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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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36 results

Time (local)	Label
2013-04-04 20:09:32	wofs_ls_197050_2013-04-04.stac-item
2013-05-12 17:33:15	wofs_ls_171060_2013-05-12.stac-item
2013-12-24 17:25:36	wofs_ls_169073_2013-12-24.stac-item
2014-03-16 17:09:29	wofs_ls_167066_2014-03-16.stac-item
2014-04-20 19:12:42	wofs_ls_188051_2014-04-20.stac-item
2015-05-10 16:38:33	wofs_ls_163054_2015-05-10.stac-item
2015-08-09 17:58:17	wofs_ls_176051_2015-08-09.stac-item
2016-06-03 16:05:40	wofs_ls_157063_2016-06-03.stac-item
2016-08-07 16:45:18	wofs_ls_164053_2016-08-07.stac-item
2017-07-24 19:12:31	wofs_ls_189035_2017-07-24.stac-item
2017-07-27 16:39:13	wofs_ls_162069_2017-07-27.stac-item
2017-07-28 17:24:29	wofs_ls_169074_2017-07-28.stac-item
2017-09-03 16:00:19	wofs_ls_156064_2017-09-03.stac-item
2017-10-02 18:44:32	wofs_ls_183057_2017-10-02.stac-item
2018-12-04 15:54:20	wofs_ls_155065_2018-12-04.stac-item
2019-03-23 18:32:06	wofs_ls_182043_2019-03-23.stac-item
2019-12-15 18:12:17	wofs_ls_179038_2019-12-15.stac-item
2019-12-17 18:11:53	wofs_ls_177068_2019-12-17.stac-item
2020-06-25 17:24:05	wofs_ls_170058_2020-06-25.stac-item
2020-09-02 17:44:15	wofs_ls_173061_2020-09-02.stac-item
2020-12-06 17:04:46	wofs_ls_166070_2020-12-06.stac-item
2021-02-10 15:14:51	wofs_ls_148074_2021-02-10.stac-item
2021-04-04 17:06:21	wofs_ls_167060_2021-04-04.stac-item
2021-07-24 17:53:27	wofs_ls_176038_2021-07-24.stac-item
2022-02-17 19:31:36	wofs_ls_192036_2022-02-17.stac-item
2022-04-29 17:27:05	wofs_ls_169081_2022-04-29.stac-item
2022-04-30 19:35:40	wofs_ls_192047_2022-04-30.stac-item
2022-05-24 17:10:18	wofs_ls_168055_2022-05-24.stac-item
2022-06-18 19:29:09	wofs_ls_191045_2022-06-18.stac-item
2022-08-11 18:04:11	wofs_ls_177049_2022-08-11.stac-item
2023-01-03 17:14:50	wofs_ls_168064_2023-01-03.stac-item
2023-03-04 17:46:54	wofs_ls_172083_2023-03-04.stac-item
2023-05-08 16:37:57	wofs_ls_163051_2023-05-08.stac-item
2023-05-27 18:02:44	wofs_ls_176063_2023-05-27.stac-item
2024-01-09 16:54:21	wofs_ls_165060_2024-01-09.stac-item
2024-04-22 17:45:32	wofs_ls_173066_2024-04-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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