High Resolution Settlement Layer for Indonesia

The High Resolution Settlement Layer (HRSL) provides estimates of human population distribution at a resolution of 1 arc-second (approximately 30m) for the year 2015. The population estimates are based on recent census data and high-resolution (0.5m) satellite imagery from DigitalGlobe. The population grids provide detailed delineation of settlements in both urban and rural areas, which is useful for many research areas—from disaster response and humanitarian planning to the development of communications infrastructure. The settlement extent data were developed by the Connectivity Lab at Facebook using computer vision techniques to classify blocks of optical satellite data as settled (containing buildings) or not. CIESIN used proportional allocation to distribute population data from subnational census data to the settlement extents. The population data have been developed for 33 countries. Read more about the project here.

Data and Resources

Field Value
encoding utf8
harvest_url https://edclxvs58.cr.usgs.gov/dataset/f66e9b3c-718e-43a9-a512-48626cb5cd45
Groups
  • AmeriGEOSS
  • Global Provider
Tags
  • afrigeo
  • afrigeoss
  • amerigeo
  • amerigeoss
  • ckan
  • cp3
  • eurogeo
  • eurogeoss
  • geo
  • geoss
  • global
  • indonesia
  • population
  • satellite-data
  • un-hdx
  • united-nations
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer 5310a302-f7c4-4d04-ae07-c40c54d04d8f
maintainer_email jennifer.duong@redcross.org
metadata_created 2025-10-01T17:48:13.822376
metadata_modified 2025-10-01T17:48:13.822383
notes The High Resolution Settlement Layer (HRSL) provides estimates of human population distribution at a resolution of 1 arc-second (approximately 30m) for the year 2015. The population estimates are based on recent census data and high-resolution (0.5m) satellite imagery from DigitalGlobe. The population grids provide detailed delineation of settlements in both urban and rural areas, which is useful for many research areas—from disaster response and humanitarian planning to the development of communications infrastructure. The settlement extent data were developed by the Connectivity Lab at Facebook using computer vision techniques to classify blocks of optical satellite data as settled (containing buildings) or not. CIESIN used proportional allocation to distribute population data from subnational census data to the settlement extents. The population data have been developed for 33 countries. Read more about the project [here](https://code.fb.com/connectivity/open-population-datasets-and-open-challenges/).
num_resources 1
num_tags 16
title High Resolution Settlement Layer for Indonesia