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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
2013-08-06 18:37:55	wofs_ls_181067_2013-08-06.stac-item
2013-12-31 17:20:34	wofs_ls_170045_2013-12-31.stac-item
2014-01-26 16:21:40	wofs_ls_160053_2014-01-26.stac-item
2014-04-05 16:39:16	wofs_ls_163053_2014-04-05.stac-item
2015-02-20 17:28:32	wofs_ls_170069_2015-02-20.stac-item
2015-04-01 18:19:58	wofs_ls_178075_2015-04-01.stac-item
2015-04-29 18:37:22	wofs_ls_182057_2015-04-29.stac-item
2016-03-03 20:31:26	wofs_ls_201047_2016-03-03.stac-item
2016-04-24 16:56:08	wofs_ls_165066_2016-04-24.stac-item
2016-10-28 16:33:39	wofs_ls_162054_2016-10-28.stac-item
2017-03-21 16:32:34	wofs_ls_162053_2017-03-21.stac-item
2017-10-06 18:21:01	wofs_ls_179060_2017-10-06.stac-item
2018-03-30 19:15:27	wofs_ls_188059_2018-03-30.stac-item
2018-05-01 15:58:59	wofs_ls_156063_2018-05-01.stac-item
2018-12-28 18:17:51	wofs_ls_179053_2018-12-28.stac-item
2019-12-07 20:40:14	wofs_ls_203037_2019-12-07.stac-item
2020-02-05 19:25:25	wofs_ls_191036_2020-02-05.stac-item
2021-02-27 19:01:50	wofs_ls_187039_2021-02-27.stac-item
2021-06-10 20:48:18	wofs_ls_204043_2021-06-10.stac-item
2021-06-23 18:43:22	wofs_ls_183055_2021-06-23.stac-item
2021-11-10 17:50:49	wofs_ls_173072_2021-11-10.stac-item
2022-03-15 17:01:33	wofs_ls_166063_2022-03-15.stac-item
2022-07-15 19:16:36	wofs_ls_188060_2022-07-15.stac-item
2022-09-23 16:16:54	wofs_ls_158074_2022-09-23.stac-item
2022-10-26 20:57:41	wofs_ls_205049_2022-10-26.stac-item
2022-11-22 17:23:41	wofs_ls_170055_2022-11-22.stac-item
2023-01-04 19:34:11	wofs_ls_191057_2023-01-04.stac-item
2023-01-30 18:38:21	wofs_ls_181072_2023-01-30.stac-item
2023-03-27 16:52:04	wofs_ls_165055_2023-03-27.stac-item
2023-04-27 16:58:13	wofs_ls_166055_2023-04-27.stac-item
2024-03-24 18:15:04	wofs_ls_178062_2024-03-24.stac-item
2024-06-12 18:53:45	wofs_ls_186036_2024-06-12.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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