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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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30 results

Time (local)	Label
2013-06-22 17:23:04	wofs_ls_170050_2013-06-22.stac-item
2015-01-25 18:18:08	wofs_ls_180038_2015-01-25.stac-item
2015-04-04 20:14:11	wofs_ls_199036_2015-04-04.stac-item
2015-09-03 16:20:10	wofs_ls_159068_2015-09-03.stac-item
2016-03-14 17:01:03	wofs_ls_166062_2016-03-14.stac-item
2016-03-22 16:16:19	wofs_ls_158074_2016-03-22.stac-item
2016-05-28 16:40:43	wofs_ls_163058_2016-05-28.stac-item
2016-10-09 20:54:58	wofs_ls_205043_2016-10-09.stac-item
2016-11-04 19:58:48	wofs_ls_195057_2016-11-04.stac-item
2017-01-31 20:45:09	wofs_ls_203050_2017-01-31.stac-item
2017-05-14 19:13:25	wofs_ls_188054_2017-05-14.stac-item
2017-11-28 16:57:47	wofs_ls_166053_2017-11-28.stac-item
2018-08-27 17:05:56	wofs_ls_166075_2018-08-27.stac-item
2018-12-05 19:52:34	wofs_ls_194058_2018-12-05.stac-item
2019-11-25 20:23:29	wofs_ls_199057_2019-11-25.stac-item
2021-01-13 19:33:20	wofs_ls_192040_2021-01-13.stac-item
2021-10-22 20:15:02	wofs_ls_198051_2021-10-22.stac-item
2022-02-03 17:54:23	wofs_ls_174071_2022-02-03.stac-item
2022-04-18 20:49:53	wofs_ls_204047_2022-04-18.stac-item
2022-07-18 17:18:01	wofs_ls_169058_2022-07-18.stac-item
2022-10-30 17:28:23	wofs_ls_169082_2022-10-30.stac-item
2022-11-16 17:20:02	wofs_ls_168077_2022-11-16.stac-item
2022-12-24 18:14:58	wofs_ls_178060_2022-12-24.stac-item
2023-02-01 19:06:12	wofs_ls_187049_2023-02-01.stac-item
2023-05-04 17:54:41	wofs_ls_175058_2023-05-04.stac-item
2023-06-14 17:00:33	wofs_ls_166062_2023-06-14.stac-item
2023-09-12 17:39:10	wofs_ls_172064_2023-09-12.stac-item
2024-01-21 18:11:26	wofs_ls_177067_2024-01-21.stac-item
2024-02-06 17:25:03	wofs_ls_169075_2024-02-06.stac-item
2024-06-09 20:03:22	wofs_ls_197040_2024-06-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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