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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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32 results

Time (local)	Label
2013-05-21 20:41:45	wofs_ls_202052_2013-05-21.stac-item
2013-09-14 17:03:12	wofs_ls_166062_2013-09-14.stac-item
2014-05-19 17:03:43	wofs_ls_167054_2014-05-19.stac-item
2016-10-29 18:55:48	wofs_ls_185054_2016-10-29.stac-item
2017-05-31 16:40:41	wofs_ls_163058_2017-05-31.stac-item
2017-06-24 19:05:10	wofs_ls_187048_2017-06-24.stac-item
2018-04-03 17:14:12	wofs_ls_168065_2018-04-03.stac-item
2018-04-21 17:04:03	wofs_ls_166071_2018-04-21.stac-item
2018-04-29 17:42:16	wofs_ls_174043_2018-04-29.stac-item
2018-10-13 16:21:46	wofs_ls_159072_2018-10-13.stac-item
2018-10-31 20:54:59	wofs_ls_205044_2018-10-31.stac-item
2019-03-06 17:55:18	wofs_ls_175059_2019-03-06.stac-item
2019-03-08 17:47:18	wofs_ls_173070_2019-03-08.stac-item
2019-08-05 17:02:42	wofs_ls_167050_2019-08-05.stac-item
2019-10-11 17:41:04	wofs_ls_172068_2019-10-11.stac-item
2020-11-25 17:20:05	wofs_ls_169062_2020-11-25.stac-item
2020-12-20 17:10:43	wofs_ls_168054_2020-12-20.stac-item
2021-01-21 20:21:08	wofs_ls_200036_2021-01-21.stac-item
2021-10-30 17:55:05	wofs_ls_174072_2021-10-30.stac-item
2021-12-07 17:55:50	wofs_ls_176043_2021-12-07.stac-item
2022-02-20 16:56:16	wofs_ls_165065_2022-02-20.stac-item
2022-02-28 20:01:41	wofs_ls_197034_2022-02-28.stac-item
2022-02-28 20:05:16	wofs_ls_197043_2022-02-28.stac-item
2022-04-30 19:32:05	wofs_ls_192038_2022-04-30.stac-item
2022-05-07 17:27:12	wofs_ls_169081_2022-05-07.stac-item
2022-05-31 20:34:15	wofs_ls_201055_2022-05-31.stac-item
2022-06-28 17:43:58	wofs_ls_173061_2022-06-28.stac-item
2022-07-08 19:00:53	wofs_ls_187036_2022-07-08.stac-item
2022-08-21 20:19:48	wofs_ls_199048_2022-08-21.stac-item
2023-02-24 18:32:00	wofs_ls_180072_2023-02-24.stac-item
2023-05-15 17:44:45	wofs_ls_172080_2023-05-15.stac-item
2024-03-26 19:35:57	wofs_ls_192048_2024-03-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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