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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:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

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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:

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Acquisition time range From

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40 results

Time (local)	Label
2014-05-07 18:14:01	wofs_ls_179044_2014-05-07.stac-item
2015-01-16 20:02:28	wofs_ls_197036_2015-01-16.stac-item
2015-01-25 16:48:00	wofs_ls_164060_2015-01-25.stac-item
2015-02-23 16:20:09	wofs_ls_159068_2015-02-23.stac-item
2015-08-30 18:20:58	wofs_ls_179061_2015-08-30.stac-item
2015-11-01 17:47:11	wofs_ls_172084_2015-11-01.stac-item
2016-01-13 20:40:00	wofs_ls_203037_2016-01-13.stac-item
2016-05-10 16:51:00	wofs_ls_165053_2016-05-10.stac-item
2016-05-11 19:12:44	wofs_ls_188052_2016-05-11.stac-item
2016-07-23 17:24:56	wofs_ls_171044_2016-07-23.stac-item
2016-09-08 16:48:16	wofs_ls_164060_2016-09-08.stac-item
2017-04-10 17:48:34	wofs_ls_174058_2017-04-10.stac-item
2017-04-22 21:27:20	wofs_ls_210049_2017-04-22.stac-item
2017-05-04 18:31:01	wofs_ls_182041_2017-05-04.stac-item
2017-08-10 19:58:41	wofs_ls_196042_2017-08-10.stac-item
2017-09-28 19:06:50	wofs_ls_187051_2017-09-28.stac-item
2019-03-14 18:43:05	wofs_ls_183055_2019-03-14.stac-item
2019-06-01 16:29:51	wofs_ls_160077_2019-06-01.stac-item
2019-06-10 21:06:02	wofs_ls_207041_2019-06-10.stac-item
2019-09-06 20:21:00	wofs_ls_199051_2019-09-06.stac-item
2019-11-08 17:55:49	wofs_ls_176043_2019-11-08.stac-item
2020-03-26 19:12:22	wofs_ls_189035_2020-03-26.stac-item
2020-07-27 17:28:39	wofs_ls_170069_2020-07-27.stac-item
2020-11-15 18:12:17	wofs_ls_179038_2020-11-15.stac-item
2021-06-03 19:09:10	wofs_ls_187058_2021-06-03.stac-item
2021-08-28 18:29:21	wofs_ls_181050_2021-08-28.stac-item
2021-09-10 19:31:25	wofs_ls_192035_2021-09-10.stac-item
2022-02-05 18:24:01	wofs_ls_180052_2022-02-05.stac-item
2022-06-28 17:38:47	wofs_ls_173048_2022-06-28.stac-item
2022-10-01 16:14:00	wofs_ls_158066_2022-10-01.stac-item
2022-10-20 17:34:10	wofs_ls_171066_2022-10-20.stac-item
2022-12-30 16:45:41	wofs_ls_164053_2022-12-30.stac-item
2023-01-14 19:17:19	wofs_ls_189046_2023-01-14.stac-item
2023-01-25 18:20:32	wofs_ls_178074_2023-01-25.stac-item
2023-02-27 17:28:00	wofs_ls_169082_2023-02-27.stac-item
2023-03-03 17:50:30	wofs_ls_173077_2023-03-03.stac-item
2023-04-10 16:21:27	wofs_ls_159071_2023-04-10.stac-item
2023-05-07 17:38:45	wofs_ls_172064_2023-05-07.stac-item
2024-02-27 18:26:16	wofs_ls_180058_2024-02-27.stac-item
2024-03-23 20:44:01	wofs_ls_203048_2024-03-23.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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