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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
2013-07-14 18:28:08	wofs_ls_180058_2013-07-14.stac-item
2013-08-06 16:55:27	wofs_ls_165058_2013-08-06.stac-item
2013-10-08 17:52:33	wofs_ls_174062_2013-10-08.stac-item
2014-01-22 18:30:04	wofs_ls_180065_2014-01-22.stac-item
2015-01-24 17:42:02	wofs_ls_173056_2015-01-24.stac-item
2015-04-12 17:46:39	wofs_ls_175038_2015-04-12.stac-item
2015-08-30 18:19:22	wofs_ls_179057_2015-08-30.stac-item
2016-04-07 17:51:05	wofs_ls_174064_2016-04-07.stac-item
2017-02-03 16:20:34	wofs_ls_160053_2017-02-03.stac-item
2018-05-30 18:48:17	wofs_ls_183070_2018-05-30.stac-item
2018-10-09 16:39:41	wofs_ls_163055_2018-10-09.stac-item
2020-02-18 17:19:59	wofs_ls_170047_2020-02-18.stac-item
2020-09-17 18:45:09	wofs_ls_182074_2020-09-17.stac-item
2021-01-18 18:22:30	wofs_ls_179064_2021-01-18.stac-item
2021-07-11 20:09:31	wofs_ls_197054_2021-07-11.stac-item
2021-11-15 17:52:06	wofs_ls_174069_2021-11-15.stac-item
2022-05-30 17:24:42	wofs_ls_170059_2022-05-30.stac-item
2022-07-08 20:46:08	wofs_ls_203052_2022-07-08.stac-item
2022-07-13 18:41:06	wofs_ls_182065_2022-07-13.stac-item
2023-01-05 18:32:11	wofs_ls_182041_2023-01-05.stac-item
2023-02-06 17:07:18	wofs_ls_166076_2023-02-06.stac-item
2023-03-31 19:44:41	wofs_ls_193054_2023-03-31.stac-item
2023-07-12 18:11:06	wofs_ls_178052_2023-07-12.stac-item
2024-02-06 19:43:13	wofs_ls_193049_2024-02-06.stac-item
2024-02-29 17:25:31	wofs_ls_170061_2024-02-29.stac-item
2024-04-02 17:20:58	wofs_ls_169065_2024-04-02.stac-item
2024-05-15 16:16:53	wofs_ls_158077_2024-05-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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