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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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27 results

Time (local)	Label
2014-09-21 18:17:29	wofs_ls_178067_2014-09-21.stac-item
2016-04-19 21:27:07	wofs_ls_210048_2016-04-19.stac-item
2016-11-13 18:14:55	wofs_ls_178060_2016-11-13.stac-item
2017-01-02 18:11:12	wofs_ls_176082_2017-01-02.stac-item
2017-06-11 19:37:36	wofs_ls_192052_2017-06-11.stac-item
2017-07-07 20:16:23	wofs_ls_198056_2017-07-07.stac-item
2018-01-06 18:48:24	wofs_ls_183067_2018-01-06.stac-item
2018-06-18 17:33:38	wofs_ls_172053_2018-06-18.stac-item
2019-01-20 19:56:05	wofs_ls_196036_2019-01-20.stac-item
2019-05-28 20:03:32	wofs_ls_196055_2019-05-28.stac-item
2019-08-26 20:38:42	wofs_ls_202049_2019-08-26.stac-item
2020-06-08 19:50:51	wofs_ls_195039_2020-06-08.stac-item
2020-07-23 17:49:22	wofs_ls_174059_2020-07-23.stac-item
2021-01-04 16:34:34	wofs_ls_161072_2021-01-04.stac-item
2021-07-14 19:02:44	wofs_ls_186057_2021-07-14.stac-item
2021-08-30 16:45:17	wofs_ls_163068_2021-08-30.stac-item
2022-05-09 19:33:00	wofs_ls_191056_2022-05-09.stac-item
2022-06-08 18:05:33	wofs_ls_177054_2022-06-08.stac-item
2022-06-13 18:24:57	wofs_ls_180056_2022-06-13.stac-item
2022-09-17 17:35:45	wofs_ls_172054_2022-09-17.stac-item
2022-11-18 17:52:22	wofs_ls_174065_2022-11-18.stac-item
2022-12-21 17:46:05	wofs_ls_173065_2022-12-21.stac-item
2023-02-23 17:48:20	wofs_ls_173071_2023-02-23.stac-item
2023-03-13 16:47:50	wofs_ls_163075_2023-03-13.stac-item
2023-08-03 17:35:22	wofs_ls_172055_2023-08-03.stac-item
2024-04-02 17:16:58	wofs_ls_169055_2024-04-02.stac-item
2024-04-16 18:22:40	wofs_ls_179066_2024-04-16.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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