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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
2013-10-07 18:45:23	wofs_ls_183055_2013-10-07.stac-item
2014-02-11 16:30:36	wofs_ls_160076_2014-02-11.stac-item
2014-03-03 17:35:17	wofs_ls_172053_2014-03-03.stac-item
2014-11-21 17:42:14	wofs_ls_173056_2014-11-21.stac-item
2015-01-21 17:14:21	wofs_ls_168064_2015-01-21.stac-item
2015-05-20 18:57:17	wofs_ls_185061_2015-05-20.stac-item
2015-07-04 20:03:16	wofs_ls_196055_2015-07-04.stac-item
2017-08-15 17:15:01	wofs_ls_167081_2017-08-15.stac-item
2018-02-11 18:22:35	wofs_ls_179065_2018-02-11.stac-item
2018-10-26 20:34:02	wofs_ls_202038_2018-10-26.stac-item
2018-11-19 19:47:25	wofs_ls_194045_2018-11-19.stac-item
2019-12-11 18:46:11	wofs_ls_183061_2019-12-11.stac-item
2020-03-12 19:08:06	wofs_ls_187055_2020-03-12.stac-item
2020-06-13 16:56:04	wofs_ls_166050_2020-06-13.stac-item
2020-07-15 16:59:30	wofs_ls_166058_2020-07-15.stac-item
2020-07-23 21:03:33	wofs_ls_206050_2020-07-23.stac-item
2021-02-09 17:48:10	wofs_ls_173071_2021-02-09.stac-item
2021-03-05 18:35:04	wofs_ls_181065_2021-03-05.stac-item
2021-10-30 16:16:35	wofs_ls_158073_2021-10-30.stac-item
2022-11-08 18:05:27	wofs_ls_176067_2022-11-08.stac-item
2023-01-09 18:16:37	wofs_ls_178064_2023-01-09.stac-item
2023-03-14 17:29:06	wofs_ls_170070_2023-03-14.stac-item
2023-04-24 17:20:04	wofs_ls_169064_2023-04-24.stac-item
2024-05-17 20:04:30	wofs_ls_196058_2024-05-17.stac-item
2024-06-01 20:53:15	wofs_ls_205041_2024-06-01.stac-item
2024-06-17 17:43:39	wofs_ls_173062_2024-06-17.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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