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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:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

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

Acquisition time range to (exclusive)

Dataset URI:

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30 results

Time (local)	Label
2013-11-03 16:47:48	wofs_ls_164055_2013-11-03.stac-item
2013-11-04 17:38:39	wofs_ls_171074_2013-11-04.stac-item
2014-03-03 17:46:27	wofs_ls_172081_2014-03-03.stac-item
2014-04-17 18:45:24	wofs_ls_183060_2014-04-17.stac-item
2015-11-04 17:59:21	wofs_ls_177037_2015-11-04.stac-item
2016-06-04 20:04:42	wofs_ls_196058_2016-06-04.stac-item
2017-09-12 17:40:36	wofs_ls_171083_2017-09-12.stac-item
2017-12-10 17:21:18	wofs_ls_170050_2017-12-10.stac-item
2017-12-17 19:02:25	wofs_ls_187040_2017-12-17.stac-item
2018-01-10 18:20:51	wofs_ls_179060_2018-01-10.stac-item
2019-10-16 19:25:21	wofs_ls_191035_2019-10-16.stac-item
2020-05-01 20:34:12	wofs_ls_201055_2020-05-01.stac-item
2020-05-25 18:05:52	wofs_ls_177055_2020-05-25.stac-item
2021-05-04 20:32:15	wofs_ls_201050_2021-05-04.stac-item
2022-01-27 16:59:18	wofs_ls_165072_2022-01-27.stac-item
2022-02-22 20:44:25	wofs_ls_203048_2022-02-22.stac-item
2022-02-24 19:46:07	wofs_ls_193057_2022-02-24.stac-item
2022-04-12 16:39:34	wofs_ls_162070_2022-04-12.stac-item
2022-04-26 18:25:06	wofs_ls_180056_2022-04-26.stac-item
2022-05-22 20:38:50	wofs_ls_202051_2022-05-22.stac-item
2022-07-09 17:28:58	wofs_ls_170070_2022-07-09.stac-item
2022-11-02 16:58:50	wofs_ls_166055_2022-11-02.stac-item
2022-11-08 17:13:24	wofs_ls_168060_2022-11-08.stac-item
2023-03-04 19:15:49	wofs_ls_188058_2023-03-04.stac-item
2023-04-15 18:17:37	wofs_ls_178068_2023-04-15.stac-item
2023-07-29 19:41:46	wofs_ls_193047_2023-07-29.stac-item
2023-08-05 16:32:39	wofs_ls_162053_2023-08-05.stac-item
2023-08-19 17:45:26	wofs_ls_172080_2023-08-19.stac-item
2024-01-23 17:56:15	wofs_ls_175060_2024-01-23.stac-item
2024-03-29 18:33:31	wofs_ls_181062_2024-03-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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