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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:

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:

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Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-10-04 18:17:40	wofs_ls_178063_2013-10-04.stac-item
2013-12-19 18:42:22	wofs_ls_182064_2013-12-19.stac-item
2014-02-15 17:42:20	wofs_ls_172070_2014-02-15.stac-item
2014-03-13 18:13:55	wofs_ls_178057_2014-03-13.stac-item
2015-01-17 17:41:06	wofs_ls_172069_2015-01-17.stac-item
2015-02-21 19:41:55	wofs_ls_193047_2015-02-21.stac-item
2016-04-28 21:20:57	wofs_ls_209048_2016-04-28.stac-item
2016-05-13 19:03:33	wofs_ls_186060_2016-05-13.stac-item
2016-08-31 19:13:46	wofs_ls_188053_2016-08-31.stac-item
2016-09-02 19:03:49	wofs_ls_186059_2016-09-02.stac-item
2017-02-10 18:09:57	wofs_ls_177064_2017-02-10.stac-item
2017-04-02 17:03:11	wofs_ls_166068_2017-04-02.stac-item
2017-07-24 20:57:46	wofs_ls_205051_2017-07-24.stac-item
2017-10-16 17:17:39	wofs_ls_169056_2017-10-16.stac-item
2018-04-07 18:30:19	wofs_ls_180070_2018-04-07.stac-item
2018-05-18 19:47:52	wofs_ls_195033_2018-05-18.stac-item
2019-06-15 19:52:30	wofs_ls_194058_2019-06-15.stac-item
2020-06-19 17:59:07	wofs_ls_176053_2020-06-19.stac-item
2021-01-03 17:27:24	wofs_ls_170065_2021-01-03.stac-item
2021-06-25 20:07:54	wofs_ls_197050_2021-06-25.stac-item
2022-01-16 18:02:50	wofs_ls_176061_2022-01-16.stac-item
2022-02-09 18:06:03	wofs_ls_176069_2022-02-09.stac-item
2022-04-09 17:47:35	wofs_ls_173070_2022-04-09.stac-item
2022-06-14 20:39:32	wofs_ls_203037_2022-06-14.stac-item
2022-07-14 20:11:26	wofs_ls_197058_2022-07-14.stac-item
2022-11-04 17:39:20	wofs_ls_172063_2022-11-04.stac-item
2023-07-14 18:01:32	wofs_ls_176059_2023-07-14.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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