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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

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Dataset URI:

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33 results

Time (local)	Label
2013-11-29 18:57:16	wofs_ls_186039_2013-11-29.stac-item
2014-01-24 16:35:14	wofs_ls_162056_2014-01-24.stac-item
2014-02-04 19:25:35	wofs_ls_191034_2014-02-04.stac-item
2014-05-27 17:53:35	wofs_ls_175055_2014-05-27.stac-item
2014-10-19 18:43:32	wofs_ls_182070_2014-10-19.stac-item
2015-05-12 16:25:46	wofs_ls_161053_2015-05-12.stac-item
2015-05-20 17:20:00	wofs_ls_169065_2015-05-20.stac-item
2015-06-14 20:21:04	wofs_ls_200038_2015-06-14.stac-item
2015-09-05 20:53:19	wofs_ls_205040_2015-09-05.stac-item
2016-03-19 18:48:52	wofs_ls_185038_2016-03-19.stac-item
2016-09-28 18:06:26	wofs_ls_176070_2016-09-28.stac-item
2016-10-11 15:54:44	wofs_ls_155065_2016-10-11.stac-item
2017-02-03 18:11:25	wofs_ls_176083_2017-02-03.stac-item
2017-03-06 15:45:52	wofs_ls_153075_2017-03-06.stac-item
2017-10-04 20:07:52	wofs_ls_197049_2017-10-04.stac-item
2018-11-07 16:13:18	wofs_ls_158066_2018-11-07.stac-item
2019-04-02 17:39:02	wofs_ls_172065_2019-04-02.stac-item
2020-01-02 16:26:56	wofs_ls_161053_2020-01-02.stac-item
2020-02-22 20:07:50	wofs_ls_198034_2020-02-22.stac-item
2021-04-22 20:08:03	wofs_ls_197051_2021-04-22.stac-item
2021-11-24 15:40:22	wofs_ls_152074_2021-11-24.stac-item
2022-04-12 19:46:58	wofs_ls_194044_2022-04-12.stac-item
2022-05-08 18:44:58	wofs_ls_184044_2022-05-08.stac-item
2022-06-04 17:44:55	wofs_ls_173063_2022-06-04.stac-item
2022-07-01 17:20:12	wofs_ls_170047_2022-07-01.stac-item
2022-07-04 17:56:41	wofs_ls_175061_2022-07-04.stac-item
2022-10-06 18:08:36	wofs_ls_177059_2022-10-06.stac-item
2023-01-30 19:12:59	wofs_ls_189035_2023-01-30.stac-item
2023-05-06 16:54:41	wofs_ls_165062_2023-05-06.stac-item
2023-06-13 17:04:51	wofs_ls_167057_2023-06-13.stac-item
2023-09-07 18:49:06	wofs_ls_185038_2023-09-07.stac-item
2024-03-22 18:31:03	wofs_ls_180071_2024-03-22.stac-item
2024-03-26 19:39:08	wofs_ls_192056_2024-03-26.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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