---
contact_point:
  email: wsf@dlr.de
  name: WSF team
  url: https://geoservice.dlr.de/web/datasets/wsf_2019
creator:
  name: Mattia Marconcini
dataset_id: WSF_19
description: "The World Settlement Footprint (WSF\xAE) 2019 is a 10m resolution binary\
  \ mask outlining the extent of human settlements globally derived by means of 2019\
  \ multitemporal Sentinel-1 (S1) and Sentinel-2 (S2) imagery."
details: "Based on the hypothesis that settlements generally show a more stable behavior\
  \ with respect to most land-cover classes, temporal statistics are calculated for\
  \ both S1- and S2-based indices. In particular, a comprehensive analysis has been\
  \ performed by exploiting a number of reference building outlines to identify the\
  \ most suitable set of temporal features (ultimately including 6 from S1 and 25\
  \ from S2). Training points for the settlement and non-settlement class are then\
  \ generated by thresholding specific features, which varies depending on the 30\
  \ climate types of the well-established K\xF6ppen Geiger scheme. Next, binary classification\
  \ based on Random Forest is applied and, finally, a dedicated post-processing is\
  \ performed where ancillary datasets are employed to further reduce omission and\
  \ commission errors. Here, the whole classification process has been entirely carried\
  \ out within the Google Earth Engine platform. To assess the high accuracy and reliability\
  \ of the WSF2019, two independent crowd-sourcing-based validation exercises have\
  \ been carried out with the support of Google and Mapswipe, respectively, where\
  \ overall 1M reference labels have been collected based photointerpretation of very\
  \ high-resolution optical imagery."
exposure:
  category: buildings
  dimension: structure
  quantity_kind: area
  taxonomy: null
hazard: null
license: CC-BY-4.0
loss: null
project: "World Settlement Footprint (WSF\xAE)"
publisher:
  name: DLR
  url: https://geoservice.dlr.de/
purpose: null
resources:
- coordinate_system: EPSG:4326
  description: 'Binary mask at 10m resolution outlining the extent of human settlements
    globally derived by means of 2019 multitemporal Sentinel-1 (S1) and Sentinel-2
    (S2) imagery. '
  download_url: https://download.geoservice.dlr.de/WSF2019/
  format: geotiff
  id: '0'
  spatial_resolution: 10
  title: World Settlement Footprint (WSF) 2019
risk_data_type:
- exposure
schema: rdl-02
spatial:
  countries:
  - GLO
  scale: global
title: World Settlement Footprint 2019
version: R2019
vulnerability: null
---