World Settlement Footprint (WSF) 2019 - Sentinel-1/2 - Global

The World Settlement Footprint (WSF) 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. 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 Köppen 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.

Citation proposal
Mattia Marconcini (German Aerospace Center (DLR)). World Settlement Footprint (WSF) 2019 - Sentinel-1/2 - Global. https://gdk.gdi-de.org/geonetwork/srv/api/records/cbc6cb05-1245-41f9-a866-051119441187

Simple

Date ( Creation ): 2021-11-01T00:00:00

Edition

Identifier: https://geoservice.dlr.de/catalogue/srv/metadata/cbc6cb05-1245-41f9-a866-051119441187

Presentation form: Digital map

Other citation details: DOI: 10.15489/twg5xsnquw84

Purpose: The main objective of the World Settlement Footprint project is to depict the globals settlement extent.

Status: Completed

Point of contact

German Aerospace Center (DLR) - ( )

Author

German Aerospace Center (DLR) - Mattia Marconcini

Point of contact

DLR/EOC Land Surface Dynamics - WSF Team

Point of contact

German Aerospace Center (DLR) - EOC Geoservice

Maintenance and update frequency: As needed

Keywords

opendata
global
urbanization
land
global settlement extent
Sentinel-1
Sentinel-2
inspireidentifiziert

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover

Use limitation: Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.

Access constraints: Other restrictions

Use constraints: Other restrictions

Other constraints: Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / terms of use: https://creativecommons.org/licenses/by/4.0/

Other constraints

{"id": "cc-by/4.0",

"name": "Creative Commons Namensnennung – 4.0 International (CC BY 4.0)",

"url": "http://dcat-ap.de/def/licenses/cc-by/4.0",

"quelle": "Copyright DLR (2021)"}

Spatial representation type: Grid

Denominator: 20000

Metadata language: English

Character set: UTF8

Topic category

Imagery base maps earth cover

Supplemental Information

Number of dimensions: 2

Dimension name: Column

Dimension size: 4007726

Resolution: 10 m

Dimension name: Row

Dimension size: 1536433

Resolution: 10 m

Cell geometry: Area

Transformation parameter availability: false

Distribution format

GeoTIFF ()

OnLine resource: EOC Geoservice Dataset
EOC Geoservice Dataset

OnLine resource: WSF_2019
World Settlement Footprint 2019

OnLine resource: https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities

OnLine resource: EOC Geoservice Map Context
EOC Geoservice Map Context

OnLine resource: EOC Download Service
EOC Download Service

OnLine resource: EOC STAC Collection
EOC STAC Collection

OnLine resource: World Settlement Footprint - DLR News
World Settlement Footprint - DLR News

Hierarchy level: Dataset

Domain consistency

Measure identification: INSPIRE / Conformity_001

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See the referenced specification

Pass: true

Statement: The WSF2019 has been generated by means of an advanced classification system which jointly exploits open-and-free optical and radar satellite imagery acquired for the year 2019. In particular, ~286K Sentinel-1 and ~2M Sentinel-2 scenes have been processed, respectively.

Description

World Settlement Footprint - WSF2019 Processing:

Processing:

First, suitable temporal features are generated out of radar Sentinel-1 and optical Sentinel-2 data. Next, training points for the settlement and non-settlement class are derived by thresholding a subset of these, which varies depending on the corresponding Köppen Geiger climate type. Binary Random Forest classification is then applied and a dedicated post-processing is finally performed where ancillary datasets are used to further reduce omission and commission errors.

Quality Assurance:

The WSF2019 has been validated against 1M ground-truth samples collected – with the support of Google and Mapswipe - by crowdsourcing photointerpretation of reference very high-resolution satellite imagery. To this purpose a statistically robust and transparent protocol has been defined following recommended state-of-the-art practices.