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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 16:36:15	wofs_ls_162057_2013-04-27.stac-item
2013-09-08 19:15:37	wofs_ls_188053_2013-09-08.stac-item
2015-06-05 17:14:57	wofs_ls_169052_2015-06-05.stac-item
2015-06-28 20:35:06	wofs_ls_202042_2015-06-28.stac-item
2016-01-11 16:09:39	wofs_ls_157072_2016-01-11.stac-item
2016-08-13 21:00:06	wofs_ls_206041_2016-08-13.stac-item
2017-06-25 18:10:21	wofs_ls_178050_2017-06-25.stac-item
2017-11-18 19:40:08	wofs_ls_192057_2017-11-18.stac-item
2017-12-21 20:20:35	wofs_ls_199050_2017-12-21.stac-item
2018-01-02 19:02:47	wofs_ls_187041_2018-01-02.stac-item
2018-02-18 20:00:26	wofs_ls_196047_2018-02-18.stac-item
2019-01-03 19:13:16	wofs_ls_189037_2019-01-03.stac-item
2019-05-08 17:15:52	wofs_ls_168069_2019-05-08.stac-item
2019-11-16 17:13:07	wofs_ls_168060_2019-11-16.stac-item
2020-08-04 16:33:16	wofs_ls_162054_2020-08-04.stac-item
2020-09-24 20:19:28	wofs_ls_199047_2020-09-24.stac-item
2021-09-06 16:48:19	wofs_ls_164060_2021-09-06.stac-item
2022-07-20 18:42:12	wofs_ls_183052_2022-07-20.stac-item
2022-09-01 20:50:13	wofs_ls_204046_2022-09-01.stac-item
2022-09-11 21:28:34	wofs_ls_210049_2022-09-11.stac-item
2022-12-01 18:49:38	wofs_ls_185038_2022-12-01.stac-item
2022-12-07 17:25:47	wofs_ls_171045_2022-12-07.stac-item
2022-12-07 17:25:47	wofs_ls_171045_2022-12-07.stac-item
2022-12-17 19:45:44	wofs_ls_193055_2022-12-17.stac-item
2023-01-03 17:11:14	wofs_ls_168055_2023-01-03.stac-item
2023-01-03 18:47:20	wofs_ls_184048_2023-01-03.stac-item
2023-01-29 19:19:13	wofs_ls_190035_2023-01-29.stac-item
2023-02-26 17:25:12	wofs_ls_170060_2023-02-26.stac-item
2023-05-02 16:35:22	wofs_ls_161076_2023-05-02.stac-item
2023-06-14 17:05:44	wofs_ls_166075_2023-06-14.stac-item
2023-08-23 17:14:46	wofs_ls_168065_2023-08-23.stac-item
2024-04-06 18:38:42	wofs_ls_181074_2024-04-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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