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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
2013-07-13 19:21:22	wofs_ls_189052_2013-07-13.stac-item
2014-05-29 17:52:50	wofs_ls_173084_2014-05-29.stac-item
2014-09-20 17:25:51	wofs_ls_171046_2014-09-20.stac-item
2014-11-22 18:29:54	wofs_ls_180067_2014-11-22.stac-item
2016-03-09 19:49:57	wofs_ls_195036_2016-03-09.stac-item
2016-07-31 18:18:47	wofs_ls_179055_2016-07-31.stac-item
2017-03-14 21:21:55	wofs_ls_209050_2017-03-14.stac-item
2017-12-06 17:53:36	wofs_ls_174069_2017-12-06.stac-item
2018-01-04 18:57:35	wofs_ls_185059_2018-01-04.stac-item
2018-10-01 19:06:21	wofs_ls_187051_2018-10-01.stac-item
2019-03-23 18:39:40	wofs_ls_182062_2019-03-23.stac-item
2019-06-16 17:15:36	wofs_ls_169052_2019-06-16.stac-item
2019-10-05 18:18:32	wofs_ls_178069_2019-10-05.stac-item
2020-04-16 16:20:08	wofs_ls_160053_2020-04-16.stac-item
2020-09-30 19:43:13	wofs_ls_193049_2020-09-30.stac-item
2020-11-23 17:32:27	wofs_ls_171062_2020-11-23.stac-item
2021-03-19 17:07:37	wofs_ls_167063_2021-03-19.stac-item
2021-07-31 19:36:35	wofs_ls_193033_2021-07-31.stac-item
2021-12-05 20:37:41	wofs_ls_202046_2021-12-05.stac-item
2022-01-28 19:59:11	wofs_ls_196043_2022-01-28.stac-item
2022-06-27 17:03:53	wofs_ls_166069_2022-06-27.stac-item
2022-07-03 18:07:40	wofs_ls_176074_2022-07-03.stac-item
2022-07-24 18:19:56	wofs_ls_179058_2022-07-24.stac-item
2022-07-26 16:32:18	wofs_ls_161067_2022-07-26.stac-item
2022-08-09 19:07:54	wofs_ls_187053_2022-08-09.stac-item
2024-03-09 17:18:25	wofs_ls_169059_2024-03-09.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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