 European Cities

    https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.xml
    Description:

    ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -26 -19 66 35

    ESA Short Name: WorldView-2.European.Cities Version ID: 12.0 Unique ID: C1965336961-ESA