CDDIS_SLR_predictions

Metadata Updated: March 23, 2019

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date August 1, 2018
Metadata Updated Date March 23, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date March 23, 2019
Publisher CDDIS
Unique Identifier C1000000025-CDDIS
Maintainer
Carey Noll
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Archived by National Aeronautics and Space Administration, U.S. Government, CDDIS.
Datagov Dedupe Retained 20190322235447
Harvest Object Id e47de135-893d-41d1-b7cb-82e4f209e3cf
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 1998-01-01
Homepage URL https://cmr.earthdata.nasa.gov:443/search/concepts/C1000000025-CDDIS.html
Language en-US
Metadata Type geospatial
Data Last Modified 2012-06-14
Program Code 026:001
Source Datajson Identifier True
Source Hash 8dddfa83969b20a46833f41c41dd9e6d06193122
Source Schema Version 1.1
Spatial -180.0 -90.0 180.0 90.0
Temporal 1998-01-01T00:00:00Z/2019-02-25T00:00:00Z
Category ILRS, geospatial

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