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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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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26 results

Time (local)	Label
2015-04-19 18:02:48	wofs_ls_176063_2015-04-19.stac-item
2015-12-03 17:33:39	wofs_ls_172050_2015-12-03.stac-item
2016-11-01 21:00:48	wofs_ls_206042_2016-11-01.stac-item
2017-04-11 16:58:31	wofs_ls_165072_2017-04-11.stac-item
2017-10-10 19:34:00	wofs_ls_191057_2017-10-10.stac-item
2018-01-28 18:04:20	wofs_ls_177050_2018-01-28.stac-item
2019-10-11 17:35:06	wofs_ls_172053_2019-10-11.stac-item
2020-01-09 19:47:17	wofs_ls_194044_2020-01-09.stac-item
2020-05-06 17:46:29	wofs_ls_172084_2020-05-06.stac-item
2020-05-29 19:19:38	wofs_ls_189054_2020-05-29.stac-item
2020-06-06 20:06:47	wofs_ls_197048_2020-06-06.stac-item
2020-08-28 15:51:58	wofs_ls_154074_2020-08-28.stac-item
2021-12-28 18:17:04	wofs_ls_179050_2021-12-28.stac-item
2022-01-07 18:52:32	wofs_ls_185046_2022-01-07.stac-item
2022-07-20 18:41:24	wofs_ls_183050_2022-07-20.stac-item
2022-07-22 20:07:57	wofs_ls_197050_2022-07-22.stac-item
2022-11-01 18:03:14	wofs_ls_175077_2022-11-01.stac-item
2022-12-24 18:20:34	wofs_ls_178074_2022-12-24.stac-item
2023-01-04 17:48:32	wofs_ls_175040_2023-01-04.stac-item
2023-02-04 19:32:43	wofs_ls_192038_2023-02-04.stac-item
2023-02-17 18:27:58	wofs_ls_179077_2023-02-17.stac-item
2023-02-17 18:27:58	wofs_ls_179077_2023-02-17.stac-item
2023-02-26 16:34:22	wofs_ls_162056_2023-02-26.stac-item
2023-06-08 18:23:57	wofs_ls_180054_2023-06-08.stac-item
2023-08-10 16:58:48	wofs_ls_165072_2023-08-10.stac-item
2024-01-19 16:41:44	wofs_ls_163059_2024-01-19.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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