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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
2013-11-15 17:22:03	wofs_ls_168079_2013-11-15.stac-item
2013-11-18 17:54:55	wofs_ls_173084_2013-11-18.stac-item
2014-05-23 19:51:34	wofs_ls_195041_2014-05-23.stac-item
2014-09-04 20:43:14	wofs_ls_203045_2014-09-04.stac-item
2014-09-29 17:22:29	wofs_ls_170053_2014-09-29.stac-item
2016-04-12 19:40:07	wofs_ls_193043_2016-04-12.stac-item
2017-02-11 20:26:07	wofs_ls_200049_2017-02-11.stac-item
2017-06-02 16:35:31	wofs_ls_161076_2017-06-02.stac-item
2018-07-27 20:53:07	wofs_ls_205041_2018-07-27.stac-item
2018-10-19 20:35:00	wofs_ls_201056_2018-10-19.stac-item
2018-12-08 18:42:59	wofs_ls_183054_2018-12-08.stac-item
2019-04-09 19:12:06	wofs_ls_189035_2019-04-09.stac-item
2020-05-01 20:34:36	wofs_ls_201056_2020-05-01.stac-item
2020-05-09 19:39:06	wofs_ls_193041_2020-05-09.stac-item
2021-01-01 19:07:30	wofs_ls_188037_2021-01-01.stac-item
2021-01-23 20:08:46	wofs_ls_198036_2021-01-23.stac-item
2021-11-01 19:56:32	wofs_ls_195052_2021-11-01.stac-item
2022-03-23 16:58:00	wofs_ls_166054_2022-03-23.stac-item
2022-03-23 16:58:00	wofs_ls_166054_2022-03-23.stac-item
2022-06-29 16:50:44	wofs_ls_164067_2022-06-29.stac-item
2022-08-28 17:20:12	wofs_ls_168078_2022-08-28.stac-item
2022-11-30 17:19:35	wofs_ls_170045_2022-11-30.stac-item
2024-02-21 16:34:10	wofs_ls_162056_2024-02-21.stac-item
2024-03-15 15:53:47	wofs_ls_155063_2024-03-15.stac-item
2024-05-02 16:39:13	wofs_ls_163055_2024-05-02.stac-item
2024-05-06 16:20:51	wofs_ls_159071_2024-05-06.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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