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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
2013-05-14 20:30:19	wofs_ls_201039_2013-05-14.stac-item
2013-09-29 16:26:12	wofs_ls_159078_2013-09-29.stac-item
2014-09-16 17:53:23	wofs_ls_175053_2014-09-16.stac-item
2014-10-27 17:50:27	wofs_ls_174061_2014-10-27.stac-item
2015-02-25 19:19:34	wofs_ls_189053_2015-02-25.stac-item
2016-06-12 17:42:47	wofs_ls_172074_2016-06-12.stac-item
2017-07-09 16:51:27	wofs_ls_164069_2017-07-09.stac-item
2017-11-10 20:29:13	wofs_ls_200056_2017-11-10.stac-item
2017-12-11 18:12:56	wofs_ls_177071_2017-12-11.stac-item
2018-04-29 16:15:45	wofs_ls_158074_2018-04-29.stac-item
2018-05-03 19:04:22	wofs_ls_186063_2018-05-03.stac-item
2018-10-27 19:36:26	wofs_ls_193033_2018-10-27.stac-item
2019-03-15 16:14:33	wofs_ls_158070_2019-03-15.stac-item
2019-06-24 18:06:17	wofs_ls_177055_2019-06-24.stac-item
2020-10-08 17:18:53	wofs_ls_169059_2020-10-08.stac-item
2021-04-29 18:36:04	wofs_ls_182053_2021-04-29.stac-item
2022-03-11 17:23:07	wofs_ls_170055_2022-03-11.stac-item
2022-06-07 17:30:16	wofs_ls_170074_2022-06-07.stac-item
2022-07-21 21:00:22	wofs_ls_206042_2022-07-21.stac-item
2022-10-08 15:32:28	wofs_ls_151071_2022-10-08.stac-item
2023-05-14 16:56:43	wofs_ls_165068_2023-05-14.stac-item
2023-08-05 16:40:14	wofs_ls_162072_2023-08-05.stac-item
2023-09-06 18:10:12	wofs_ls_178049_2023-09-06.stac-item
2024-01-14 20:29:29	wofs_ls_200057_2024-01-14.stac-item
2024-02-29 17:23:32	wofs_ls_170056_2024-02-29.stac-item
2024-03-25 19:44:11	wofs_ls_193052_2024-03-25.stac-item
2024-04-24 16:40:42	wofs_ls_163058_2024-04-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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