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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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26 results

Time (local)	Label
2015-01-21 17:09:34	wofs_ls_168052_2015-01-21.stac-item
2015-08-15 19:00:33	wofs_ls_186052_2015-08-15.stac-item
2016-03-15 19:21:12	wofs_ls_189057_2016-03-15.stac-item
2016-04-03 19:51:31	wofs_ls_194056_2016-04-03.stac-item
2016-06-01 19:27:01	wofs_ls_191041_2016-06-01.stac-item
2017-01-17 20:34:53	wofs_ls_201055_2017-01-17.stac-item
2018-08-13 20:04:27	wofs_ls_196058_2018-08-13.stac-item
2018-10-21 18:44:10	wofs_ls_183057_2018-10-21.stac-item
2021-02-22 17:18:00	wofs_ls_168073_2021-02-22.stac-item
2021-03-17 17:21:35	wofs_ls_169067_2021-03-17.stac-item
2021-03-26 17:17:46	wofs_ls_168073_2021-03-26.stac-item
2021-08-23 16:33:05	wofs_ls_162053_2021-08-23.stac-item
2021-11-22 19:24:55	wofs_ls_191034_2021-11-22.stac-item
2022-02-13 16:52:08	wofs_ls_164070_2022-02-13.stac-item
2022-03-04 19:44:07	wofs_ls_193052_2022-03-04.stac-item
2022-03-31 19:26:18	wofs_ls_190054_2022-03-31.stac-item
2022-04-26 17:35:41	wofs_ls_172056_2022-04-26.stac-item
2022-07-20 15:32:00	wofs_ls_151071_2022-07-20.stac-item
2022-08-05 19:33:48	wofs_ls_191056_2022-08-05.stac-item
2022-08-13 17:11:06	wofs_ls_167070_2022-08-13.stac-item
2022-08-22 20:15:32	wofs_ls_198052_2022-08-22.stac-item
2022-10-18 20:58:43	wofs_ls_205052_2022-10-18.stac-item
2022-11-17 17:11:06	wofs_ls_167070_2022-11-17.stac-item
2023-01-12 16:20:42	wofs_ls_159068_2023-01-12.stac-item
2023-02-27 16:35:57	wofs_ls_161076_2023-02-27.stac-item
2024-02-09 20:11:19	wofs_ls_198042_2024-02-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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