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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
2013-11-16 19:34:37	wofs_ls_191055_2013-11-16.stac-item
2016-11-11 18:33:15	wofs_ls_180075_2016-11-11.stac-item
2017-08-18 17:33:35	wofs_ls_172050_2017-08-18.stac-item
2017-08-25 19:20:16	wofs_ls_189054_2017-08-25.stac-item
2018-08-26 18:04:44	wofs_ls_175083_2018-08-26.stac-item
2018-10-16 18:25:35	wofs_ls_180057_2018-10-16.stac-item
2020-11-01 16:34:13	wofs_ls_161071_2020-11-01.stac-item
2021-01-15 21:03:49	wofs_ls_206050_2021-01-15.stac-item
2021-05-14 17:54:25	wofs_ls_175057_2021-05-14.stac-item
2021-05-25 19:16:04	wofs_ls_188060_2021-05-25.stac-item
2022-01-05 15:57:06	wofs_ls_155071_2022-01-05.stac-item
2022-02-17 17:55:06	wofs_ls_176042_2022-02-17.stac-item
2022-03-23 18:41:16	wofs_ls_182065_2022-03-23.stac-item
2022-04-27 18:18:32	wofs_ls_179055_2022-04-27.stac-item
2022-06-23 17:23:23	wofs_ls_170056_2022-06-23.stac-item
2022-06-26 18:44:55	wofs_ls_183058_2022-06-26.stac-item
2022-07-30 18:31:08	wofs_ls_181054_2022-07-30.stac-item
2022-10-18 19:20:37	wofs_ls_189054_2022-10-18.stac-item
2022-11-13 18:22:50	wofs_ls_179064_2022-11-13.stac-item
2022-12-16 17:23:11	wofs_ls_170054_2022-12-16.stac-item
2023-06-20 17:10:39	wofs_ls_168056_2023-06-20.stac-item
2023-07-05 16:31:58	wofs_ls_161067_2023-07-05.stac-item
2023-07-11 16:41:04	wofs_ls_163059_2023-07-11.stac-item
2024-03-02 18:52:49	wofs_ls_184063_2024-03-02.stac-item
2024-04-10 17:23:44	wofs_ls_169073_2024-04-10.stac-item
2024-05-24 19:11:40	wofs_ls_189035_2024-05-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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