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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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27 results

Time (local)	Label
2013-09-10 19:02:27	wofs_ls_186051_2013-09-10.stac-item
2013-11-26 20:04:27	wofs_ls_197037_2013-11-26.stac-item
2014-11-25 18:49:40	wofs_ls_185039_2014-11-25.stac-item
2014-12-09 17:32:38	wofs_ls_171063_2014-12-09.stac-item
2015-04-13 20:08:24	wofs_ls_198037_2015-04-13.stac-item
2016-07-23 20:46:17	wofs_ls_203053_2016-07-23.stac-item
2017-01-14 18:17:57	wofs_ls_180037_2017-01-14.stac-item
2017-04-10 21:00:21	wofs_ls_206043_2017-04-10.stac-item
2017-04-10 21:01:33	wofs_ls_206046_2017-04-10.stac-item
2017-07-30 17:08:33	wofs_ls_167065_2017-07-30.stac-item
2017-07-31 21:00:49	wofs_ls_206043_2017-07-31.stac-item
2017-10-04 18:31:47	wofs_ls_181056_2017-10-04.stac-item
2017-11-03 20:21:04	wofs_ls_199051_2017-11-03.stac-item
2018-11-04 20:34:15	wofs_ls_201054_2018-11-04.stac-item
2019-04-03 18:20:42	wofs_ls_179061_2019-04-03.stac-item
2019-06-26 17:54:20	wofs_ls_175056_2019-06-26.stac-item
2019-08-30 18:40:18	wofs_ls_182062_2019-08-30.stac-item
2020-01-03 18:50:41	wofs_ls_184057_2020-01-03.stac-item
2020-04-11 17:36:32	wofs_ls_173043_2020-04-11.stac-item
2020-05-02 18:01:16	wofs_ls_176059_2020-05-02.stac-item
2020-08-17 17:39:20	wofs_ls_173049_2020-08-17.stac-item
2021-03-17 20:34:57	wofs_ls_201056_2021-03-17.stac-item
2022-09-22 17:04:57	wofs_ls_167055_2022-09-22.stac-item
2023-09-08 17:21:08	wofs_ls_168081_2023-09-08.stac-item
2024-02-11 19:14:53	wofs_ls_188056_2024-02-11.stac-item
2024-03-16 19:04:14	wofs_ls_186061_2024-03-16.stac-item
2024-05-04 19:40:38	wofs_ls_193045_2024-05-04.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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