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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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27 results

Time (local)	Label
2013-11-19 18:26:35	wofs_ls_180055_2013-11-19.stac-item
2014-06-05 16:14:13	wofs_ls_158069_2014-06-05.stac-item
2015-11-28 20:34:29	wofs_ls_201054_2015-11-28.stac-item
2016-07-07 19:10:54	wofs_ls_187062_2016-07-07.stac-item
2017-04-07 17:22:05	wofs_ls_169069_2017-04-07.stac-item
2017-07-13 18:01:14	wofs_ls_176058_2017-07-13.stac-item
2018-01-12 18:10:04	wofs_ls_177064_2018-01-12.stac-item
2018-02-23 20:18:32	wofs_ls_199046_2018-02-23.stac-item
2018-04-12 17:03:33	wofs_ls_167054_2018-04-12.stac-item
2018-07-28 16:47:19	wofs_ls_164060_2018-07-28.stac-item
2018-12-08 17:12:28	wofs_ls_167075_2018-12-08.stac-item
2020-04-19 20:09:35	wofs_ls_197055_2020-04-19.stac-item
2020-05-12 20:14:00	wofs_ls_198051_2020-05-12.stac-item
2020-08-04 16:34:04	wofs_ls_162056_2020-08-04.stac-item
2020-12-19 18:16:43	wofs_ls_177080_2020-12-19.stac-item
2021-09-19 17:54:20	wofs_ls_175055_2021-09-19.stac-item
2021-12-20 19:09:17	wofs_ls_187057_2021-12-20.stac-item
2022-01-03 19:20:03	wofs_ls_189053_2022-01-03.stac-item
2022-01-28 19:16:16	wofs_ls_188059_2022-01-28.stac-item
2022-02-01 20:29:13	wofs_ls_200056_2022-02-01.stac-item
2022-05-19 16:57:45	wofs_ls_165070_2022-05-19.stac-item
2022-08-18 19:50:05	wofs_ls_194051_2022-08-18.stac-item
2022-10-31 17:12:01	wofs_ls_168057_2022-10-31.stac-item
2022-11-13 19:09:11	wofs_ls_187056_2022-11-13.stac-item
2022-11-23 19:41:51	wofs_ls_193045_2022-11-23.stac-item
2023-02-02 18:13:46	wofs_ls_178057_2023-02-02.stac-item
2024-03-02 19:38:53	wofs_ls_192054_2024-03-02.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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