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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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30 results

Time (local)	Label
2013-11-04 17:35:51	wofs_ls_171067_2013-11-04.stac-item
2014-07-15 18:39:34	wofs_ls_182061_2014-07-15.stac-item
2014-11-15 16:41:18	wofs_ls_163058_2014-11-15.stac-item
2014-12-25 19:01:08	wofs_ls_187037_2014-12-25.stac-item
2017-01-05 20:10:37	wofs_ls_197056_2017-01-05.stac-item
2017-09-20 18:21:43	wofs_ls_179062_2017-09-20.stac-item
2017-11-08 20:34:25	wofs_ls_202038_2017-11-08.stac-item
2018-05-03 17:22:18	wofs_ls_170055_2018-05-03.stac-item
2018-09-16 19:45:55	wofs_ls_194042_2018-09-16.stac-item
2019-01-05 17:34:23	wofs_ls_171068_2019-01-05.stac-item
2019-02-06 17:25:54	wofs_ls_171047_2019-02-06.stac-item
2019-04-14 19:38:11	wofs_ls_192054_2019-04-14.stac-item
2019-11-02 17:02:24	wofs_ls_166064_2019-11-02.stac-item
2020-01-26 17:17:05	wofs_ls_169055_2020-01-26.stac-item
2020-06-04 20:20:19	wofs_ls_199051_2020-06-04.stac-item
2020-12-09 19:10:33	wofs_ls_187060_2020-12-09.stac-item
2021-04-13 17:03:19	wofs_ls_166068_2021-04-13.stac-item
2021-07-07 17:15:17	wofs_ls_169051_2021-07-07.stac-item
2022-02-01 17:21:26	wofs_ls_168081_2022-02-01.stac-item
2022-04-02 19:14:20	wofs_ls_188055_2022-04-02.stac-item
2022-06-07 20:38:27	wofs_ls_202050_2022-06-07.stac-item
2022-08-23 16:54:52	wofs_ls_165061_2022-08-23.stac-item
2022-11-10 19:19:38	wofs_ls_190036_2022-11-10.stac-item
2022-12-20 18:30:10	wofs_ls_182036_2022-12-20.stac-item
2023-01-11 18:42:28	wofs_ls_184036_2023-01-11.stac-item
2023-01-14 20:10:24	wofs_ls_197055_2023-01-14.stac-item
2023-07-20 16:31:43	wofs_ls_162051_2023-07-20.stac-item
2024-02-06 17:28:14	wofs_ls_169083_2024-02-06.stac-item
2024-02-13 17:19:15	wofs_ls_170045_2024-02-13.stac-item
2024-04-15 19:12:44	wofs_ls_188052_2024-04-15.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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