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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
2013-08-26 19:46:56	wofs_ls_193054_2013-08-26.stac-item
2014-03-10 17:43:26	wofs_ls_173058_2014-03-10.stac-item
2014-04-25 18:00:40	wofs_ls_175072_2014-04-25.stac-item
2015-05-16 19:16:24	wofs_ls_189047_2015-05-16.stac-item
2015-06-14 17:07:40	wofs_ls_168049_2015-06-14.stac-item
2015-07-26 17:50:16	wofs_ls_174062_2015-07-26.stac-item
2015-11-07 16:58:56	wofs_ls_166056_2015-11-07.stac-item
2016-05-20 20:45:06	wofs_ls_203051_2016-05-20.stac-item
2017-08-31 17:13:29	wofs_ls_167077_2017-08-31.stac-item
2018-09-04 17:49:50	wofs_ls_174061_2018-09-04.stac-item
2018-11-10 18:19:30	wofs_ls_179057_2018-11-10.stac-item
2019-02-01 17:21:19	wofs_ls_168082_2019-02-01.stac-item
2020-04-10 17:01:39	wofs_ls_166064_2020-04-10.stac-item
2020-05-04 17:47:18	wofs_ls_174055_2020-05-04.stac-item
2020-06-18 20:34:25	wofs_ls_201055_2020-06-18.stac-item
2021-04-14 17:44:34	wofs_ls_173063_2021-04-14.stac-item
2021-08-25 19:38:30	wofs_ls_192053_2021-08-25.stac-item
2022-01-14 19:01:52	wofs_ls_186054_2022-01-14.stac-item
2022-02-15 18:19:26	wofs_ls_178072_2022-02-15.stac-item
2022-08-17 20:44:55	wofs_ls_203049_2022-08-17.stac-item
2022-12-13 17:50:34	wofs_ls_173076_2022-12-13.stac-item
2023-04-19 19:25:01	wofs_ls_190051_2023-04-19.stac-item
2024-01-15 18:44:58	wofs_ls_183058_2024-01-15.stac-item
2024-01-17 17:48:35	wofs_ls_173072_2024-01-17.stac-item
2024-03-15 18:15:48	wofs_ls_179048_2024-03-15.stac-item
2024-04-09 15:49:01	wofs_ls_154067_2024-04-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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