Name: High Resolution Population Density Maps + Demographic Estimates by CIESIN and Meta Description: | Population data for a selection of countries, allocated to 1 arcsecond blocks and provided in a combination of CSV and Cloud-optimized GeoTIFF files. This refines [CIESIN’s Gridded Population of the World](https://sedac.ciesin.columbia.edu/data/collection/gpw-v4) using machine learning models on high-resolution worldwide Maxar satellite imagery. CIESIN population counts aggregated from worldwide census data are allocated to blocks where imagery appears to contain buildings. Documentation: "[Project overview](https://dataforgood.facebook.com/dfg/docs/methodology-high-resolution-population-density-maps) and [instructions for use with AWS Athena](https://dataforgood.facebook.com/dfg/docs/using-hrsl-public-dataset-with-athena)" Contact: disastermaps@fb.com ManagedBy: "[Meta](https://dataforgood.fb.com/)" UpdateFrequency: Quarterly Collabs: ASDI: Tags: - disaster response Tags: - population - demographics - machine learning - aerial imagery - satellite imagery - image processing - geospatial - disaster response - aws-pds License: | https://creativecommons.org/licenses/by/4.0/ Citation: Meta and Center for International Earth Science Information Network - CIESIN - Columbia University. 2022. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 [Maxar](https://www.maxar.com/products/imagery-basemaps). Accessed DAY MONTH YEAR. Resources: - Description: Cloud-optimized GeoTIFF files ARN: arn:aws:s3:::dataforgood-fb-data/hrsl-cogs/ Region: us-east-1 Type: S3 Bucket - Description: CSV files ARN: arn:aws:s3:::dataforgood-fb-data/csv/ Region: us-east-1 Type: S3 Bucket DataAtWork: Tutorials: - Title: Investigating environmental characteristics of US cities using publicly available ASDI datasets URL: https://github.com/aws-samples/aws-asdi-cities-smsl-notebook NotebookURL: https://github.com/aws-samples/aws-asdi-cities-smsl-notebook/blob/main/ASDI_Cities_Demo.ipynb AuthorName: Darren Ko Services: - Amazon SageMaker Studio Lab