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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
2013-08-17 18:15:48	wofs_ls_178058_2013-08-17.stac-item
2013-08-27 20:22:14	wofs_ls_200034_2013-08-27.stac-item
2014-06-13 18:42:12	wofs_ls_182068_2014-06-13.stac-item
2014-08-21 17:24:37	wofs_ls_169074_2014-08-21.stac-item
2016-01-01 17:11:53	wofs_ls_167073_2016-01-01.stac-item
2016-01-19 20:08:06	wofs_ls_197050_2016-01-19.stac-item
2017-04-22 18:15:09	wofs_ls_178063_2017-04-22.stac-item
2017-04-28 17:39:12	wofs_ls_172066_2017-04-28.stac-item
2018-06-02 19:14:46	wofs_ls_188059_2018-06-02.stac-item
2018-09-30 16:44:12	wofs_ls_164051_2018-09-30.stac-item
2019-02-10 17:06:21	wofs_ls_167060_2019-02-10.stac-item
2019-05-15 17:16:56	wofs_ls_169056_2019-05-15.stac-item
2019-08-30 18:38:42	wofs_ls_182058_2019-08-30.stac-item
2020-10-14 18:24:17	wofs_ls_179068_2020-10-14.stac-item
2021-01-05 17:20:13	wofs_ls_168078_2021-01-05.stac-item
2021-03-19 17:08:01	wofs_ls_167064_2021-03-19.stac-item
2021-08-12 16:54:22	wofs_ls_165060_2021-08-12.stac-item
2022-02-02 17:05:32	wofs_ls_167057_2022-02-02.stac-item
2022-03-21 19:39:22	wofs_ls_192056_2022-03-21.stac-item
2022-06-02 20:21:30	wofs_ls_199054_2022-06-02.stac-item
2022-07-03 18:06:28	wofs_ls_176071_2022-07-03.stac-item
2022-08-12 18:11:54	wofs_ls_176083_2022-08-12.stac-item
2022-09-25 18:27:36	wofs_ls_180060_2022-09-25.stac-item
2022-10-23 18:11:51	wofs_ls_176083_2022-10-23.stac-item
2023-04-09 17:18:17	wofs_ls_168074_2023-04-09.stac-item
2023-04-14 17:29:10	wofs_ls_171055_2023-04-14.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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