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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
2013-05-24 16:22:24	wofs_ls_159068_2013-05-24.stac-item
2013-10-07 17:12:28	wofs_ls_167070_2013-10-07.stac-item
2014-05-20 17:57:21	wofs_ls_174080_2014-05-20.stac-item
2014-08-10 20:47:44	wofs_ls_204041_2014-08-10.stac-item
2015-02-06 18:49:59	wofs_ls_184056_2015-02-06.stac-item
2015-12-23 18:51:24	wofs_ls_184059_2015-12-23.stac-item
2015-12-30 18:51:11	wofs_ls_185043_2015-12-30.stac-item
2016-02-14 17:40:50	wofs_ls_171084_2016-02-14.stac-item
2017-01-24 17:28:50	wofs_ls_170069_2017-01-24.stac-item
2017-08-30 18:11:06	wofs_ls_176082_2017-08-30.stac-item
2017-09-15 17:58:45	wofs_ls_176051_2017-09-15.stac-item
2018-05-03 17:33:52	wofs_ls_170084_2018-05-03.stac-item
2018-05-07 18:39:36	wofs_ls_182063_2018-05-07.stac-item
2018-11-28 16:27:51	wofs_ls_161056_2018-11-28.stac-item
2020-01-25 16:39:49	wofs_ls_162070_2020-01-25.stac-item
2020-06-06 16:51:24	wofs_ls_165054_2020-06-06.stac-item
2020-08-19 20:40:46	wofs_ls_203039_2020-08-19.stac-item
2020-11-15 16:41:46	wofs_ls_163059_2020-11-15.stac-item
2020-12-31 18:39:23	wofs_ls_181075_2020-12-31.stac-item
2021-01-24 17:41:02	wofs_ls_173053_2021-01-24.stac-item
2021-10-25 19:10:38	wofs_ls_187060_2021-10-25.stac-item
2021-12-17 17:00:17	wofs_ls_166059_2021-12-17.stac-item
2022-01-16 16:29:56	wofs_ls_160076_2022-01-16.stac-item
2022-03-08 17:43:43	wofs_ls_173060_2022-03-08.stac-item
2022-03-31 20:16:44	wofs_ls_198057_2022-03-31.stac-item
2022-10-27 20:52:08	wofs_ls_204051_2022-10-27.stac-item
2023-02-13 20:15:41	wofs_ls_199037_2023-02-13.stac-item
2023-04-06 17:29:48	wofs_ls_171057_2023-04-06.stac-item
2023-08-16 17:04:56	wofs_ls_167056_2023-08-16.stac-item
2024-01-26 17:32:19	wofs_ls_172047_2024-01-26.stac-item
2024-04-03 16:26:08	wofs_ls_160067_2024-04-03.stac-item
2024-05-28 17:59:48	wofs_ls_177040_2024-05-28.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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