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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:

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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
2014-02-04 17:59:51	wofs_ls_175067_2014-02-04.stac-item
2014-10-01 20:20:21	wofs_ls_200034_2014-10-01.stac-item
2015-02-20 17:34:32	wofs_ls_170084_2015-02-20.stac-item
2015-10-03 19:45:43	wofs_ls_193056_2015-10-03.stac-item
2016-05-13 19:01:58	wofs_ls_186056_2016-05-13.stac-item
2016-09-10 19:50:06	wofs_ls_194051_2016-09-10.stac-item
2017-04-28 17:41:35	wofs_ls_172072_2017-04-28.stac-item
2017-09-16 18:47:12	wofs_ls_183064_2017-09-16.stac-item
2018-03-18 17:17:54	wofs_ls_168074_2018-03-18.stac-item
2018-07-31 18:55:08	wofs_ls_185055_2018-07-31.stac-item
2020-03-22 19:37:07	wofs_ls_193035_2020-03-22.stac-item
2020-07-10 18:20:36	wofs_ls_179060_2020-07-10.stac-item
2020-07-20 17:15:16	wofs_ls_169051_2020-07-20.stac-item
2020-07-23 17:46:59	wofs_ls_174053_2020-07-23.stac-item
2020-10-16 18:07:32	wofs_ls_177057_2020-10-16.stac-item
2021-03-01 18:59:01	wofs_ls_185063_2021-03-01.stac-item
2021-07-06 19:52:10	wofs_ls_194057_2021-07-06.stac-item
2022-03-08 16:09:37	wofs_ls_157072_2022-03-08.stac-item
2022-04-16 18:30:22	wofs_ls_182038_2022-04-16.stac-item
2022-07-29 16:16:33	wofs_ls_158073_2022-07-29.stac-item
2022-08-03 20:34:50	wofs_ls_201055_2022-08-03.stac-item
2022-09-17 20:03:21	wofs_ls_196053_2022-09-17.stac-item
2022-09-23 21:02:48	wofs_ls_206047_2022-09-23.stac-item
2023-05-15 18:28:09	wofs_ls_180064_2023-05-15.stac-item
2023-07-21 18:57:26	wofs_ls_185060_2023-07-21.stac-item
2023-09-08 18:50:51	wofs_ls_184058_2023-09-08.stac-item
2024-02-09 16:16:40	wofs_ls_158074_2024-02-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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