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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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32 results

Time (local)	Label
2013-04-27 16:35:03	wofs_ls_162054_2013-04-27.stac-item
2013-08-28 19:31:24	wofs_ls_191046_2013-08-28.stac-item
2014-01-16 17:32:40	wofs_ls_170076_2014-01-16.stac-item
2015-02-08 18:39:59	wofs_ls_182062_2015-02-08.stac-item
2015-10-31 20:09:20	wofs_ls_197053_2015-10-31.stac-item
2016-05-23 17:52:40	wofs_ls_176037_2016-05-23.stac-item
2016-09-13 17:06:26	wofs_ls_167059_2016-09-13.stac-item
2016-10-24 17:02:46	wofs_ls_166065_2016-10-24.stac-item
2016-11-12 19:06:57	wofs_ls_187051_2016-11-12.stac-item
2016-12-10 18:02:19	wofs_ls_175075_2016-12-10.stac-item
2016-12-17 16:29:35	wofs_ls_160075_2016-12-17.stac-item
2017-04-27 16:53:57	wofs_ls_165061_2017-04-27.stac-item
2017-05-04 17:04:54	wofs_ls_166073_2017-05-04.stac-item
2017-09-27 16:45:29	wofs_ls_164053_2017-09-27.stac-item
2018-04-18 16:32:23	wofs_ls_161069_2018-04-18.stac-item
2018-10-03 17:25:30	wofs_ls_169077_2018-10-03.stac-item
2018-10-05 17:04:23	wofs_ls_167055_2018-10-05.stac-item
2019-06-09 20:25:57	wofs_ls_200049_2019-06-09.stac-item
2019-06-29 18:26:26	wofs_ls_180059_2019-06-29.stac-item
2019-07-20 17:13:45	wofs_ls_167078_2019-07-20.stac-item
2020-01-04 16:23:21	wofs_ls_159075_2020-01-04.stac-item
2021-01-25 19:56:48	wofs_ls_196037_2021-01-25.stac-item
2021-06-07 17:12:46	wofs_ls_167076_2021-06-07.stac-item
2021-09-01 16:33:20	wofs_ls_161069_2021-09-01.stac-item
2021-11-14 18:37:52	wofs_ls_183040_2021-11-14.stac-item
2022-01-23 17:14:27	wofs_ls_169048_2022-01-23.stac-item
2022-05-12 19:12:42	wofs_ls_188051_2022-05-12.stac-item
2022-07-30 18:35:31	wofs_ls_181065_2022-07-30.stac-item
2023-05-08 19:48:56	wofs_ls_195034_2023-05-08.stac-item
2024-03-22 17:39:37	wofs_ls_172065_2024-03-22.stac-item
2024-04-28 17:11:35	wofs_ls_167074_2024-04-28.stac-item
2024-05-20 20:33:24	wofs_ls_201053_2024-05-20.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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