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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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

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Dataset URI:

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27 results

Time (local)	Label
2013-11-23 19:40:18	wofs_ls_192054_2013-11-23.stac-item
2014-01-15 18:20:19	wofs_ls_179056_2014-01-15.stac-item
2014-05-27 16:19:29	wofs_ls_159067_2014-05-27.stac-item
2014-11-21 17:50:13	wofs_ls_173076_2014-11-21.stac-item
2015-11-07 18:39:49	wofs_ls_182061_2015-11-07.stac-item
2015-12-25 16:56:34	wofs_ls_166050_2015-12-25.stac-item
2016-02-21 20:51:10	wofs_ls_204050_2016-02-21.stac-item
2016-05-10 18:32:41	wofs_ls_181060_2016-05-10.stac-item
2016-06-30 17:25:23	wofs_ls_170061_2016-06-30.stac-item
2016-09-26 18:21:12	wofs_ls_178076_2016-09-26.stac-item
2017-06-02 18:09:13	wofs_ls_177063_2017-06-02.stac-item
2018-04-12 18:35:16	wofs_ls_183036_2018-04-12.stac-item
2019-01-08 18:08:04	wofs_ls_176075_2019-01-08.stac-item
2019-01-27 20:05:01	wofs_ls_197043_2019-01-27.stac-item
2019-02-17 17:12:31	wofs_ls_168060_2019-02-17.stac-item
2019-06-18 17:04:27	wofs_ls_167055_2019-06-18.stac-item
2020-02-20 17:15:35	wofs_ls_168067_2020-02-20.stac-item
2022-02-13 17:36:55	wofs_ls_172058_2022-02-13.stac-item
2022-03-27 18:13:20	wofs_ls_178057_2022-03-27.stac-item
2022-05-05 20:40:58	wofs_ls_203040_2022-05-05.stac-item
2022-11-07 18:49:31	wofs_ls_185038_2022-11-07.stac-item
2022-11-14 17:28:00	wofs_ls_170066_2022-11-14.stac-item
2023-02-12 17:53:57	wofs_ls_176038_2023-02-12.stac-item
2023-04-27 17:05:23	wofs_ls_166073_2023-04-27.stac-item
2023-05-21 20:15:53	wofs_ls_198056_2023-05-21.stac-item
2024-01-13 18:10:55	wofs_ls_177066_2024-01-13.stac-item
2024-03-29 16:57:49	wofs_ls_165070_2024-03-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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