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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:

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Acquisition time range From

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Dataset URI:

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27 results

Time (local)	Label
2013-07-18 18:00:36	wofs_ls_176051_2013-07-18.stac-item
2014-12-12 16:27:24	wofs_ls_160070_2014-12-12.stac-item
2014-12-20 20:28:17	wofs_ls_200054_2014-12-20.stac-item
2015-02-13 17:13:12	wofs_ls_169046_2015-02-13.stac-item
2015-06-09 18:29:10	wofs_ls_181052_2015-06-09.stac-item
2015-08-01 17:10:00	wofs_ls_168054_2015-08-01.stac-item
2015-09-07 15:53:53	wofs_ls_155064_2015-09-07.stac-item
2015-11-22 18:05:46	wofs_ls_175084_2015-11-22.stac-item
2016-03-01 20:42:36	wofs_ls_203044_2016-03-01.stac-item
2016-09-29 18:42:55	wofs_ls_183053_2016-09-29.stac-item
2016-10-04 17:24:12	wofs_ls_170057_2016-10-04.stac-item
2017-06-25 18:13:32	wofs_ls_178058_2017-06-25.stac-item
2017-08-24 17:01:18	wofs_ls_166062_2017-08-24.stac-item
2017-09-08 18:05:20	wofs_ls_175083_2017-09-08.stac-item
2017-09-20 18:20:55	wofs_ls_179060_2017-09-20.stac-item
2018-12-03 16:51:57	wofs_ls_164070_2018-12-03.stac-item
2020-12-13 17:13:20	wofs_ls_167076_2020-12-13.stac-item
2021-11-26 19:09:46	wofs_ls_187058_2021-11-26.stac-item
2022-04-05 18:56:25	wofs_ls_185057_2022-04-05.stac-item
2022-07-16 16:48:05	wofs_ls_163075_2022-07-16.stac-item
2022-08-13 17:59:01	wofs_ls_175067_2022-08-13.stac-item
2022-10-19 18:30:59	wofs_ls_180069_2022-10-19.stac-item
2023-06-04 16:20:00	wofs_ls_160053_2023-06-04.stac-item
2024-01-11 18:23:40	wofs_ls_179067_2024-01-11.stac-item
2024-04-16 17:31:35	wofs_ls_171061_2024-04-16.stac-item
2024-04-25 16:39:08	wofs_ls_162070_2024-04-25.stac-item
2024-05-24 18:34:33	wofs_ls_181065_2024-05-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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