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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
2013-06-24 18:48:01	wofs_ls_184046_2013-06-24.stac-item
2014-06-25 20:33:03	wofs_ls_202036_2014-06-25.stac-item
2014-10-29 17:40:03	wofs_ls_172066_2014-10-29.stac-item
2015-01-20 19:36:54	wofs_ls_193034_2015-01-20.stac-item
2015-05-31 17:01:55	wofs_ls_166066_2015-05-31.stac-item
2015-09-17 18:10:21	wofs_ls_177065_2015-09-17.stac-item
2015-11-23 20:16:21	wofs_ls_198055_2015-11-23.stac-item
2016-09-24 16:47:54	wofs_ls_164059_2016-09-24.stac-item
2016-11-17 19:22:19	wofs_ls_190043_2016-11-17.stac-item
2018-02-18 20:04:25	wofs_ls_196057_2018-02-18.stac-item
2019-05-10 17:04:19	wofs_ls_166071_2019-05-10.stac-item
2019-05-17 17:11:23	wofs_ls_167073_2019-05-17.stac-item
2019-07-07 15:59:44	wofs_ls_156063_2019-07-07.stac-item
2019-07-26 19:45:42	wofs_ls_193056_2019-07-26.stac-item
2020-01-03 17:13:23	wofs_ls_168061_2020-01-03.stac-item
2020-03-20 19:50:18	wofs_ls_195037_2020-03-20.stac-item
2020-04-28 16:51:56	wofs_ls_164071_2020-04-28.stac-item
2020-05-01 18:56:30	wofs_ls_185058_2020-05-01.stac-item
2021-03-03 17:02:11	wofs_ls_167049_2021-03-03.stac-item
2021-07-03 16:08:41	wofs_ls_157070_2021-07-03.stac-item
2022-01-04 18:24:49	wofs_ls_180054_2022-01-04.stac-item
2022-02-18 16:20:31	wofs_ls_159068_2022-02-18.stac-item
2022-05-11 20:56:42	wofs_ls_205049_2022-05-11.stac-item
2022-07-30 17:45:19	wofs_ls_173064_2022-07-30.stac-item
2023-01-01 20:34:12	wofs_ls_202037_2023-01-01.stac-item
2023-01-13 17:48:40	wofs_ls_174056_2023-01-13.stac-item
2023-01-16 17:40:47	wofs_ls_171083_2023-01-16.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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