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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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26 results

Time (local)	Label
2014-01-29 18:37:00	wofs_ls_181067_2014-01-29.stac-item
2014-07-14 19:24:02	wofs_ls_191033_2014-07-14.stac-item
2015-10-06 18:41:19	wofs_ls_182065_2015-10-06.stac-item
2015-11-29 18:05:58	wofs_ls_176069_2015-11-29.stac-item
2016-08-26 20:32:53	wofs_ls_201050_2016-08-26.stac-item
2016-11-30 20:28:42	wofs_ls_201039_2016-11-30.stac-item
2017-05-09 17:19:31	wofs_ls_169063_2017-05-09.stac-item
2017-12-29 17:48:14	wofs_ls_175040_2017-12-29.stac-item
2018-05-19 19:02:11	wofs_ls_186058_2018-05-19.stac-item
2018-07-19 20:09:36	wofs_ls_197056_2018-07-19.stac-item
2019-06-30 17:30:49	wofs_ls_171059_2019-06-30.stac-item
2019-08-08 19:15:41	wofs_ls_188058_2019-08-08.stac-item
2020-02-16 19:16:49	wofs_ls_188061_2020-02-16.stac-item
2020-08-24 17:46:46	wofs_ls_174052_2020-08-24.stac-item
2021-03-22 17:38:54	wofs_ls_172064_2021-03-22.stac-item
2021-07-21 19:08:34	wofs_ls_187056_2021-07-21.stac-item
2021-11-07 18:44:05	wofs_ls_182071_2021-11-07.stac-item
2022-02-06 17:37:34	wofs_ls_171075_2022-02-06.stac-item
2022-02-06 17:37:34	wofs_ls_171075_2022-02-06.stac-item
2022-05-24 17:11:05	wofs_ls_168057_2022-05-24.stac-item
2022-06-17 18:01:52	wofs_ls_176060_2022-06-17.stac-item
2022-07-04 18:48:56	wofs_ls_183069_2022-07-04.stac-item
2022-08-28 19:38:03	wofs_ls_192051_2022-08-28.stac-item
2023-01-24 18:25:06	wofs_ls_179070_2023-01-24.stac-item
2023-05-21 18:40:35	wofs_ls_182065_2023-05-21.stac-item
2023-06-21 18:48:24	wofs_ls_183069_2023-06-21.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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