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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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26 results

Time (local)	Label
2014-01-17 18:13:32	wofs_ls_177070_2014-01-17.stac-item
2015-05-01 18:28:34	wofs_ls_180066_2015-05-01.stac-item
2017-05-05 16:08:05	wofs_ls_157070_2017-05-05.stac-item
2018-04-22 16:06:02	wofs_ls_157065_2018-04-22.stac-item
2018-09-22 17:37:33	wofs_ls_172061_2018-09-22.stac-item
2018-12-25 21:02:19	wofs_ls_206047_2018-12-25.stac-item
2019-03-19 17:27:55	wofs_ls_170068_2019-03-19.stac-item
2019-03-21 20:26:32	wofs_ls_200051_2019-03-21.stac-item
2019-05-19 18:31:32	wofs_ls_181057_2019-05-19.stac-item
2020-06-09 17:33:54	wofs_ls_170083_2020-06-09.stac-item
2020-06-22 20:09:20	wofs_ls_197054_2020-06-22.stac-item
2020-11-15 18:19:27	wofs_ls_179056_2020-11-15.stac-item
2021-01-17 17:43:14	wofs_ls_172074_2021-01-17.stac-item
2021-04-04 17:11:56	wofs_ls_167074_2021-04-04.stac-item
2021-09-19 16:20:38	wofs_ls_159068_2021-09-19.stac-item
2021-11-12 20:26:44	wofs_ls_201034_2021-11-12.stac-item
2021-12-17 17:43:49	wofs_ls_174044_2021-12-17.stac-item
2022-02-21 18:31:04	wofs_ls_180070_2022-02-21.stac-item
2022-02-24 20:31:14	wofs_ls_201046_2022-02-24.stac-item
2022-04-15 17:59:52	wofs_ls_175070_2022-04-15.stac-item
2022-11-14 15:52:19	wofs_ls_154074_2022-11-14.stac-item
2022-11-15 17:25:05	wofs_ls_169074_2022-11-15.stac-item
2023-01-29 17:03:12	wofs_ls_166066_2023-01-29.stac-item
2023-03-27 20:10:38	wofs_ls_197057_2023-03-27.stac-item
2023-04-11 18:43:35	wofs_ls_182071_2023-04-11.stac-item
2024-03-23 19:56:34	wofs_ls_195052_2024-03-23.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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