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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
2014-05-14 18:26:54	wofs_ls_180061_2014-05-14.stac-item
2015-05-21 18:00:04	wofs_ls_176057_2015-05-21.stac-item
2017-02-17 18:12:31	wofs_ls_178055_2017-02-17.stac-item
2017-09-08 19:24:17	wofs_ls_191033_2017-09-08.stac-item
2018-05-10 17:30:00	wofs_ls_171059_2018-05-10.stac-item
2018-08-24 19:40:49	wofs_ls_193045_2018-08-24.stac-item
2018-11-26 18:27:52	wofs_ls_179078_2018-11-26.stac-item
2018-12-25 19:19:04	wofs_ls_190036_2018-12-25.stac-item
2019-02-23 18:05:08	wofs_ls_178037_2019-02-23.stac-item
2019-06-11 18:41:06	wofs_ls_182065_2019-06-11.stac-item
2019-11-22 19:49:48	wofs_ls_194050_2019-11-22.stac-item
2020-01-27 18:07:55	wofs_ls_176074_2020-01-27.stac-item
2020-02-15 18:37:09	wofs_ls_181070_2020-02-15.stac-item
2020-05-16 19:42:56	wofs_ls_194035_2020-05-16.stac-item
2020-10-14 16:41:49	wofs_ls_163059_2020-10-14.stac-item
2021-04-07 19:16:07	wofs_ls_188060_2021-04-07.stac-item
2021-12-11 19:07:33	wofs_ls_188037_2021-12-11.stac-item
2022-03-16 17:36:50	wofs_ls_173043_2022-03-16.stac-item
2022-04-24 18:38:16	wofs_ls_182058_2022-04-24.stac-item
2023-04-28 18:32:13	wofs_ls_181059_2023-04-28.stac-item
2023-07-06 19:39:03	wofs_ls_192056_2023-07-06.stac-item
2023-08-20 20:43:19	wofs_ls_203046_2023-08-20.stac-item
2023-08-29 19:47:05	wofs_ls_194044_2023-08-29.stac-item
2024-02-01 17:54:57	wofs_ls_174072_2024-02-01.stac-item
2024-04-16 19:48:48	wofs_ls_195034_2024-04-16.stac-item
2024-04-29 19:19:21	wofs_ls_190038_2024-04-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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