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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:

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:

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Acquisition time range From

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Dataset URI:

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26 results

Time (local)	Label
2014-02-06 17:44:16	wofs_ls_173059_2014-02-06.stac-item
2014-09-24 17:13:27	wofs_ls_167077_2014-09-24.stac-item
2014-10-18 21:06:28	wofs_ls_207041_2014-10-18.stac-item
2014-10-23 19:52:06	wofs_ls_194056_2014-10-23.stac-item
2014-11-16 17:24:33	wofs_ls_170058_2014-11-16.stac-item
2015-03-12 17:02:25	wofs_ls_166066_2015-03-12.stac-item
2016-03-03 17:21:38	wofs_ls_169067_2016-03-03.stac-item
2016-03-06 16:14:51	wofs_ls_158070_2016-03-06.stac-item
2016-03-27 16:34:48	wofs_ls_161074_2016-03-27.stac-item
2018-03-08 19:51:54	wofs_ls_194057_2018-03-08.stac-item
2018-11-15 17:00:21	wofs_ls_166060_2018-11-15.stac-item
2018-12-08 17:11:16	wofs_ls_167072_2018-12-08.stac-item
2019-02-03 17:04:58	wofs_ls_166072_2019-02-03.stac-item
2020-02-06 18:40:57	wofs_ls_182064_2020-02-06.stac-item
2020-02-14 17:50:18	wofs_ls_174061_2020-02-14.stac-item
2020-02-21 16:21:33	wofs_ls_159071_2020-02-21.stac-item
2020-05-26 18:52:43	wofs_ls_184064_2020-05-26.stac-item
2020-06-20 20:20:52	wofs_ls_199052_2020-06-20.stac-item
2021-03-23 19:56:16	wofs_ls_195052_2021-03-23.stac-item
2021-04-04 20:22:56	wofs_ls_199057_2021-04-04.stac-item
2021-11-14 20:23:54	wofs_ls_199055_2021-11-14.stac-item
2022-01-11 18:34:34	wofs_ls_181063_2022-01-11.stac-item
2022-05-13 19:09:25	wofs_ls_187059_2022-05-13.stac-item
2022-09-09 20:50:43	wofs_ls_204048_2022-09-09.stac-item
2023-03-09 18:44:40	wofs_ls_183058_2023-03-09.stac-item
2024-04-09 17:22:43	wofs_ls_170054_2024-04-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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