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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

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Dataset URI:

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27 results

Time (local)	Label
2013-06-21 16:46:59	wofs_ls_163068_2013-06-21.stac-item
2014-04-06 17:24:06	wofs_ls_170057_2014-04-06.stac-item
2014-04-10 17:06:53	wofs_ls_166076_2014-04-10.stac-item
2015-09-20 20:09:47	wofs_ls_198039_2015-09-20.stac-item
2016-01-08 20:23:26	wofs_ls_200042_2016-01-08.stac-item
2016-08-24 19:10:20	wofs_ls_187060_2016-08-24.stac-item
2016-12-25 17:12:37	wofs_ls_168059_2016-12-25.stac-item
2017-01-04 16:17:34	wofs_ls_158076_2017-01-04.stac-item
2017-10-11 18:42:46	wofs_ls_182068_2017-10-11.stac-item
2017-10-15 18:14:28	wofs_ls_178059_2017-10-15.stac-item
2017-11-03 17:08:05	wofs_ls_167063_2017-11-03.stac-item
2018-02-09 18:33:46	wofs_ls_181062_2018-02-09.stac-item
2018-09-30 16:46:59	wofs_ls_164058_2018-09-30.stac-item
2020-03-09 17:02:43	wofs_ls_166066_2020-03-09.stac-item
2022-04-22 17:59:14	wofs_ls_176053_2022-04-22.stac-item
2022-06-14 20:40:20	wofs_ls_203039_2022-06-14.stac-item
2022-06-18 18:41:58	wofs_ls_183052_2022-06-18.stac-item
2022-07-14 19:20:46	wofs_ls_189056_2022-07-14.stac-item
2022-08-12 20:26:44	wofs_ls_200050_2022-08-12.stac-item
2022-12-01 18:10:00	wofs_ls_177063_2022-12-01.stac-item
2022-12-21 17:44:29	wofs_ls_173061_2022-12-21.stac-item
2023-01-23 19:15:56	wofs_ls_188058_2023-01-23.stac-item
2023-02-27 18:11:15	wofs_ls_177067_2023-02-27.stac-item
2023-04-27 16:15:40	wofs_ls_158073_2023-04-27.stac-item
2023-06-06 18:38:17	wofs_ls_182059_2023-06-06.stac-item
2024-01-28 18:17:38	wofs_ls_178067_2024-01-28.stac-item
2024-03-06 18:27:37	wofs_ls_180062_2024-03-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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