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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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26 results

Time (local)	Label
2014-02-04 18:05:02	wofs_ls_175080_2014-02-04.stac-item
2014-08-15 17:52:55	wofs_ls_175052_2014-08-15.stac-item
2014-09-10 18:32:28	wofs_ls_181058_2014-09-10.stac-item
2015-05-01 18:32:57	wofs_ls_180077_2015-05-01.stac-item
2015-08-08 17:18:36	wofs_ls_169060_2015-08-08.stac-item
2015-08-11 21:03:19	wofs_ls_206050_2015-08-11.stac-item
2015-09-24 18:09:00	wofs_ls_178046_2015-09-24.stac-item
2015-11-20 18:07:21	wofs_ls_177057_2015-11-20.stac-item
2016-11-10 16:09:06	wofs_ls_157070_2016-11-10.stac-item
2017-07-04 18:05:00	wofs_ls_177052_2017-07-04.stac-item
2017-11-19 20:21:24	wofs_ls_199052_2017-11-19.stac-item
2018-04-01 17:32:34	wofs_ls_170080_2018-04-01.stac-item
2018-10-04 19:35:17	wofs_ls_192046_2018-10-04.stac-item
2019-01-23 17:25:08	wofs_ls_169076_2019-01-23.stac-item
2019-03-28 17:21:42	wofs_ls_169068_2019-03-28.stac-item
2019-06-19 21:00:42	wofs_ls_206043_2019-06-19.stac-item
2019-10-23 18:05:48	wofs_ls_176068_2019-10-23.stac-item
2019-11-27 18:38:14	wofs_ls_181072_2019-11-27.stac-item
2020-03-11 16:50:44	wofs_ls_164067_2020-03-11.stac-item
2020-03-18 16:57:16	wofs_ls_165068_2020-03-18.stac-item
2021-02-23 17:47:42	wofs_ls_175039_2021-02-23.stac-item
2021-08-09 18:10:19	wofs_ls_176080_2021-08-09.stac-item
2022-01-10 16:18:24	wofs_ls_158078_2022-01-10.stac-item
2022-04-10 16:53:56	wofs_ls_164075_2022-04-10.stac-item
2022-05-29 15:56:20	wofs_ls_155071_2022-05-29.stac-item
2023-04-16 20:31:48	wofs_ls_201048_2023-04-16.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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