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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:

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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:

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Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-10-16 17:02:40	wofs_ls_166061_2013-10-16.stac-item
2014-04-13 17:28:09	wofs_ls_171052_2014-04-13.stac-item
2014-12-02 19:02:13	wofs_ls_186055_2014-12-02.stac-item
2015-05-25 17:36:58	wofs_ls_172061_2015-05-25.stac-item
2016-09-05 17:57:26	wofs_ls_175063_2016-09-05.stac-item
2017-01-27 19:33:01	wofs_ls_191055_2017-01-27.stac-item
2018-02-03 17:34:46	wofs_ls_171069_2018-02-03.stac-item
2018-07-18 17:54:14	wofs_ls_174073_2018-07-18.stac-item
2019-07-13 18:38:03	wofs_ls_182057_2019-07-13.stac-item
2020-01-23 18:28:17	wofs_ls_180063_2020-01-23.stac-item
2020-05-16 19:42:32	wofs_ls_194034_2020-05-16.stac-item
2020-05-25 18:04:40	wofs_ls_177052_2020-05-25.stac-item
2020-12-08 16:48:01	wofs_ls_164059_2020-12-08.stac-item
2020-12-13 18:37:04	wofs_ls_183038_2020-12-13.stac-item
2020-12-30 17:51:45	wofs_ls_174064_2020-12-30.stac-item
2020-12-31 16:54:31	wofs_ls_165060_2020-12-31.stac-item
2021-10-14 16:14:59	wofs_ls_158069_2021-10-14.stac-item
2021-12-06 17:27:43	wofs_ls_169081_2021-12-06.stac-item
2022-05-23 17:22:29	wofs_ls_169069_2022-05-23.stac-item
2022-09-22 20:18:44	wofs_ls_199045_2022-09-22.stac-item
2023-01-30 17:48:51	wofs_ls_173072_2023-01-30.stac-item
2023-02-09 17:34:37	wofs_ls_171067_2023-02-09.stac-item
2023-02-28 17:21:13	wofs_ls_168081_2023-02-28.stac-item
2023-04-02 17:55:00	wofs_ls_175058_2023-04-02.stac-item
2023-07-12 17:21:33	wofs_ls_170052_2023-07-12.stac-item
2024-01-29 18:48:33	wofs_ls_185036_2024-01-29.stac-item
2024-04-06 19:18:35	wofs_ls_189051_2024-04-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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