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Name: NASA / USGS Lunar Orbiter Laser Altimeter Cloud Optimized Point Cloud | ||
Description: | | ||
The lunar orbiter laser altimeter (LOLA) has collected and released almost 7 billion individual laser altimeter returns from the lunar surface. This dataset includes individual altimetry returns scraped from the Planetary Data System (PDS) LOLA Reduced Data Record (RDR) Query Tool, V2.0. Data are organized in 15˚ x 15˚ (longitude/latitude) sections, compressed and encoded into the Cloud Optimized Point Cloud (COPC) file format, and collected into a Spatio-Temporal Asset Catalog (STAC) collection for query and analysis. The data are in latitude, longitude, and radius (X, Y, Z) format with the proper IAU 2015 30100 well-known text projection string. These data are in the -180 to 180, center longitude 0 domain. Users of this data set are encouraged to use the Point Data Abstract Library (PDAL) STAC driver to query at the collection level or the COPC driver to query individual COPC tiles within the dataset. Queries of these data using bounding boxes, buffered points, or other geometries should use the -180 to 180 longitude domain (converting from 0-360, clone 180 as needed). | ||
Documentation: https://stac.astrogeology.usgs.gov/docs/data/moon/lola/ | ||
Contact: https://answers.usgs.gov/ | ||
ManagedBy: "[NASA](https://www.nasa.gov)" | ||
UpdateFrequency: Intermittent as new LOLA RDR data are released and processing capabilities become available. | ||
Tags: | ||
- aws-pds | ||
- planetary | ||
- elevation | ||
- lidar | ||
- stac | ||
License: "[CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/)" | ||
Citation: https://doi.org/10.5066/P9V5JIWH | ||
Resources: | ||
- Description: Lunar Orbiter Laser Altimeter (LOLA) Reduced Data Record (RDR) point cloud in Cloud Optimized Point Cloud (COPC) format. | ||
ARN: arn:aws:s3:::astrogeo-ard/moon/lro/lola/ | ||
Region: us-west-2 | ||
Type: S3 Bucket | ||
Explore: | ||
- '[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/lunar_orbiter_laser_altimeter)' | ||
DataAtWork: | ||
Tutorials: | ||
- Title: "Discovering and Downloading Data via the Command Line" | ||
URL: https://stac.astrogeology.usgs.gov/docs/tutorials/cli/ | ||
AuthorName: J. Laura | ||
AuthorURL: https://astrogeology.usgs.gov | ||
- Title: "Discovering and Downloading Data with Python" | ||
URL: https://stac.astrogeology.usgs.gov/docs/tutorials/basicpython/ | ||
AuthorName: J. Laura | ||
AuthorURL: https://astrogeology.usgs.gov | ||
- Title: "Querying for Data in an ROI and Loading it into QGIS" | ||
URL: https://stac.astrogeology.usgs.gov/docs/examples/to_qgis/ | ||
AuthorName: J. Laura | ||
AuthorURL: https://astrogeology.usgs.gov | ||
Tools & Applications: | ||
- Title: PySTAC Client | ||
URL: https://github.com/stac-utils/pystac-client | ||
AuthorName: PySTAC-Client Contributors | ||
AuthorURL: https://github.com/stac-utils/pystac-client/graphs/contributors | ||
- Title: Point Data Abstraction Library (PDAL) | ||
URL: https://pdal.io/ | ||
AuthorName: PDAL Contributors | ||
AuthorURL: https://github.com/PDAL/PDAL |
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Name: NOAA Global Mosaic of Geostationary Satellite Imagery (GMGSI) | ||
Description: | | ||
NOAA/NESDIS Global Mosaic of Geostationary Satellite Imagery (GMGSI) visible (VIS), shortwave infrared (SIR), longwave infrared (LIR) imagery, and water vaport imagery (WV) are composited from data from several geostationary satellites orbiting the globe, including the GOES-East and GOES-West Satellites operated by U.S. NOAA/NESDIS, the Meteosat-11 and Meteosat-8 satellites from theMeteosat Second Generation (MSG) series of satellites operated by European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), and the Himawari-8 satellite operated by the Japan Meteorological Agency (JMA). GOES-East is positioned at 75 deg W longitude over the equator. GOES-West is located at 137.2 deg W longitude over the equator. Both satellites cover an area from the eastern Atlantic Ocean to the central Pacific Ocean region. The Meteosat-11 satellite is located at 0 deg E longitude to cover Europe and Africa regions. The Meteosat-8 satellite is located at 41.5 deg E longitude to cover the Indian Ocean region. The Himawari-8 satellite is located at 140.7 deg E longitude to cover the Asia-Oceania region. The visible imagery indicates cloud cover and ice and snow cover. The shortwave, or mid-infrared, indicates cloud cover and fog at night. The longwave, or thermal infrared, depicts cloud cover and land/sea temperature patterns. The water vapor imagery indicates the amount of water vapor contained in the mid to upper levels of the troposphere, with the darker grays indicating drier air and the brighter grays/whites indicating more saturated air. GMGSI composite images have an approximate 8 km (5 mile) horizontal resolution and are updated every hour. | ||
NOAA/NESDIS Global Mosaic of Geostationary Satellite Imagery (GMGSI) visible (VIS), shortwave infrared (SIR), longwave infrared (LIR) imagery, and water vapor imagery (WV) are composited from data from several geostationary satellites orbiting the globe, including the GOES-East and GOES-West Satellites operated by U.S. NOAA/NESDIS, the Meteosat-10 and Meteosat-9 satellites from theMeteosat Second Generation (MSG) series of satellites operated by European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), and the Himawari-9 satellite operated by the Japan Meteorological Agency (JMA). GOES-East is positioned at 75 deg W longitude over the equator. GOES-West is located at 137.2 deg W longitude over the equator. Both satellites cover an area from the eastern Atlantic Ocean to the central Pacific Ocean region. The Meteosat-10 satellite is located at 0 deg E longitude to cover Europe and Africa regions. The Meteosat-9 satellite is located at 45.5 deg E longitude to cover the Indian Ocean region. The Himawari-9 satellite is located at 140.7 deg E longitude to cover the Asia-Oceania region. The visible imagery indicates cloud cover and ice and snow cover. The shortwave, or mid-infrared, indicates cloud cover and fog at night. The longwave, or thermal infrared, depicts cloud cover and land/sea temperature patterns. The water vapor imagery indicates the amount of water vapor contained in the mid to upper levels of the troposphere, with the darker grays indicating drier air and the brighter grays/whites indicating more saturated air. GMGSI composite images have an approximate 8 km (5 mile) horizontal resolution and are updated every hour. | ||
Documentation: "[https://www.ospo.noaa.gov/Operations/GOES/index.html](https://www.ospo.noaa.gov/Operations/GOES/index.html); [https://www.ospo.noaa.gov/Products/imagery/index.html](https://www.ospo.noaa.gov/Products/imagery/index.html)" | ||
Contact: | | ||
For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at [email protected]. For general questions or feedback about the data, please submit inquiries through the NOAA Office of Coast Survey (OCS) ASSIST Tool at https://www.nauticalcharts.noaa.gov/customer-service/assist/. | ||
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