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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
2014-09-25 17:49:08	wofs_ls_174058_2014-09-25.stac-item
2015-01-10 17:25:00	wofs_ls_171044_2015-01-10.stac-item
2015-10-23 19:12:41	wofs_ls_189035_2015-10-23.stac-item
2016-08-23 20:02:46	wofs_ls_196052_2016-08-23.stac-item
2017-05-22 20:03:21	wofs_ls_196055_2017-05-22.stac-item
2017-11-09 16:27:00	wofs_ls_161053_2017-11-09.stac-item
2018-05-13 19:34:34	wofs_ls_192046_2018-05-13.stac-item
2018-06-30 17:59:17	wofs_ls_176055_2018-06-30.stac-item
2018-09-12 18:29:21	wofs_ls_182036_2018-09-12.stac-item
2019-04-20 20:33:10	wofs_ls_202037_2019-04-20.stac-item
2020-04-06 20:40:34	wofs_ls_202055_2020-04-06.stac-item
2021-02-19 19:54:55	wofs_ls_195048_2021-02-19.stac-item
2021-03-01 18:49:04	wofs_ls_185038_2021-03-01.stac-item
2021-04-24 18:23:34	wofs_ls_179068_2021-04-24.stac-item
2021-05-08 20:09:31	wofs_ls_197055_2021-05-08.stac-item
2022-01-12 18:19:12	wofs_ls_180040_2022-01-12.stac-item
2022-04-28 17:30:53	wofs_ls_170075_2022-04-28.stac-item
2022-09-10 19:09:13	wofs_ls_187056_2022-09-10.stac-item
2022-09-23 19:24:18	wofs_ls_190048_2022-09-23.stac-item
2022-12-07 18:21:19	wofs_ls_179060_2022-12-07.stac-item
2023-01-07 20:00:42	wofs_ls_196046_2023-01-07.stac-item
2023-02-10 19:03:57	wofs_ls_186059_2023-02-10.stac-item
2023-02-21 19:33:39	wofs_ls_191056_2023-02-21.stac-item
2023-04-25 18:47:29	wofs_ls_184050_2023-04-25.stac-item
2023-05-19 17:18:26	wofs_ls_168076_2023-05-19.stac-item
2023-09-17 19:24:39	wofs_ls_191034_2023-09-17.stac-item
2024-05-15 17:05:07	wofs_ls_166073_2024-05-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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