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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
2013-07-10 20:28:57	wofs_ls_200051_2013-07-10.stac-item
2014-03-14 17:21:04	wofs_ls_169064_2014-03-14.stac-item
2014-05-07 19:57:40	wofs_ls_195056_2014-05-07.stac-item
2014-08-12 19:02:05	wofs_ls_186055_2014-08-12.stac-item
2015-11-26 17:33:04	wofs_ls_171064_2015-11-26.stac-item
2016-07-18 18:48:50	wofs_ls_184053_2016-07-18.stac-item
2017-02-17 18:18:54	wofs_ls_178071_2017-02-17.stac-item
2017-03-07 18:05:37	wofs_ls_176069_2017-03-07.stac-item
2017-08-03 18:19:57	wofs_ls_179058_2017-08-03.stac-item
2017-08-13 17:16:12	wofs_ls_169053_2017-08-13.stac-item
2017-10-02 18:50:31	wofs_ls_183072_2017-10-02.stac-item
2017-10-13 18:25:14	wofs_ls_180055_2017-10-13.stac-item
2017-10-16 18:58:08	wofs_ls_185060_2017-10-16.stac-item
2018-05-14 18:41:19	wofs_ls_183052_2018-05-14.stac-item
2018-06-24 20:15:11	wofs_ls_198055_2018-06-24.stac-item
2018-12-08 17:06:05	wofs_ls_167059_2018-12-08.stac-item
2019-04-12 18:17:15	wofs_ls_178068_2019-04-12.stac-item
2019-08-21 18:43:15	wofs_ls_183054_2019-08-21.stac-item
2019-12-04 17:07:31	wofs_ls_166077_2019-12-04.stac-item
2020-07-31 18:40:27	wofs_ls_182063_2020-07-31.stac-item
2020-12-03 18:10:45	wofs_ls_177065_2020-12-03.stac-item
2021-02-17 16:57:06	wofs_ls_165067_2021-02-17.stac-item
2021-12-22 20:27:51	wofs_ls_201037_2021-12-22.stac-item
2022-09-01 18:33:34	wofs_ls_180076_2022-09-01.stac-item
2022-11-06 19:03:52	wofs_ls_186058_2022-11-06.stac-item
2023-01-26 18:59:26	wofs_ls_185063_2023-01-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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