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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
2013-07-12 20:17:23	wofs_ls_198053_2013-07-12.stac-item
2015-08-06 19:08:38	wofs_ls_187057_2015-08-06.stac-item
2015-12-29 18:18:17	wofs_ls_178069_2015-12-29.stac-item
2016-03-22 17:53:13	wofs_ls_174069_2016-03-22.stac-item
2016-08-12 17:05:50	wofs_ls_167058_2016-08-12.stac-item
2017-07-24 17:43:59	wofs_ls_173061_2017-07-24.stac-item
2017-08-08 16:56:27	wofs_ls_166050_2017-08-08.stac-item
2017-10-23 19:03:08	wofs_ls_186057_2017-10-23.stac-item
2018-05-23 18:39:24	wofs_ls_182063_2018-05-23.stac-item
2019-05-31 20:33:39	wofs_ls_201053_2019-05-31.stac-item
2019-12-25 17:22:00	wofs_ls_169067_2019-12-25.stac-item
2020-11-19 18:01:32	wofs_ls_175073_2020-11-19.stac-item
2021-01-30 17:09:31	wofs_ls_167067_2021-01-30.stac-item
2021-01-31 17:52:47	wofs_ls_174067_2021-01-31.stac-item
2022-05-04 19:12:55	wofs_ls_188052_2022-05-04.stac-item
2022-08-28 20:28:23	wofs_ls_200054_2022-08-28.stac-item
2022-09-01 20:04:52	wofs_ls_196057_2022-09-01.stac-item
2022-09-01 20:04:52	wofs_ls_196057_2022-09-01.stac-item
2022-09-03 18:16:01	wofs_ls_178063_2022-09-03.stac-item
2022-10-15 18:54:06	wofs_ls_184065_2022-10-15.stac-item
2022-11-11 17:50:15	wofs_ls_173075_2022-11-11.stac-item
2022-12-08 20:34:17	wofs_ls_202037_2022-12-08.stac-item
2023-05-19 20:26:38	wofs_ls_200052_2023-05-19.stac-item
2024-02-10 17:45:59	wofs_ls_173065_2024-02-10.stac-item
2024-02-22 18:52:19	wofs_ls_185046_2024-02-22.stac-item
2024-02-25 19:27:11	wofs_ls_190056_2024-02-25.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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