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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:

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31 results

Time (local)	Label
2013-05-01 21:02:38	wofs_ls_206043_2013-05-01.stac-item
2013-10-10 20:49:35	wofs_ls_204041_2013-10-10.stac-item
2014-05-03 15:32:11	wofs_ls_151072_2014-05-03.stac-item
2015-11-26 17:40:15	wofs_ls_171082_2015-11-26.stac-item
2016-03-06 17:42:10	wofs_ls_174041_2016-03-06.stac-item
2016-06-04 16:51:19	wofs_ls_164069_2016-06-04.stac-item
2017-03-06 18:48:06	wofs_ls_185036_2017-03-06.stac-item
2017-05-19 19:29:37	wofs_ls_191048_2017-05-19.stac-item
2018-05-23 18:43:00	wofs_ls_182072_2018-05-23.stac-item
2018-06-04 17:31:30	wofs_ls_170079_2018-06-04.stac-item
2018-07-05 16:40:34	wofs_ls_163059_2018-07-05.stac-item
2019-01-09 18:40:33	wofs_ls_183048_2019-01-09.stac-item
2019-01-13 18:11:26	wofs_ls_179037_2019-01-13.stac-item
2019-04-18 17:46:31	wofs_ls_172084_2019-04-18.stac-item
2020-11-15 21:34:26	wofs_ls_211049_2020-11-15.stac-item
2021-11-27 18:19:19	wofs_ls_178071_2021-11-27.stac-item
2022-01-11 18:24:12	wofs_ls_181037_2022-01-11.stac-item
2022-04-05 18:07:32	wofs_ls_177058_2022-04-05.stac-item
2022-04-18 17:46:29	wofs_ls_172083_2022-04-18.stac-item
2022-06-09 19:40:01	wofs_ls_192057_2022-06-09.stac-item
2022-06-30 18:17:25	wofs_ls_179051_2022-06-30.stac-item
2022-07-16 17:25:34	wofs_ls_171046_2022-07-16.stac-item
2022-12-03 16:21:10	wofs_ls_159069_2022-12-03.stac-item
2023-01-29 19:26:47	wofs_ls_190054_2023-01-29.stac-item
2023-01-31 17:46:44	wofs_ls_172082_2023-01-31.stac-item
2023-04-03 17:51:49	wofs_ls_174065_2023-04-03.stac-item
2023-05-09 19:00:05	wofs_ls_186051_2023-05-09.stac-item
2023-05-10 16:35:09	wofs_ls_161075_2023-05-10.stac-item
2023-07-22 18:10:11	wofs_ls_176081_2023-07-22.stac-item
2023-08-23 16:26:47	wofs_ls_160069_2023-08-23.stac-item
2024-04-12 17:12:57	wofs_ls_167077_2024-04-12.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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