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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
2013-10-17 19:23:13	wofs_ls_189057_2013-10-17.stac-item
2014-01-24 18:15:19	wofs_ls_178059_2014-01-24.stac-item
2014-06-08 18:20:02	wofs_ls_179059_2014-06-08.stac-item
2014-06-23 17:37:13	wofs_ls_172060_2014-06-23.stac-item
2014-06-28 19:32:16	wofs_ls_191054_2014-06-28.stac-item
2014-07-31 17:01:11	wofs_ls_166062_2014-07-31.stac-item
2014-12-27 17:25:49	wofs_ls_169077_2014-12-27.stac-item
2015-06-16 18:41:47	wofs_ls_182068_2015-06-16.stac-item
2015-06-28 19:02:11	wofs_ls_186057_2015-06-28.stac-item
2016-03-27 18:07:19	wofs_ls_177058_2016-03-27.stac-item
2017-03-01 18:44:44	wofs_ls_182074_2017-03-01.stac-item
2017-12-12 18:52:37	wofs_ls_184062_2017-12-12.stac-item
2018-05-12 20:33:47	wofs_ls_201055_2018-05-12.stac-item
2018-06-27 17:30:20	wofs_ls_171060_2018-06-27.stac-item
2018-08-11 18:35:55	wofs_ls_182053_2018-08-11.stac-item
2018-11-03 18:18:05	wofs_ls_178069_2018-11-03.stac-item
2019-07-24 16:38:17	wofs_ls_163051_2019-07-24.stac-item
2019-11-22 18:14:06	wofs_ls_178058_2019-11-22.stac-item
2020-07-07 17:46:30	wofs_ls_174052_2020-07-07.stac-item
2022-02-01 16:36:15	wofs_ls_160092_2022-02-01.stac-item
2022-03-16 17:49:35	wofs_ls_173075_2022-03-16.stac-item
2022-11-19 17:46:33	wofs_ls_173066_2022-11-19.stac-item
2022-12-27 17:03:26	wofs_ls_167051_2022-12-27.stac-item
2023-01-05 17:51:28	wofs_ls_174063_2023-01-05.stac-item
2024-01-29 17:20:50	wofs_ls_169064_2024-01-29.stac-item
2024-05-06 20:21:35	wofs_ls_199054_2024-05-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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