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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.

Simple

Date (Creation)
2021-11-01T00:00:00
Citation 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
Organisation name Individual name Electronic mail address Role

German Aerospace Center (DLR)

geoservice@dlr.de

Point of contact

German Aerospace Center (DLR)

Mattia Marconcini

mattia.marconcini@dlr.de

Author

DLR/EOC Land Surface Dynamics

WSF Team

wsf@dlr.de

Point of contact

German Aerospace Center (DLR)

EOC Geoservice

geoservice@dlr.de

Point of contact
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

  • 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
Other constraints
Es gelten keine Zugriffsbeschränkungen.
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
Language
English
Character set
UTF8
Topic category
  • Imagery base maps earth cover
N
S
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Begin date
2019-01-01T00:00:00
End date
2019-12-31T23:59:00
Unique resource identifier
EPSG:4326
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
No
Distribution format
Name Version

GeoTIFF

OnLine resource
Protocol Linkage Name

OGC:WMS

https://geoservice.dlr.de/eoc/land/wms?

WSF_2019

OGC:WMS-http-get-capabilities

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

WWW:LINK-1.0-http--link

https://geoservice.dlr.de/web/maps/eoc:wsf2019

EOC Geoservice Map Context

WWW:LINK-1.0-http--link

https://download.geoservice.dlr.de/WSF2019/

EOC Download Service

WWW:LINK-1.0-http--link

https://geoservice.dlr.de/eoc/ogc/stac/collections/WSF_2019

EOC STAC Collection

WWW:LINK-1.0-http--link

https://www.dlr.de/content/en/articles/news/2021/04/20211111_the-view-from-space-how-cities-are-growing.html

World Settlement Footprint - DLR News

Hierarchy level
Dataset

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Explanation

See the referenced specification

Pass
Yes
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.

Metadata

File identifier
cbc6cb05-1245-41f9-a866-051119441187 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

Dataset

Date stamp
2024-06-20T13:08:13
Metadata standard name

19115-1:2014/19139

Metadata standard version

2003/Cor.1:2006

Metadata author
Organisation name Individual name Electronic mail address Role

German Aerospace Center (DLR)

geoservice@dlr.de

Point of contact
 
 

Overviews

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail




Keywords

GEMET - INSPIRE themes, version 1.0

Land cover


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