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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:

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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:

The satellite relative orbit to (exclusive):

Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-06-25 16:24:40	wofs_ls_159074_2013-06-25.stac-item
2013-08-29 17:03:16	wofs_ls_166062_2013-08-29.stac-item
2013-11-09 19:28:30	wofs_ls_190055_2013-11-09.stac-item
2014-01-15 18:25:30	wofs_ls_179069_2014-01-15.stac-item
2014-01-25 18:59:22	wofs_ls_185061_2014-01-25.stac-item
2014-10-31 15:48:49	wofs_ls_154066_2014-10-31.stac-item
2016-02-12 20:58:13	wofs_ls_205052_2016-02-12.stac-item
2016-08-05 17:01:38	wofs_ls_166063_2016-08-05.stac-item
2017-10-22 19:59:09	wofs_ls_195058_2017-10-22.stac-item
2019-04-08 18:29:39	wofs_ls_182037_2019-04-08.stac-item
2020-04-22 17:27:05	wofs_ls_170066_2020-04-22.stac-item
2020-09-30 16:32:37	wofs_ls_161067_2020-09-30.stac-item
2020-10-19 17:01:33	wofs_ls_166062_2020-10-19.stac-item
2020-12-12 18:03:46	wofs_ls_176063_2020-12-12.stac-item
2021-02-16 17:47:08	wofs_ls_174053_2021-02-16.stac-item
2021-10-12 19:40:19	wofs_ls_192057_2021-10-12.stac-item
2021-11-20 16:16:41	wofs_ls_158071_2021-11-20.stac-item
2021-11-20 16:16:41	wofs_ls_158071_2021-11-20.stac-item
2022-01-25 18:36:35	wofs_ls_183037_2022-01-25.stac-item
2022-06-20 18:30:52	wofs_ls_181055_2022-06-20.stac-item
2022-08-01 16:40:19	wofs_ls_163055_2022-08-01.stac-item
2022-09-01 20:02:28	wofs_ls_196051_2022-09-01.stac-item
2023-01-30 18:31:35	wofs_ls_181055_2023-01-30.stac-item
2023-02-11 17:21:51	wofs_ls_169066_2023-02-11.stac-item
2023-03-26 17:50:53	wofs_ls_174063_2023-03-26.stac-item
2023-05-26 18:14:39	wofs_ls_177077_2023-05-26.stac-item
2024-05-20 17:14:02	wofs_ls_169049_2024-05-20.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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