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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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26 results

Time (local)	Label
2013-07-11 17:58:26	wofs_ls_175061_2013-07-11.stac-item
2013-08-07 16:06:13	wofs_ls_156074_2013-08-07.stac-item
2013-10-04 18:14:28	wofs_ls_178055_2013-10-04.stac-item
2014-06-27 20:27:28	wofs_ls_200053_2014-06-27.stac-item
2014-12-06 20:17:08	wofs_ls_198057_2014-12-06.stac-item
2015-05-15 18:41:06	wofs_ls_182067_2015-05-15.stac-item
2015-12-05 17:25:40	wofs_ls_170061_2015-12-05.stac-item
2016-02-28 17:50:21	wofs_ls_173077_2016-02-28.stac-item
2016-05-17 18:36:29	wofs_ls_182054_2016-05-17.stac-item
2016-06-19 17:41:01	wofs_ls_173054_2016-06-19.stac-item
2017-05-25 20:33:05	wofs_ls_201052_2017-05-25.stac-item
2017-10-29 18:28:26	wofs_ls_180063_2017-10-29.stac-item
2018-04-10 17:19:31	wofs_ls_169063_2018-04-10.stac-item
2018-07-23 18:03:38	wofs_ls_177050_2018-07-23.stac-item
2019-01-09 17:09:39	wofs_ls_167068_2019-01-09.stac-item
2019-04-21 18:07:01	wofs_ls_177058_2019-04-21.stac-item
2019-11-18 20:14:08	wofs_ls_198049_2019-11-18.stac-item
2019-12-24 16:39:33	wofs_ls_162069_2019-12-24.stac-item
2020-07-20 18:58:56	wofs_ls_185063_2020-07-20.stac-item
2021-08-06 19:08:42	wofs_ls_187056_2021-08-06.stac-item
2021-09-22 19:57:21	wofs_ls_196038_2021-09-22.stac-item
2021-11-12 17:31:41	wofs_ls_170071_2021-11-12.stac-item
2022-09-21 17:16:13	wofs_ls_168067_2022-09-21.stac-item
2022-12-01 19:41:19	wofs_ls_193044_2022-12-01.stac-item
2023-09-15 17:27:48	wofs_ls_169082_2023-09-15.stac-item
2024-03-13 16:08:57	wofs_ls_157070_2024-03-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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