Agent Mode
English
    Listing Thumbnail

    NASA 2010_GR_NASA Project

     Info
    Sold by: NASA 
    Open data
    |
    Deployed on AWS
    This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery with the Open Source Sea-ice Processing Algorithm. The images are provided as TIFF files (.tif). Additional metadata are provided as CSV text files (.csv), which are available as a single zip file named RDSISC4_metadata.zip. An orthorectified version of this data set is available as IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Orthorectified Images. <br> #### RDSISCO4 This data set contains reprocessed, orthorectified images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery (IODMS0) with the Open Source Sea-ice Processing Algorithm. Orthorectification was done using digital elevation models from the IceBridge DMS L3 Ames Stereo Pipeline Photogrammetric DEM (IODEM3) collection. The standard (non-orthorectified) images are available as IceBridge[...]

    Overview

    This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery with the Open Source Sea-ice Processing Algorithm. The images are provided as TIFF files (.tif). Additional metadata are provided as CSV text files (.csv), which are available as a single zip file named RDSISC4_metadata.zip. An orthorectified version of this data set is available as IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Orthorectified Images.

    RDSISCO4

    This data set contains reprocessed, orthorectified images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery (IODMS0) with the Open Source Sea-ice Processing Algorithm. Orthorectification was done using digital elevation models from the IceBridge DMS L3 Ames Stereo Pipeline Photogrammetric DEM (IODEM3) collection. The standard (non-orthorectified) images are available as IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Images (RDSISC4).

    Data Discovery

    Explore this data using NASA's Earthdata Search , a comprehensive tool for discovering and visualizing Earth science datasets.

    Data Access

    Access requires an Earthdata Login  account. Read our guide on obtaining AWS credentials  to retrieve this data from AWS.

    Features and programs

    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
    Learn more

    Pricing

    This is a publicly available data set. No subscription is required.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Open data resources

    Available with or without an AWS account.

    How to use
    To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more 
    Description
    RDSISC4 v1 - This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery with the Open Source Sea-ice Processing Algorithm. The images are provided as TIFF files (.tif).
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/ICEBRIDGE-Related/RDSISC4/1
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://nsidc-cumulus-prod-protected/ICEBRIDGE-Related/RDSISC4/1/
    Description
    RDSISCO4 v1 - This data set contains reprocessed, orthorectified images depicting labels that indicate the sea ice surface category, created by processing IceBridge DMS L0 Raw Imagery (IODMS0) with the Open Source Sea-ice Processing Algorithm. Orthorectification was done using digital elevation models from the IceBridge DMS L3 Ames Stereo Pipeline Photogrammetric DEM (IODEM3) collection.
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nsidc-cumulus-prod-protected/ICEBRIDGE-Related/RDSISCO4/1
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://nsidc-cumulus-prod-protected/ICEBRIDGE-Related/RDSISCO4/1/

    Resources

    Vendor resources

    View this dataset on Github 

    Support

    Contact

    https://earthdata.nasa.gov/contact 

    Managed By

    NASA

    How to cite

    NASA 2010_GR_NASA Project was accessed on DATE from https://registry.opendata.aws/nasa-2010-gr-nasa .

    License

    Creative Commons BY 4.0 

    Similar products

    NASA SBG Project 
    By NASA part of the AWS Open Data Sponsorship Program 
    This report summarizes the community discussions at the 2024 NASA Surface Biology and Geology (SBG) Technical Interchange Meeting (TIM) from May 29 to 31, 2024, in Washington, D.C., US. The report provides the broader science community with information on the current state of the SBG mission, SBG-relevant science and applications, and future work needed. The SBG mission includes a visible to shortwave infrared (VSWIR) spectrometer and a thermal infrared (TIR) radiometer as outlined in the 2017-2027 National Academies' Decadal Survey. Over 150 in-person and 200 online community members from across research and applications areas gathered to learn about the current state of the mission, discuss needed science and applications developments, provide input on SBG- TIR and SBG- VSWIR acquisition decisions, and learn about how to access precursor data from Earth Surface Mineral Dust Source InvesTigation (EMIT), ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRES[...]
    View product 
    NASA sentinel-1 Project 
    By NASA part of the AWS Open Data Sponsorship Program 
    This data set contains annual surface melt onset and freeze onset dates across all glaciers in the Hindu Kush Himalayas (HKH) retrieved from time series synthetic aperture radar (SAR) imagery. The data set was based on analysis of C-band Sentinel-1 A/B SAR time series, comprising 32,741 Sentinel-1 A/B SAR images. The duration of annual glacier surface melt was determined for 105,432 mapped glaciers (83,102 km2 glacierized area) during the calendar years 2017-2020. NSIDC-0720 This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides annual maps of Antarctic ice velocity. 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) L[...]
    View product 
    NASA CWIC Project 
    By NASA part of the AWS Open Data Sponsorship Program 
    The The MODIS Near Real Time (NRT) product, MOD09Q1N provides Band 1 and 2 data at 250 meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. Each MOD09Q1N pixel contains the best possible L2G observation during an 8-day period as selected on the basis of high observation coverage low view angle the absence of clouds or cloud shadow and aerosol loading. Science Data Sets provided for this product include reflectance values for Bands 1 and 2 and a quality rating. SCAMSN6IM The SCAMSN6IM data product consists of images of brightness temperatures, water vapor and temperature on 70 mm film strips from the Nimbus-6 Scanning Microwave Spectrometer. Each display contains eight vertical strips of data from one orbit. All strips have the same geographic coverage, but each represents a different parameter. The first three are brightness temperatures for channels 2 (31.65 GHz) and 3 (52.85 GHz) and their differences. The next two represent [...]
    View product 
    NASA OTTER Project 
    By NASA part of the AWS Open Data Sponsorship Program 
    An inventory of NASA's airborne and field campaigns for Earth Science chem_26 Canopy characteristics: leaf chemistry, specific leaf area, LAI, PAR, IPAR, NPP, and standing biomass. model_36 Steve Running's Forest-BGC Model lai_45 LAI estimates computed from unweighted openness by the canopy program from digitized canopy photographs. spectra_licor_47 The variability of bi-directional spectral reflectance of cut conifer foilage between age classes, species and sites measured by LICOR. spectra_perkin_48 Absolute reflectance of leaves measured in the lab by Perkin-Elmer spectrophotometer to aid in understanding remotely sensed spectral data. meteo_50 Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data. airsunp_61 Airborne sun photometer data collected from 1990 through 1991 used to provide quantitative atmospheric correction to remote[...]
    View product