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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
2014-01-11 18:44:44	wofs_ls_183055_2014-01-11.stac-item
2015-10-16 17:39:30	wofs_ls_172065_2015-10-16.stac-item
2017-03-10 18:36:53	wofs_ls_181070_2017-03-10.stac-item
2017-08-24 20:13:29	wofs_ls_198048_2017-08-24.stac-item
2018-01-07 17:50:46	wofs_ls_174062_2018-01-07.stac-item
2018-06-17 16:50:22	wofs_ls_165053_2018-06-17.stac-item
2018-06-22 20:25:56	wofs_ls_200051_2018-06-22.stac-item
2018-08-09 17:13:21	wofs_ls_168063_2018-08-09.stac-item
2018-09-10 17:15:34	wofs_ls_168068_2018-09-10.stac-item
2018-11-16 17:44:49	wofs_ls_173063_2018-11-16.stac-item
2019-04-21 18:06:37	wofs_ls_177057_2019-04-21.stac-item
2019-05-12 16:44:48	wofs_ls_164053_2019-05-12.stac-item
2019-05-24 17:18:25	wofs_ls_168075_2019-05-24.stac-item
2019-08-08 17:47:10	wofs_ls_172084_2019-08-08.stac-item
2019-09-12 21:21:39	wofs_ls_209048_2019-09-12.stac-item
2020-02-26 18:16:33	wofs_ls_178065_2020-02-26.stac-item
2020-03-02 18:31:53	wofs_ls_181057_2020-03-02.stac-item
2020-04-08 18:46:55	wofs_ls_184049_2020-04-08.stac-item
2020-07-11 17:33:46	wofs_ls_170082_2020-07-11.stac-item
2021-10-13 20:23:35	wofs_ls_199057_2021-10-13.stac-item
2022-02-01 17:17:02	wofs_ls_168070_2022-02-01.stac-item
2022-02-03 17:03:53	wofs_ls_166068_2022-02-03.stac-item
2022-03-19 17:19:58	wofs_ls_170047_2022-03-19.stac-item
2022-06-16 20:26:00	wofs_ls_201034_2022-06-16.stac-item
2022-08-26 19:48:01	wofs_ls_194045_2022-08-26.stac-item
2023-02-13 17:15:04	wofs_ls_167080_2023-02-13.stac-item
2024-01-30 18:04:54	wofs_ls_176066_2024-01-30.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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