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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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36 results

Time (local)	Label
2013-07-17 15:47:38	wofs_ls_153074_2013-07-17.stac-item
2014-02-02 19:45:56	wofs_ls_193054_2014-02-02.stac-item
2014-06-18 17:19:28	wofs_ls_169062_2014-06-18.stac-item
2015-03-24 20:34:28	wofs_ls_202040_2015-03-24.stac-item
2016-02-15 18:20:06	wofs_ls_178074_2016-02-15.stac-item
2016-10-28 18:20:55	wofs_ls_178075_2016-10-28.stac-item
2017-05-07 17:25:52	wofs_ls_171048_2017-05-07.stac-item
2017-12-25 19:55:27	wofs_ls_195049_2017-12-25.stac-item
2018-04-06 20:54:28	wofs_ls_205044_2018-04-06.stac-item
2018-04-25 19:51:53	wofs_ls_194058_2018-04-25.stac-item
2018-08-28 16:05:31	wofs_ls_157063_2018-08-28.stac-item
2018-11-29 20:26:29	wofs_ls_200050_2018-11-29.stac-item
2019-05-16 16:27:42	wofs_ls_160072_2019-05-16.stac-item
2019-07-18 18:55:24	wofs_ls_185054_2019-07-18.stac-item
2020-11-28 19:27:30	wofs_ls_190056_2020-11-28.stac-item
2020-12-11 17:20:30	wofs_ls_169063_2020-12-11.stac-item
2021-02-13 20:35:13	wofs_ls_201056_2021-02-13.stac-item
2021-09-06 18:25:36	wofs_ls_180056_2021-09-06.stac-item
2021-10-17 16:41:54	wofs_ls_163059_2021-10-17.stac-item
2021-12-21 16:32:48	wofs_ls_162052_2021-12-21.stac-item
2022-03-03 19:43:07	wofs_ls_194034_2022-03-03.stac-item
2022-05-03 20:02:10	wofs_ls_197036_2022-05-03.stac-item
2022-08-04 17:59:56	wofs_ls_176054_2022-08-04.stac-item
2022-10-24 20:21:14	wofs_ls_199051_2022-10-24.stac-item
2022-12-06 17:31:41	wofs_ls_172044_2022-12-06.stac-item
2023-01-21 17:57:46	wofs_ls_174079_2023-01-21.stac-item
2023-03-11 17:39:02	wofs_ls_173048_2023-03-11.stac-item
2023-04-07 17:24:17	wofs_ls_170058_2023-04-07.stac-item
2023-04-16 19:45:14	wofs_ls_193056_2023-04-16.stac-item
2023-05-01 20:39:11	wofs_ls_202052_2023-05-01.stac-item
2023-07-07 16:24:01	wofs_ls_159078_2023-07-07.stac-item
2023-07-13 18:10:00	wofs_ls_177065_2023-07-13.stac-item
2024-04-14 18:36:39	wofs_ls_181070_2024-04-14.stac-item
2024-04-19 17:07:51	wofs_ls_168049_2024-04-19.stac-item
2024-04-30 19:13:49	wofs_ls_189039_2024-04-30.stac-item
2024-06-15 18:36:14	wofs_ls_183039_2024-06-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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