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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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35 results

Time (local)	Label
2014-08-07 17:03:26	wofs_ls_167052_2014-08-07.stac-item
2015-03-13 17:46:52	wofs_ls_173069_2015-03-13.stac-item
2015-09-09 17:14:51	wofs_ls_169050_2015-09-09.stac-item
2015-11-07 18:39:25	wofs_ls_182060_2015-11-07.stac-item
2016-01-03 16:58:43	wofs_ls_165071_2016-01-03.stac-item
2016-10-29 17:17:43	wofs_ls_169056_2016-10-29.stac-item
2017-12-06 17:54:00	wofs_ls_174070_2017-12-06.stac-item
2018-08-15 16:32:20	wofs_ls_162053_2018-08-15.stac-item
2019-02-10 18:42:51	wofs_ls_183054_2019-02-10.stac-item
2019-04-07 19:24:05	wofs_ls_191034_2019-04-07.stac-item
2019-06-12 17:52:16	wofs_ls_173082_2019-06-12.stac-item
2019-08-05 17:13:51	wofs_ls_167078_2019-08-05.stac-item
2020-01-06 17:46:40	wofs_ls_173067_2020-01-06.stac-item
2021-04-10 19:45:25	wofs_ls_193056_2021-04-10.stac-item
2021-07-16 17:18:17	wofs_ls_168074_2021-07-16.stac-item
2021-08-12 16:51:11	wofs_ls_165052_2021-08-12.stac-item
2021-11-22 17:26:39	wofs_ls_171046_2021-11-22.stac-item
2022-01-15 16:36:08	wofs_ls_161076_2022-01-15.stac-item
2022-01-17 17:49:31	wofs_ls_175043_2022-01-17.stac-item
2022-03-20 17:16:27	wofs_ls_169054_2022-03-20.stac-item
2022-04-08 16:59:56	wofs_ls_166059_2022-04-08.stac-item
2022-07-05 17:06:15	wofs_ls_166074_2022-07-05.stac-item
2022-08-26 17:33:45	wofs_ls_170081_2022-08-26.stac-item
2022-08-30 17:02:15	wofs_ls_166064_2022-08-30.stac-item
2022-09-10 18:27:23	wofs_ls_179076_2022-09-10.stac-item
2022-09-25 19:07:34	wofs_ls_188037_2022-09-25.stac-item
2022-10-18 17:40:56	wofs_ls_173052_2022-10-18.stac-item
2022-10-23 16:20:12	wofs_ls_160051_2022-10-23.stac-item
2022-12-04 17:48:26	wofs_ls_174055_2022-12-04.stac-item
2022-12-14 19:17:14	wofs_ls_188061_2022-12-14.stac-item
2023-01-08 19:08:16	wofs_ls_187054_2023-01-08.stac-item
2023-01-12 18:37:08	wofs_ls_183038_2023-01-12.stac-item
2023-06-17 19:54:20	wofs_ls_195048_2023-06-17.stac-item
2023-07-24 18:36:40	wofs_ls_182054_2023-07-24.stac-item
2023-08-19 20:00:26	wofs_ls_196047_2023-08-19.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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