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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

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Dataset URI:

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27 results

Time (local)	Label
2015-02-08 18:38:48	wofs_ls_182059_2015-02-08.stac-item
2016-02-22 19:52:22	wofs_ls_195042_2016-02-22.stac-item
2017-05-10 17:59:36	wofs_ls_176055_2017-05-10.stac-item
2017-05-12 19:26:33	wofs_ls_190056_2017-05-12.stac-item
2017-08-28 21:28:04	wofs_ls_210049_2017-08-28.stac-item
2018-01-22 18:47:04	wofs_ls_183064_2018-01-22.stac-item
2018-02-10 17:41:19	wofs_ls_172070_2018-02-10.stac-item
2018-10-30 18:38:25	wofs_ls_182058_2018-10-30.stac-item
2019-01-19 19:17:36	wofs_ls_189048_2019-01-19.stac-item
2019-04-09 17:41:11	wofs_ls_173055_2019-04-09.stac-item
2020-04-12 18:28:57	wofs_ls_180066_2020-04-12.stac-item
2021-12-13 17:33:49	wofs_ls_170081_2021-12-13.stac-item
2022-04-11 20:39:01	wofs_ls_203035_2022-04-11.stac-item
2022-08-07 20:10:09	wofs_ls_197055_2022-08-07.stac-item
2022-08-17 17:32:19	wofs_ls_171062_2022-08-17.stac-item
2022-09-12 18:05:28	wofs_ls_177052_2022-09-12.stac-item
2022-10-09 19:27:56	wofs_ls_190057_2022-10-09.stac-item
2022-11-29 19:02:00	wofs_ls_187038_2022-11-29.stac-item
2022-11-29 19:11:34	wofs_ls_187062_2022-11-29.stac-item
2022-12-22 18:19:22	wofs_ls_180040_2022-12-22.stac-item
2023-07-15 17:06:18	wofs_ls_167060_2023-07-15.stac-item
2023-07-18 20:47:00	wofs_ls_204040_2023-07-18.stac-item
2024-01-13 18:12:55	wofs_ls_177071_2024-01-13.stac-item
2024-01-14 18:05:42	wofs_ls_176068_2024-01-14.stac-item
2024-04-16 17:34:23	wofs_ls_171068_2024-04-16.stac-item
2024-04-21 17:48:23	wofs_ls_174057_2024-04-21.stac-item
2024-06-09 20:10:32	wofs_ls_197058_2024-06-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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