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World Settlement Footprint (WSF) Evolution - Landsat-5/-7 - 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.

Starting backwards from the year 2015 - for which the WSF2015 is used as a reference - settlement and non-settlement training samples for the given target year t are iteratively extracted by applying morphological filtering to the settlement mask derived for the year t+1, as well as excluding potentially mislabeled samples by adaptively thresholding the temporal mean NDBI, MNDWI and NDVI. Finally, binary Random Forest classification in performed.

To quantitatively assess the high accuracy and reliability of the dataset, an extensive campaign based on crowdsourcing photointerpretation of very high-resolution airborne and satellite historical imagery has been performed with the support of Google. In particular, for the years 1990, 1995, 2000, 2005, 2010 and 2015, ~200K reference cells of 30x30m size distributed over 100 sites around the world have been labelled, hence summing up to overall ~1.2M validation samples.

It is worth noting that past Landsat-5/7 availability considerably varies across the world and over time. Independently from the implemented approach, this might then result in a lower quality of the final product where few/no scenes have been collected. Accordingly, to provide the users with a suitable and intuitive measure that accounts for the goodness of the Landsat imagery, we conceived the Input Data Consistency (IDC) score, which ranges from 6 to 1 with: 6) very good; 5) good; 4) fair; 3) moderate; 2) low; 1) very low. The IDC score is available on a yearly basis between 1985 and 2015 and supports a proper interpretation of the WSF evolution product.

The WSF evolution and IDC score datasets are organized in 5138 GeoTIFF files (EPSG4326 projection) each one referring to a portion of 2x2 degree size (~222x222km) on the ground. WSF evolution values range between 1985 and 2015 corresponding to the estimated year of settlement detection, whereas 0 is no data.

A comprehensive publication with all technical details and accuracy figures is currently being finalized. For the time being, please refer to Marconcini et al,. 2021.

  • INSPIRE
  • SDS

INSPIRE

Identification

File identifier
42a7aba1-bb5f-4eb6-9244-5b64ee6a5f81 XML
Hierarchy level
Dataset
Online resource
Protocol

WWW:LINK-1.0-http--link

Protocol

OGC:WMS

Protocol

OGC:WMS-http-get-capabilities

Protocol

WWW:LINK-1.0-http--link

Protocol

WWW:LINK-1.0-http--link

Protocol

WWW:LINK-1.0-http--link

Protocol

WWW:LINK-1.0-http--link

Resource identifier
code

https://geoservice.dlr.de/catalogue/srv/metadata/42a7aba1-bb5f-4eb6-9244-5b64ee6a5f8 1

Metadata language
English
Spatial representation type
Grid
Encoding
Format

GeoTIFF

Projection
code
EPSG:4326
 

Classification of data and services

Topic category
  • Imagery base maps earth cover
 

Classification of data and services

Coupled resource

Coupled resource
 
 

Classification of data and services

Coupled resource

Coupled resource
 
 

Keywords

GEMET - INSPIRE themes, version 1.0

  • Bodenbedeckung

Other keywords

Keywords
  • opendata

  • global settlement growth

  • urbanization

  • land

  • Landsat-5

  • Landsat-7

  • inspireidentifiziert

 
 

Geographic coverage

N
S
E
W
thumbnail


 

Temporal reference

Temporal extent
Begin
1985-01-01T00:00:00
End
2015-12-31T23:59:00
Temporal extent
Date (Creation)
2021-11-01T00:00:00
 

Quality and validity

Lineage

The WSF evolution has been generated by means of an advanced classification system which exploits open-and-free optical Landsat-5/7 historical imagery acquired between 1985 and 2015. In particular, ~7M scenes have been processed.

Denominator
60000
 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
Explanation

See the referenced specification

 

Restrictions on access and use

Access constraints
Es gelten keine Zugriffsbeschränkungen.
Access constraints

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

Access 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 (year of production)"}

 

Responsible organization (s)

Contact for the resource
Organisation name

German Aerospace Center (DLR)

Email

geoservice@dlr.de

Organisation name

German Aerospace Center (DLR)

Email

mattia.marconcini@dlr.de

Organisation name

DLR/EOC Land Surface Dynamics

Email

wsf@dlr.de

 

Responsible organization (s)

Contact for the resource
Organisation name

German Aerospace Center (DLR)

Email

geoservice@dlr.de

Organisation name

German Aerospace Center (DLR)

Email

mattia.marconcini@dlr.de

Organisation name

DLR/EOC Land Surface Dynamics

Email

wsf@dlr.de

 

Metadata information

Contact for the metadata
Organisation name

German Aerospace Center(DLR)

Email

geoservice@dlr.de

Date stamp
2025-02-03T09:05:37
Metadata language
English
Character set
UTF8
 
 

SDS

Conformance class 1: invocable

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Access constraints

Limitation
 

Use constraints

Limitation
 

Responsible custodian

Contact for the resource
 
 
 

Overviews

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Bodenbedeckung

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Access to the portal
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Associated resources

Not available


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