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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
2014-01-02 17:14:34	wofs_ls_168061_2014-01-02.stac-item
2015-04-03 19:38:05	wofs_ls_192054_2015-04-03.stac-item
2015-12-12 19:00:45	wofs_ls_187036_2015-12-12.stac-item
2016-02-11 20:10:59	wofs_ls_198042_2016-02-11.stac-item
2016-05-09 21:00:25	wofs_ls_206043_2016-05-09.stac-item
2016-09-11 17:16:47	wofs_ls_169054_2016-09-11.stac-item
2017-02-06 20:02:02	wofs_ls_197035_2017-02-06.stac-item
2017-11-08 19:05:06	wofs_ls_186062_2017-11-08.stac-item
2018-08-29 16:50:23	wofs_ls_164067_2018-08-29.stac-item
2018-09-14 19:55:05	wofs_ls_196034_2018-09-14.stac-item
2018-12-26 20:09:53	wofs_ls_197055_2018-12-26.stac-item
2019-12-16 19:03:31	wofs_ls_186058_2019-12-16.stac-item
2020-10-14 18:19:30	wofs_ls_179056_2020-10-14.stac-item
2021-03-24 19:00:38	wofs_ls_186052_2021-03-24.stac-item
2022-01-21 18:20:57	wofs_ls_179060_2022-01-21.stac-item
2022-04-14 17:10:14	wofs_ls_168054_2022-04-14.stac-item
2022-05-31 17:19:41	wofs_ls_169063_2022-05-31.stac-item
2022-08-14 17:58:45	wofs_ls_174081_2022-08-14.stac-item
2022-08-31 20:54:55	wofs_ls_205043_2022-08-31.stac-item
2022-11-09 17:14:38	wofs_ls_167079_2022-11-09.stac-item
2022-12-09 18:59:53	wofs_ls_185064_2022-12-09.stac-item
2022-12-20 16:57:39	wofs_ls_166052_2022-12-20.stac-item
2023-02-07 20:54:47	wofs_ls_205042_2023-02-07.stac-item
2023-02-16 16:00:39	wofs_ls_156064_2023-02-16.stac-item
2023-05-01 18:53:56	wofs_ls_186036_2023-05-01.stac-item
2024-04-29 17:01:14	wofs_ls_166063_2024-04-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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