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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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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35 results

Time (local)	Label
2013-12-25 18:05:16	wofs_ls_176064_2013-12-25.stac-item
2014-04-28 18:29:31	wofs_ls_180067_2014-04-28.stac-item
2014-12-22 15:26:03	wofs_ls_150071_2014-12-22.stac-item
2015-01-07 17:00:28	wofs_ls_166060_2015-01-07.stac-item
2016-04-08 20:06:51	wofs_ls_197048_2016-04-08.stac-item
2016-05-09 17:59:00	wofs_ls_174084_2016-05-09.stac-item
2016-06-10 17:49:09	wofs_ls_174059_2016-06-10.stac-item
2016-08-16 18:28:25	wofs_ls_179079_2016-08-16.stac-item
2017-02-13 18:33:40	wofs_ls_182046_2017-02-13.stac-item
2017-03-18 20:53:34	wofs_ls_205041_2017-03-18.stac-item
2017-04-27 16:50:46	wofs_ls_165053_2017-04-27.stac-item
2017-05-24 18:11:43	wofs_ls_178054_2017-05-24.stac-item
2017-09-27 18:30:44	wofs_ls_180069_2017-09-27.stac-item
2017-10-02 18:48:07	wofs_ls_183066_2017-10-02.stac-item
2017-12-24 20:51:28	wofs_ls_204050_2017-12-24.stac-item
2018-04-16 16:44:22	wofs_ls_163068_2018-04-16.stac-item
2018-08-05 17:34:27	wofs_ls_172054_2018-08-05.stac-item
2018-12-05 18:12:29	wofs_ls_178055_2018-12-05.stac-item
2020-09-09 19:24:58	wofs_ls_190050_2020-09-09.stac-item
2021-01-13 18:02:25	wofs_ls_176060_2021-01-13.stac-item
2021-12-12 17:33:16	wofs_ls_171064_2021-12-12.stac-item
2021-12-15 17:08:17	wofs_ls_168048_2021-12-15.stac-item
2022-01-01 16:22:37	wofs_ls_159073_2022-01-01.stac-item
2022-05-28 16:44:23	wofs_ls_164052_2022-05-28.stac-item
2022-06-11 16:17:05	wofs_ls_158075_2022-06-11.stac-item
2022-07-20 16:23:26	wofs_ls_159075_2022-07-20.stac-item
2022-10-15 18:43:20	wofs_ls_184038_2022-10-15.stac-item
2022-12-02 19:37:17	wofs_ls_192049_2022-12-02.stac-item
2022-12-16 18:16:15	wofs_ls_178063_2022-12-16.stac-item
2023-01-21 21:00:23	wofs_ls_206041_2023-01-21.stac-item
2023-02-15 20:08:29	wofs_ls_197050_2023-02-15.stac-item
2023-03-22 19:00:56	wofs_ls_186052_2023-03-22.stac-item
2023-05-20 18:43:50	wofs_ls_183057_2023-05-20.stac-item
2023-06-17 19:09:08	wofs_ls_187059_2023-06-17.stac-item
2024-03-26 17:20:49	wofs_ls_168080_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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