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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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33 results

Time (local)	Label
2013-05-22 18:01:40	wofs_ls_177038_2013-05-22.stac-item
2013-08-03 19:39:08	wofs_ls_192050_2013-08-03.stac-item
2013-09-09 18:24:22	wofs_ls_179064_2013-09-09.stac-item
2016-05-02 17:43:42	wofs_ls_173061_2016-05-02.stac-item
2017-07-19 17:20:13	wofs_ls_170048_2017-07-19.stac-item
2017-08-13 15:46:06	wofs_ls_153075_2017-08-13.stac-item
2017-08-18 15:59:52	wofs_ls_156063_2017-08-18.stac-item
2019-07-28 18:04:51	wofs_ls_175082_2019-07-28.stac-item
2019-08-02 18:11:03	wofs_ls_178051_2019-08-02.stac-item
2019-10-24 20:21:34	wofs_ls_199052_2019-10-24.stac-item
2020-04-09 21:05:53	wofs_ls_207041_2020-04-09.stac-item
2020-06-24 18:19:41	wofs_ls_179058_2020-06-24.stac-item
2021-01-05 20:28:24	wofs_ls_200054_2021-01-05.stac-item
2021-12-11 19:17:07	wofs_ls_188061_2021-12-11.stac-item
2022-01-05 17:30:00	wofs_ls_171056_2022-01-05.stac-item
2022-02-20 17:35:27	wofs_ls_173039_2022-02-20.stac-item
2022-03-09 20:01:28	wofs_ls_196049_2022-03-09.stac-item
2022-04-16 18:31:10	wofs_ls_182040_2022-04-16.stac-item
2022-09-09 17:35:44	wofs_ls_172055_2022-09-09.stac-item
2022-11-01 16:21:34	wofs_ls_159070_2022-11-01.stac-item
2022-11-24 19:35:35	wofs_ls_192045_2022-11-24.stac-item
2022-11-25 17:47:26	wofs_ls_175037_2022-11-25.stac-item
2023-02-10 18:17:53	wofs_ls_178067_2023-02-10.stac-item
2023-02-10 18:17:53	wofs_ls_178067_2023-02-10.stac-item
2023-02-18 20:32:57	wofs_ls_202034_2023-02-18.stac-item
2023-04-09 20:23:41	wofs_ls_200043_2023-04-09.stac-item
2023-04-17 17:07:56	wofs_ls_168049_2023-04-17.stac-item
2023-07-19 19:06:13	wofs_ls_187051_2023-07-19.stac-item
2023-07-26 17:31:55	wofs_ls_172047_2023-07-26.stac-item
2023-09-11 19:19:24	wofs_ls_189052_2023-09-11.stac-item
2024-01-20 19:45:59	wofs_ls_194041_2024-01-20.stac-item
2024-02-14 18:49:20	wofs_ls_185038_2024-02-14.stac-item
2024-03-11 18:50:31	wofs_ls_183073_2024-03-11.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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