Search wsf_2019 whole collection

Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

34 results

Time (local)	Label
2019-01-01 09:30:00	WSF2019_v1_-4_20.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_22.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_16.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_18.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_24.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_10.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_28.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_14.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_12.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_26.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_30.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_14.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_4.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_20.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_26.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_6.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_12.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_6.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_30.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_22.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_18.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_8.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_16.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_36.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_24.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_28.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_36.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_32.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_4.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_32.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_10.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_8.stac-item
2019-01-01 09:30:00	WSF2019_v1_-6_34.stac-item
2019-01-01 09:30:00	WSF2019_v1_-4_34.stac-item

Return to wsf_2019 whole collection overview

wsf_2019: 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.

Products

All years