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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
2013-11-29 17:30:21	wofs_ls_170069_2013-11-29.stac-item
2014-02-10 20:35:39	wofs_ls_201055_2014-02-10.stac-item
2014-05-18 16:29:38	wofs_ls_160077_2014-05-18.stac-item
2014-05-21 16:56:56	wofs_ls_165068_2014-05-21.stac-item
2015-01-03 18:55:18	wofs_ls_186038_2015-01-03.stac-item
2015-12-18 18:38:27	wofs_ls_181073_2015-12-18.stac-item
2016-04-09 17:36:19	wofs_ls_172058_2016-04-09.stac-item
2016-10-22 17:10:20	wofs_ls_168053_2016-10-22.stac-item
2017-06-27 19:30:31	wofs_ls_192034_2017-06-27.stac-item
2017-07-06 17:51:51	wofs_ls_175050_2017-07-06.stac-item
2017-07-06 21:06:02	wofs_ls_207041_2017-07-06.stac-item
2019-03-04 17:59:42	wofs_ls_177039_2019-03-04.stac-item
2019-07-13 18:40:50	wofs_ls_182064_2019-07-13.stac-item
2019-08-28 17:12:58	wofs_ls_168060_2019-08-28.stac-item
2020-06-15 18:25:24	wofs_ls_180057_2020-06-15.stac-item
2020-08-28 15:52:22	wofs_ls_154075_2020-08-28.stac-item
2020-10-21 15:15:05	wofs_ls_148074_2020-10-21.stac-item
2021-02-24 18:43:43	wofs_ls_182071_2021-02-24.stac-item
2022-01-22 16:35:10	wofs_ls_162058_2022-01-22.stac-item
2022-01-25 17:56:36	wofs_ls_175061_2022-01-25.stac-item
2022-03-06 17:55:40	wofs_ls_175059_2022-03-06.stac-item
2022-04-30 18:44:16	wofs_ls_184042_2022-04-30.stac-item
2022-08-21 17:08:25	wofs_ls_167064_2022-08-21.stac-item
2022-09-14 16:20:14	wofs_ls_159067_2022-09-14.stac-item
2022-09-14 16:21:26	wofs_ls_159070_2022-09-14.stac-item
2022-09-14 16:21:26	wofs_ls_159070_2022-09-14.stac-item
2022-10-01 17:03:34	wofs_ls_166067_2022-10-01.stac-item
2023-01-11 18:53:38	wofs_ls_184064_2023-01-11.stac-item
2023-03-08 17:19:19	wofs_ls_168076_2023-03-08.stac-item
2023-09-07 20:27:59	wofs_ls_201038_2023-09-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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