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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
2014-06-08 18:19:38	wofs_ls_179058_2014-06-08.stac-item
2018-03-06 16:51:18	wofs_ls_164069_2018-03-06.stac-item
2018-03-24 18:15:17	wofs_ls_178063_2018-03-24.stac-item
2018-08-13 20:02:51	wofs_ls_196054_2018-08-13.stac-item
2018-09-16 19:50:42	wofs_ls_194054_2018-09-16.stac-item
2019-02-06 17:32:41	wofs_ls_171064_2019-02-06.stac-item
2019-08-03 18:58:19	wofs_ls_185061_2019-08-03.stac-item
2020-02-22 18:42:06	wofs_ls_182067_2020-02-22.stac-item
2020-03-22 18:07:24	wofs_ls_177058_2020-03-22.stac-item
2020-09-03 18:28:43	wofs_ls_180064_2020-09-03.stac-item
2021-05-07 17:48:57	wofs_ls_174059_2021-05-07.stac-item
2021-08-22 17:29:06	wofs_ls_171054_2021-08-22.stac-item
2022-01-06 17:34:34	wofs_ls_170083_2022-01-06.stac-item
2022-01-29 21:34:25	wofs_ls_211049_2022-01-29.stac-item
2022-03-01 18:29:45	wofs_ls_180067_2022-03-01.stac-item
2022-03-18 17:37:12	wofs_ls_171075_2022-03-18.stac-item
2022-04-16 17:51:17	wofs_ls_174064_2022-04-16.stac-item
2022-07-21 16:58:20	wofs_ls_166054_2022-07-21.stac-item
2022-07-21 17:46:11	wofs_ls_174051_2022-07-21.stac-item
2022-07-25 20:38:54	wofs_ls_202050_2022-07-25.stac-item
2022-08-17 15:54:14	wofs_ls_155064_2022-08-17.stac-item
2022-10-10 19:21:07	wofs_ls_189055_2022-10-10.stac-item
2022-11-01 18:02:51	wofs_ls_175076_2022-11-01.stac-item
2022-12-01 20:27:44	wofs_ls_201036_2022-12-01.stac-item
2023-09-08 17:13:34	wofs_ls_168062_2023-09-08.stac-item
2024-05-26 19:58:15	wofs_ls_195058_2024-05-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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