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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

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Dataset URI:

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31 results

Time (local)	Label
2013-04-09 18:33:17	wofs_ls_181057_2013-04-09.stac-item
2013-07-28 18:45:41	wofs_ls_182071_2013-07-28.stac-item
2014-08-15 19:33:24	wofs_ls_191056_2014-08-15.stac-item
2014-08-25 20:08:54	wofs_ls_197052_2014-08-25.stac-item
2014-08-30 17:14:51	wofs_ls_168065_2014-08-30.stac-item
2015-01-23 17:01:57	wofs_ls_166064_2015-01-23.stac-item
2015-02-03 19:53:13	wofs_ls_195044_2015-02-03.stac-item
2016-03-27 16:31:37	wofs_ls_161066_2016-03-27.stac-item
2017-03-19 18:25:01	wofs_ls_180056_2017-03-19.stac-item
2017-07-26 15:54:21	wofs_ls_155065_2017-07-26.stac-item
2017-11-07 18:24:14	wofs_ls_179068_2017-11-07.stac-item
2018-07-05 19:55:33	wofs_ls_195052_2018-07-05.stac-item
2018-08-13 18:27:33	wofs_ls_180063_2018-08-13.stac-item
2018-10-26 20:38:49	wofs_ls_202050_2018-10-26.stac-item
2019-02-10 20:22:32	wofs_ls_199056_2019-02-10.stac-item
2019-04-21 19:44:43	wofs_ls_193055_2019-04-21.stac-item
2019-10-10 18:25:08	wofs_ls_181039_2019-10-10.stac-item
2019-10-21 18:11:23	wofs_ls_178051_2019-10-21.stac-item
2020-01-25 19:42:50	wofs_ls_194033_2020-01-25.stac-item
2021-05-09 19:15:54	wofs_ls_188060_2021-05-09.stac-item
2021-07-30 19:04:52	wofs_ls_186062_2021-07-30.stac-item
2021-11-12 18:58:24	wofs_ls_186041_2021-11-12.stac-item
2021-11-14 20:22:44	wofs_ls_199055_2021-11-14.stac-item
2021-12-16 16:23:01	wofs_ls_159074_2021-12-16.stac-item
2022-05-25 17:08:31	wofs_ls_167065_2022-05-25.stac-item
2022-09-22 18:42:38	wofs_ls_183052_2022-09-22.stac-item
2022-09-27 20:41:16	wofs_ls_202055_2022-09-27.stac-item
2022-10-13 15:49:28	wofs_ls_154067_2022-10-13.stac-item
2022-11-14 17:22:49	wofs_ls_170053_2022-11-14.stac-item
2024-03-19 17:06:21	wofs_ls_167059_2024-03-19.stac-item
2024-05-22 17:06:27	wofs_ls_167061_2024-05-22.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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