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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:

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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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29 results

Time (local)	Label
2013-06-01 20:20:50	wofs_ls_199046_2013-06-01.stac-item
2013-06-23 18:06:44	wofs_ls_177051_2013-06-23.stac-item
2015-03-15 17:40:29	wofs_ls_171084_2015-03-15.stac-item
2015-07-10 19:23:04	wofs_ls_190047_2015-07-10.stac-item
2015-09-08 19:48:57	wofs_ls_194049_2015-09-08.stac-item
2016-07-23 17:26:32	wofs_ls_171048_2016-07-23.stac-item
2017-10-18 17:11:41	wofs_ls_167072_2017-10-18.stac-item
2018-09-05 16:57:24	wofs_ls_165069_2018-09-05.stac-item
2019-08-23 20:07:00	wofs_ls_197047_2019-08-23.stac-item
2019-10-30 18:14:23	wofs_ls_177074_2019-10-30.stac-item
2019-11-20 16:48:23	wofs_ls_164060_2019-11-20.stac-item
2021-09-28 17:58:59	wofs_ls_174082_2021-09-28.stac-item
2021-11-08 18:13:57	wofs_ls_176083_2021-11-08.stac-item
2021-11-13 18:12:26	wofs_ls_177073_2021-11-13.stac-item
2021-12-11 17:30:40	wofs_ls_172042_2021-12-11.stac-item
2022-01-02 17:02:42	wofs_ls_166065_2022-01-02.stac-item
2022-03-02 19:09:01	wofs_ls_187057_2022-03-02.stac-item
2022-04-08 16:59:08	wofs_ls_166057_2022-04-08.stac-item
2022-04-24 17:02:10	wofs_ls_166065_2022-04-24.stac-item
2022-05-06 20:39:49	wofs_ls_202053_2022-05-06.stac-item
2022-05-26 19:25:29	wofs_ls_190052_2022-05-26.stac-item
2022-09-06 18:42:31	wofs_ls_183052_2022-09-06.stac-item
2022-09-18 17:28:03	wofs_ls_171051_2022-09-18.stac-item
2022-10-21 18:16:14	wofs_ls_178063_2022-10-21.stac-item
2022-11-27 16:54:41	wofs_ls_165060_2022-11-27.stac-item
2023-03-25 16:20:24	wofs_ls_159068_2023-03-25.stac-item
2023-04-24 17:16:53	wofs_ls_169056_2023-04-24.stac-item
2024-04-29 19:24:56	wofs_ls_190052_2024-04-29.stac-item
2024-05-25 18:27:11	wofs_ls_180063_2024-05-25.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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