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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
2014-03-08 17:59:48	wofs_ls_175068_2014-03-08.stac-item
2015-03-25 19:36:27	wofs_ls_193034_2015-03-25.stac-item
2016-01-05 18:28:25	wofs_ls_179079_2016-01-05.stac-item
2016-05-24 17:07:01	wofs_ls_167062_2016-05-24.stac-item
2018-03-13 20:02:02	wofs_ls_197036_2018-03-13.stac-item
2019-06-08 18:05:47	wofs_ls_177054_2019-06-08.stac-item
2019-08-16 16:47:24	wofs_ls_164058_2019-08-16.stac-item
2019-12-11 17:06:06	wofs_ls_167058_2019-12-11.stac-item
2020-04-13 20:45:31	wofs_ls_203052_2020-04-13.stac-item
2020-05-05 16:52:28	wofs_ls_165057_2020-05-05.stac-item
2020-11-23 15:54:45	wofs_ls_155065_2020-11-23.stac-item
2021-04-05 17:52:48	wofs_ls_174068_2021-04-05.stac-item
2021-04-11 18:49:23	wofs_ls_184055_2021-04-11.stac-item
2022-01-01 15:32:45	wofs_ls_151072_2022-01-01.stac-item
2022-03-23 18:29:43	wofs_ls_182036_2022-03-23.stac-item
2022-03-23 18:29:43	wofs_ls_182036_2022-03-23.stac-item
2022-05-20 19:10:43	wofs_ls_188047_2022-05-20.stac-item
2022-07-26 17:24:06	wofs_ls_169072_2022-07-26.stac-item
2022-08-13 18:04:36	wofs_ls_175081_2022-08-13.stac-item
2022-09-08 18:29:21	wofs_ls_181050_2022-09-08.stac-item
2022-11-21 18:24:05	wofs_ls_179067_2022-11-21.stac-item
2022-12-21 17:43:18	wofs_ls_173058_2022-12-21.stac-item
2023-08-27 20:01:27	wofs_ls_196049_2023-08-27.stac-item
2024-02-18 16:51:14	wofs_ls_165052_2024-02-18.stac-item
2024-05-23 18:35:35	wofs_ls_182053_2024-05-23.stac-item
2024-06-16 18:36:31	wofs_ls_182055_2024-06-16.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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