Updated datasets 2024-06-01 UTC

datasets/noaa-ufs-gdas-pds.yaml

@@ -0,0 +1,39 @@
+Name: NOAA Global Data Assimilation System (DA) Test Data
+Description: |
+  The "[Unified Forecast System (UFS)](https://ufs.epic.noaa.gov/)" is a community-based, coupled, comprehensive Earth Modeling System. It supports "[multiple applications](https://ufs.epic.noaa.gov/applications/)" with different forecast durations and spatial domains. The "[Global Data Assimilation System (GDAS)(https://github.com/NOAA-EMC/GDASApp)" Application (App) is being used as the basis for uniting the "[Global Workflow](http://NOAA-EMC/global-workflow)" and Global Forecast System (GFS) model with "[Joint Effort for Data assimilation Integration (JEDI)](https://jointcenterforsatellitedataassimilation-jedi-docs.readthedocs-hosted.com/en/latest/)" capabilities.
+  <br/>
+  <br/>
+  The National Centers for Environmental Prediction (NCEP) use GDAS to interpolate data from various observing systems and instruments onto a three-dimensional grid. GDAS obtains its data through several observation types: surface, balloon, wind profilers, aircraft reports, buoys, radar, and satellite. This gridded output data is then used to initialize the GFS model. GDAS can be used in standalone mode to run forward operators and variational data assimilation (DA) for evaluation/development purposes. In the GDAS App, it supports GFS/GDAS cycled forecasts in the Global Workflow. Currently, GDAS primarily uses GSI for its data assimilation and cycling, but efforts are underway to replace GSI with JEDI. 
+Documentation: https://github.com/NOAA-EMC/GDASApp/wiki
+Contact: For questions regarding data content or quality, post on the ufs-community forum at https://github.com/orgs/ufs-community/discussions or email [email protected]. 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].
+  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing [email protected]
+ManagedBy: "[NOAA](http://www.noaa.gov/)"
+UpdateFrequency: These are stable datasets for use with global DA projects. They will be updated as new sample cases are added. 
+Collabs:
+  ASDI:
+    Tags:
+      - weather
+Tags:
+  - aws-pds
+  - agriculture
+  - climate
+  - disaster response
+  - environmental
+  - meteorological
+  - weather
+License: "GNU Lesser Public License v2.1: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html#SEC1"
+Resources:
+  - Description: Global Data Assimilation (DA) System Test Data
+    ARN: arn:aws:s3:::noaa-ufs-gdas-pds
+    Region: us-east-1
+    Type: S3 Bucket
+    Explore:
+    - '[Browse Bucket](https://noaa-ufs-gdas-pds.s3.amazonaws.com/index.html)'
+  - Description: New data notifications for Global Data Assimilation (DA) System Test Data, only Lambda and SQS protocols allowed
+    ARN: arn:aws:sns:us-east-1:709902155096:NewNWSUFSGDASObject
+    Region: us-east-1
+    Type: SNS Topic
+DataAtWork:
+  Tutorials:
+  Tools & Applications:
+  Publications:

datasets/pgc-arcticdem.yaml

@@ -1,8 +1,8 @@
 Name: ArcticDEM
-Description:  ArcticDEM - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2007 to the present. The ArticDEM project seeks to fill the need for high-resolution time-series elevation data in the Arctic. The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over large areas. ArcticDEM data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites.
+Description:  ArcticDEM - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2007 to the present. The ArcticDEM project seeks to fill the need for high-resolution time-series elevation data in the Arctic. The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over large areas. ArcticDEM data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites.
 Documentation: https://www.pgc.umn.edu/data/arcticdem/
 Contact: [email protected]
-ManagedBy: "[Polar Geospatial Center](http://www.pgc.umn.edu/)"
+ManagedBy: "[Polar Geospatial Center](https://www.pgc.umn.edu/)"
 UpdateFrequency: New DEM strips are added twice yearly.  Mosaic products are added as soon as they are available.
 Collabs:
   ASDI:

datasets/pgc-earthdem.yaml

@@ -0,0 +1,47 @@
+Name: EarthDEM
+Description:  EarthDEM - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2002 to the present. The EarthDEM project seeks to fill the need for high-resolution time-series elevation data in non-polar regions. The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over large areas. EarthDEM data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites. Only a portion of the worldwide EarthDEM dataset is available publicly. Federally-funded researchers may access the entire dataset via NASA CSDA's Smallsat Data Explorer (see Data at Work section).
+Documentation: https://www.pgc.umn.edu/data/earthdem/
+Contact: [email protected]
+ManagedBy: "[Polar Geospatial Center](https://www.pgc.umn.edu/)"
+UpdateFrequency: New DEM strips are added when allowed by licensing restrictions.  Mosaic products are added as soon as they are available.
+Collabs:
+  ASDI:
+    Tags:
+      - satellite imagery
+Tags:
+  - aws-pds
+  - elevation
+  - earth observation
+  - geospatial
+  - mapping
+  - open source software
+  - satellite imagery
+  - cog
+  - stac
+License: "[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)"
+Citation: "See PGC's [acknowledgement policy](https://www.pgc.umn.edu/guides/user-services/acknowledgement-policy/)"
+Resources:
+  - Description: EarthDEM DEM Strips
+    ARN: arn:aws:s3:::pgc-opendata-dems/earthdem/strips/
+    Region: us-west-2
+    Type: S3 Bucket
+    Explore:
+      - '[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/earthdem/strips.json)'
+DataAtWork:
+  Tools & Applications:
+    - Title: GLARS Data Viewer
+      URL: https://glars.org/data/view-and-download/
+      AuthorName: Great Lakes Alliance for Remote Sensing
+    - Title: NASA CSDA SmallSat Data Explorer
+      URL: https://csdap.earthdata.nasa.gov/
+      AuthorName: NASA Commercial Smallsat Acquisition Program
+  Publications:
+    - Title: "Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin"
+      URL: https://doi.org/10.3390/rs13040599
+      AuthorName: Michael J. Battaglia, Sarah Banks, Amir Behnamian, Laura Bourgeau-Chavez, Brian Brisco, Jennifer Corcoran, Zhaohua Chen, Brian Huberty, James Klassen, Joseph Knight, Paul Morin, Kevin Murnaghan, Keith Pelletier, Lori White
+    - Title: "The surface extraction from TIN based search-space minimization (SETSM) algorithm"
+      URL: https://doi.org/10.1016/j.isprsjprs.2017.04.019
+      AuthorName: Myoung-Jong Noh, Ian M. Howat
+    - Title: "Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions"
+      URL: https://doi.org/10.1080/15481603.2015.1008621
+      AuthorName: Myoung-Jong Noh, Ian M. Howat

datasets/pgc-rema.yaml

@@ -2,7 +2,7 @@ Name: Reference Elevation Model of Antarctica (REMA)
 Description:  The Reference Elevation Model of Antarctica - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2009 to the present. The REMA project seeks to fill the need for high-resolution time-series elevation data in the Antarctic. The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over large areas. REMA data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites.
 Documentation: https://www.pgc.umn.edu/data/rema/
 Contact: [email protected]
-ManagedBy: "[Polar Geospatial Center](http://www.pgc.umn.edu/)"
+ManagedBy: "[Polar Geospatial Center](https://www.pgc.umn.edu/)"
 UpdateFrequency: New DEM strips are added twice yearly.  Mosaic products are added as soon as they are available.
 Collabs:
   ASDI: