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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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26 results

Time (local)	Label
2014-05-20 17:44:59	wofs_ls_174049_2014-05-20.stac-item
2014-09-02 16:04:54	wofs_ls_157060_2014-09-02.stac-item
2016-05-24 15:32:07	wofs_ls_151072_2016-05-24.stac-item
2016-06-02 17:06:28	wofs_ls_166076_2016-06-02.stac-item
2016-11-23 17:11:08	wofs_ls_168055_2016-11-23.stac-item
2017-02-11 18:42:27	wofs_ls_184037_2017-02-11.stac-item
2017-04-16 17:10:14	wofs_ls_168055_2017-04-16.stac-item
2017-04-28 20:48:36	wofs_ls_204045_2017-04-28.stac-item
2018-04-20 17:55:42	wofs_ls_175061_2018-04-20.stac-item
2019-01-01 18:00:42	wofs_ls_175072_2019-01-01.stac-item
2019-12-07 17:36:01	wofs_ls_171071_2019-12-07.stac-item
2019-12-26 18:09:15	wofs_ls_176077_2019-12-26.stac-item
2020-04-05 18:24:25	wofs_ls_179070_2020-04-05.stac-item
2021-01-24 17:50:36	wofs_ls_173077_2021-01-24.stac-item
2021-07-04 18:26:27	wofs_ls_180059_2021-07-04.stac-item
2021-11-14 18:36:17	wofs_ls_183036_2021-11-14.stac-item
2022-03-28 19:36:41	wofs_ls_193034_2022-03-28.stac-item
2022-05-25 17:06:08	wofs_ls_167059_2022-05-25.stac-item
2022-07-22 16:54:34	wofs_ls_165061_2022-07-22.stac-item
2022-08-13 17:55:50	wofs_ls_175059_2022-08-13.stac-item
2022-09-15 18:41:59	wofs_ls_182066_2022-09-15.stac-item
2022-12-06 20:48:15	wofs_ls_204041_2022-12-06.stac-item
2023-06-06 19:19:25	wofs_ls_190038_2023-06-06.stac-item
2023-07-09 16:57:48	wofs_ls_165070_2023-07-09.stac-item
2024-03-18 18:11:33	wofs_ls_176083_2024-03-18.stac-item
2024-06-01 18:34:34	wofs_ls_181066_2024-06-01.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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