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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
2013-05-21 17:25:34	wofs_ls_170056_2013-05-21.stac-item
2013-09-06 19:27:35	wofs_ls_190052_2013-09-06.stac-item
2014-02-15 20:48:32	wofs_ls_204041_2014-02-15.stac-item
2014-03-17 17:57:07	wofs_ls_174077_2014-03-17.stac-item
2014-11-06 19:55:42	wofs_ls_196034_2014-11-06.stac-item
2015-11-05 17:11:42	wofs_ls_168057_2015-11-05.stac-item
2016-06-14 19:04:07	wofs_ls_186061_2016-06-14.stac-item
2016-11-14 17:19:18	wofs_ls_169060_2016-11-14.stac-item
2016-12-10 18:01:55	wofs_ls_175074_2016-12-10.stac-item
2017-09-21 19:01:48	wofs_ls_186054_2017-09-21.stac-item
2018-02-19 20:42:53	wofs_ls_203045_2018-02-19.stac-item
2018-05-17 19:12:35	wofs_ls_188053_2018-05-17.stac-item
2019-12-05 17:52:22	wofs_ls_173081_2019-12-05.stac-item
2019-12-14 17:42:35	wofs_ls_172072_2019-12-14.stac-item
2020-05-07 21:33:09	wofs_ls_211048_2020-05-07.stac-item
2020-07-31 18:44:26	wofs_ls_182073_2020-07-31.stac-item
2020-08-03 17:30:53	wofs_ls_171059_2020-08-03.stac-item
2021-04-22 16:57:28	wofs_ls_165069_2021-04-22.stac-item
2021-11-11 18:18:27	wofs_ls_180041_2021-11-11.stac-item
2022-02-05 19:56:32	wofs_ls_196036_2022-02-05.stac-item
2022-05-02 17:50:47	wofs_ls_174063_2022-05-02.stac-item
2022-10-11 18:27:28	wofs_ls_180060_2022-10-11.stac-item
2023-02-06 20:15:54	wofs_ls_198053_2023-02-06.stac-item
2023-05-04 16:22:35	wofs_ls_159075_2023-05-04.stac-item
2023-05-05 18:37:08	wofs_ls_182056_2023-05-05.stac-item
2024-04-15 18:32:49	wofs_ls_180075_2024-04-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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