Updated datasets 2024-05-24 UTC

datasets/cmas-data-warehouse.yaml

@@ -72,6 +72,12 @@ Resources:
     Type: S3 Bucket
     Explore: 
     - '[Browse Bucket](https://2019platform.s3.amazonaws.com/index.html)'
+  - Description: 2018v2 Modeling Platform
+    ARN: arn:aws:s3:::2018v2platform
+    Region: us-east-1
+    Type: S3 Bucket
+    Explore:
+    - '[Browse Bucket](https://2018v2platform.s3.amazonaws.com/index.html)'
   - Description: 2016v3 Modeling Platform
     ARN: arn:aws:s3:::2016v3platform
     Region: us-east-1

datasets/dataforgood-fb-forests.yaml

@@ -1,7 +1,7 @@
 Name: High Resolution Canopy Height Maps by WRI and Meta
 Description: |
-  Canopy Height maps for a selection of regions. Created using machine learning models on high-resolution worldwide Maxar satellite imagery. 
-Documentation: "[Project overview](https://dataforgood.facebook.com/dfg/docs)"
+  Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery. 
+Documentation: https://github.com/facebookresearch/HighResCanopyHeight
 Contact: [email protected]
 ManagedBy: "[Meta](https://dataforgood.fb.com/)"
 UpdateFrequency: TBD
@@ -20,22 +20,44 @@ Tags:
 License: |
   https://creativecommons.org/licenses/by/4.0/
 Citation:
-  Meta and World Resources Institude (WRI) - 2023. High Resolution
+  Meta and World Resources Institude (WRI) - 2024. High Resolution
   Canopy Height Maps (CHM). Source imagery for CHM © 2016 [Maxar](https://www.maxar.com/products/imagery-basemaps).
   Accessed DAY MONTH YEAR.
 Resources:
-  - Description: Cloud-optimized GeoTIFF files and Geojson files with observation date
-    ARN: arn:aws:s3:::dataforgood-fb-data/forests/v1/
+  - Description: Global Canopy Height maps. GeoTIFF files and Geojson files with observation date
+    ARN: arn:aws:s3:::dataforgood-fb-data/forests/v1/alsgedi_global_v6_float/
     Region: us-east-1
-    Type: S3 Bucket
+    Type: S3 Bucket  
+  - Description: California Canopy Height maps. GeoTIFF files and Geojson files with observation date
+    ARN: arn:aws:s3:::dataforgood-fb-data/forests/v1/California/
+    Region: us-east-1
+    Type: S3 Bucket  
+  - Description: Sao Paulo Canopy Height maps. GeoTIFF files and Geojson files with observation date
+    ARN: arn:aws:s3:::dataforgood-fb-data/forests/v1/sao_paulo/
+    Region: us-east-1
+    Type: S3 Bucket 
+  - Description: Sub Saharan Africa Height maps. GeoTIFF files and Geojson files with observation date
+    ARN: arn:aws:s3:::dataforgood-fb-data/forests/v1/subsaharan_africa/
+    Region: us-east-1
+    Type: S3 Bucket 
+  - Description: Model weights
+    ARN: arn:aws:s3:::dataforgood-fb-data/forests/v1/models/
+    Region: us-east-1
+    Type: S3 Bucket   
 DataAtWork:
   Tutorials:
   Tools & Applications:
+    - Title: Global Canopy Height on Earth Engine
+      URL: https://meta-forest-monitoring-okw37.projects.earthengine.app/view/canopyheight
+      AuthorName: Meta and WRI
   Publications:
+    - Title: "Using Artificial Intelligence to Map the Earth’s Forests"
+      URL: https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/
+      AuthorName: Jamie Tolan, Camille Couprie, John Brandt, Justine Spore, Tobias Tiecke, Tracy Johns and Patrick Nease
     - Title: "Every tree counts: Large-scale mapping of canopy height at the resolution of individual trees"
       URL: https://research.facebook.com/blog/2023/4/every-tree-counts-large-scale-mapping-of-canopy-height-at-the-resolution-of-individual-trees/
       AuthorName: Jamie Tolan, Camille Couprie, and Tracy Johns
     - Title: Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar
-      URL: https://doi.org/10.48550/arXiv.2304.07213
+      URL: https://www.sciencedirect.com/science/article/pii/S003442572300439X
       AuthorName: Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
 

datasets/noaa-eri.yaml

@@ -34,3 +34,9 @@ DataAtWork:
     - Title: Using Emergency and Pre-Event Imagery
       URL: https://github.com/NOAA-Big-Data-Program/bdp-data-docs/blob/main/NGS/NOAA_ER_Pre_Event_Data.pdf
       AuthorName: Jon Sellars
+    - Title: ERI notebook using SageMaker Studio Lab (SMSL)
+      URL: https://gitlab.cicsnc.org/workshop-development/eri_notebook
+      NotebookURL: https://gitlab.cicsnc.org/workshop-development/eri_notebook/-/blob/main/ERI_aws.ipynb
+      AuthorName: Mya Sears
+      Services:
+      - SageMaker Studio Lab

datasets/troxel2024.yaml

@@ -0,0 +1,38 @@
+Name: 'OpenUniverse Matched Rubin and Roman Simulations: Data Preview (Troxel et al. 2024)'
+Description: 'This release consists of simulated data products designed to mimic observations of the same region of the sky as seen by two astronomical facilities: the Nancy Grace Roman Telescope and the Vera C. Rubin Observatory.'
+Documentation: https://irsa.ipac.caltech.edu/data/theory/Troxel2024/
+Contact: https://irsa.ipac.caltech.edu/docs/help_desk.html
+ManagedBy: "NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Caltech"
+UpdateFrequency: The Troxel 2024 dataset has been finalized and will not be updated.
+Tags:
+  - aws-pds
+  - astronomy
+  - imaging
+  - object detection
+  - parquet
+  - satellite imagery
+  - simulations
+  - survey
+License: https://irsa.ipac.caltech.edu/data_use_terms.html
+Citation: "If you use the Troxel 2024 dataset, please follow the [IRSA acknowledgement guidelines](https://irsa.ipac.caltech.edu/ack.html)."
+Resources:
+  - Description: 'The simulated Roman data products include truth files listing the basic physical properties of the simulated astronomical objects; truth images that include the appropriate bandpass and PSF but limited sources of noise; calibrated images that include relevant backgrounds and major sources of noise; and coadded images created using the IMCOM software.'
+    ARN: arn:aws:s3:::nasa-irsa-simulations/troxel2024/roman/
+    Region: us-east-1
+    Type: S3 Bucket
+    RequesterPays: False
+    AccountRequired: False
+  - Description: 'The simulated Rubin data products include raw pixel data, calibrated exposures, coadds of the calibrated exposures, and catalogs of photometry measured from the simulated images.'
+    ARN: arn:aws:s3:::nasa-irsa-simulations/troxel2024/rubin/
+    Region: us-east-1
+    Type: S3 Bucket
+    RequesterPays: False
+    AccountRequired: False
+DataAtWork:
+  Tutorials:
+    - Title: Notebook Tutorials
+      URL: https://irsa.ipac.caltech.edu/docs/notebooks/
+      AuthorName: Caltech/IPAC-IRSA
+      AuthorURL: https://irsa.ipac.caltech.edu
+ADXCategories:
+  - Public Sector Data