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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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30 results

Time (local)	Label
2013-08-01 18:21:46	wofs_ls_178073_2013-08-01.stac-item
2014-08-12 17:34:46	wofs_ls_170084_2014-08-12.stac-item
2015-04-02 18:54:50	wofs_ls_185054_2015-04-02.stac-item
2015-05-23 19:20:38	wofs_ls_190042_2015-05-23.stac-item
2016-02-21 19:15:29	wofs_ls_188058_2016-02-21.stac-item
2016-11-20 18:20:42	wofs_ls_179059_2016-11-20.stac-item
2017-03-28 19:50:53	wofs_ls_195039_2017-03-28.stac-item
2017-07-31 16:15:43	wofs_ls_158072_2017-07-31.stac-item
2017-12-11 16:26:29	wofs_ls_161052_2017-12-11.stac-item
2018-03-23 20:44:37	wofs_ls_203050_2018-03-23.stac-item
2018-05-05 20:28:28	wofs_ls_200057_2018-05-05.stac-item
2018-11-26 16:38:37	wofs_ls_163052_2018-11-26.stac-item
2020-07-02 17:35:30	wofs_ls_171071_2020-07-02.stac-item
2021-02-01 16:55:10	wofs_ls_165062_2021-02-01.stac-item
2021-11-09 18:49:08	wofs_ls_183071_2021-11-09.stac-item
2021-12-09 16:17:19	wofs_ls_158075_2021-12-09.stac-item
2022-01-03 20:58:32	wofs_ls_205052_2022-01-03.stac-item
2022-01-27 16:09:43	wofs_ls_157072_2022-01-27.stac-item
2022-05-25 18:46:37	wofs_ls_183063_2022-05-25.stac-item
2022-07-31 18:27:48	wofs_ls_180062_2022-07-31.stac-item
2022-10-12 19:50:06	wofs_ls_195035_2022-10-12.stac-item
2022-11-23 18:59:54	wofs_ls_185064_2022-11-23.stac-item
2023-01-22 18:33:04	wofs_ls_181059_2023-01-22.stac-item
2023-06-17 18:19:50	wofs_ls_179059_2023-06-17.stac-item
2023-07-14 17:19:34	wofs_ls_168078_2023-07-14.stac-item
2023-08-25 19:24:15	wofs_ls_190049_2023-08-25.stac-item
2024-02-29 20:40:30	wofs_ls_202054_2024-02-29.stac-item
2024-04-08 17:31:19	wofs_ls_171061_2024-04-08.stac-item
2024-04-21 19:20:53	wofs_ls_190041_2024-04-21.stac-item
2024-05-20 17:18:26	wofs_ls_169060_2024-05-20.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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