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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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27 results

Time (local)	Label
2013-06-30 19:53:02	wofs_ls_194054_2013-06-30.stac-item
2014-03-18 18:32:47	wofs_ls_181058_2014-03-18.stac-item
2014-08-23 17:11:52	wofs_ls_167073_2014-08-23.stac-item
2015-02-06 18:51:11	wofs_ls_184059_2015-02-06.stac-item
2015-10-27 18:59:08	wofs_ls_185063_2015-10-27.stac-item
2016-07-13 20:09:33	wofs_ls_197054_2016-07-13.stac-item
2018-05-04 19:44:02	wofs_ls_193054_2018-05-04.stac-item
2018-11-07 17:50:59	wofs_ls_174063_2018-11-07.stac-item
2019-05-22 18:56:06	wofs_ls_186041_2019-05-22.stac-item
2019-06-27 20:16:05	wofs_ls_198055_2019-06-27.stac-item
2019-12-12 17:48:10	wofs_ls_174055_2019-12-12.stac-item
2020-08-12 17:23:55	wofs_ls_170057_2020-08-12.stac-item
2020-11-21 17:47:59	wofs_ls_173070_2020-11-21.stac-item
2021-01-20 16:26:52	wofs_ls_161053_2021-01-20.stac-item
2021-02-20 20:40:58	wofs_ls_202055_2021-02-20.stac-item
2021-11-18 18:10:55	wofs_ls_177063_2021-11-18.stac-item
2022-01-11 18:31:46	wofs_ls_181056_2022-01-11.stac-item
2022-04-23 17:56:59	wofs_ls_175063_2022-04-23.stac-item
2022-06-08 17:19:51	wofs_ls_169062_2022-06-08.stac-item
2022-07-13 18:42:18	wofs_ls_182068_2022-07-13.stac-item
2022-08-16 17:35:38	wofs_ls_172054_2022-08-16.stac-item
2022-09-07 17:46:30	wofs_ls_174051_2022-09-07.stac-item
2022-10-01 20:16:57	wofs_ls_198056_2022-10-01.stac-item
2022-10-08 17:57:25	wofs_ls_175062_2022-10-08.stac-item
2022-12-18 18:03:04	wofs_ls_176061_2022-12-18.stac-item
2023-04-17 20:28:53	wofs_ls_200057_2023-04-17.stac-item
2023-08-18 18:30:41	wofs_ls_181054_2023-08-18.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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