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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:

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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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35 results

Time (local)	Label
2014-02-18 16:28:21	wofs_ls_161055_2014-02-18.stac-item
2015-01-25 16:51:12	wofs_ls_164068_2015-01-25.stac-item
2015-07-27 18:31:32	wofs_ls_181057_2015-07-27.stac-item
2015-08-11 19:23:38	wofs_ls_190048_2015-08-11.stac-item
2015-10-26 19:50:46	wofs_ls_194053_2015-10-26.stac-item
2016-03-24 17:30:28	wofs_ls_172043_2016-03-24.stac-item
2016-04-07 16:15:00	wofs_ls_158071_2016-04-07.stac-item
2016-04-12 18:05:37	wofs_ls_177054_2016-04-12.stac-item
2016-05-30 16:27:35	wofs_ls_161056_2016-05-30.stac-item
2016-07-04 20:08:30	wofs_ls_198036_2016-07-04.stac-item
2016-10-11 17:40:24	wofs_ls_171082_2016-10-11.stac-item
2017-12-23 18:26:09	wofs_ls_181042_2017-12-23.stac-item
2018-05-30 17:01:25	wofs_ls_167050_2018-05-30.stac-item
2018-09-07 18:14:22	wofs_ls_179045_2018-09-07.stac-item
2019-05-29 20:39:38	wofs_ls_203037_2019-05-29.stac-item
2019-07-16 15:56:46	wofs_ls_155071_2019-07-16.stac-item
2020-01-23 18:32:16	wofs_ls_180073_2020-01-23.stac-item
2020-05-19 18:44:31	wofs_ls_183059_2020-05-19.stac-item
2020-09-09 19:24:34	wofs_ls_190049_2020-09-09.stac-item
2020-10-02 19:32:03	wofs_ls_191052_2020-10-02.stac-item
2021-03-08 19:02:21	wofs_ls_186056_2021-03-08.stac-item
2022-08-13 20:20:30	wofs_ls_199049_2022-08-13.stac-item
2022-09-10 21:34:23	wofs_ls_211049_2022-09-10.stac-item
2022-11-04 19:14:38	wofs_ls_188054_2022-11-04.stac-item
2022-12-13 16:51:30	wofs_ls_165052_2022-12-13.stac-item
2023-01-02 17:27:45	wofs_ls_169081_2023-01-02.stac-item
2023-01-04 17:56:06	wofs_ls_175059_2023-01-04.stac-item
2023-02-16 19:10:27	wofs_ls_188044_2023-02-16.stac-item
2023-03-15 19:45:39	wofs_ls_193056_2023-03-15.stac-item
2023-04-12 20:05:12	wofs_ls_197044_2023-04-12.stac-item
2023-05-03 20:20:50	wofs_ls_200037_2023-05-03.stac-item
2023-09-14 18:12:14	wofs_ls_178054_2023-09-14.stac-item
2024-02-25 18:44:35	wofs_ls_182073_2024-02-25.stac-item
2024-02-29 17:34:42	wofs_ls_170084_2024-02-29.stac-item
2024-06-12 20:31:50	wofs_ls_202034_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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