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
- 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
- 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
- Metadata language
- English
- Character set
- UTF8
- Topic category
-
- Imagery base maps earth cover
- 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
-
-
GeoTIFF
()
-
GeoTIFF
()
- OnLine resource
-
WSF_2019
(
OGC:WMS
)
World Settlement Footprint 2019
- OnLine resource
- https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities ( OGC:WMS-http-get-capabilities )
- OnLine resource
- EOC Geoservice Map Context ( WWW:LINK-1.0-http--link )
- OnLine resource
- EOC Download Service ( WWW:LINK-1.0-http--link )
- OnLine resource
- EOC STAC Collection ( WWW:LINK-1.0-http--link )
- OnLine resource
- World Settlement Footprint - DLR News ( WWW:LINK-1.0-http--link )
- Hierarchy level
- Dataset
Domain consistency
- Measure identification
- INSPIRE / Conformity_001
Conformance result
- 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.
- File identifier
- cbc6cb05-1245-41f9-a866-051119441187 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Hierarchy level name
-
Dataset
- Date stamp
- 2023-03-14T12:05:48
- Metadata standard name
-
19115-1:2014/19139
- Metadata standard version
-
2003/Cor.1:2006