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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
2013-10-22 18:08:24	wofs_ls_176071_2013-10-22.stac-item
2014-03-07 17:20:32	wofs_ls_168078_2014-03-07.stac-item
2015-05-23 17:48:55	wofs_ls_174060_2015-05-23.stac-item
2016-03-17 19:05:38	wofs_ls_187049_2016-03-17.stac-item
2016-05-29 17:22:48	wofs_ls_170055_2016-05-29.stac-item
2016-07-06 15:14:39	wofs_ls_148074_2016-07-06.stac-item
2016-07-13 20:06:46	wofs_ls_197047_2016-07-13.stac-item
2018-01-28 18:07:08	wofs_ls_177057_2018-01-28.stac-item
2018-12-08 17:14:04	wofs_ls_167079_2018-12-08.stac-item
2020-05-30 20:03:19	wofs_ls_196055_2020-05-30.stac-item
2020-06-18 15:45:20	wofs_ls_153074_2020-06-18.stac-item
2021-12-28 18:18:16	wofs_ls_179053_2021-12-28.stac-item
2022-02-04 19:21:38	wofs_ls_189057_2022-02-04.stac-item
2022-05-09 18:45:22	wofs_ls_183060_2022-05-09.stac-item
2022-05-31 20:31:52	wofs_ls_201049_2022-05-31.stac-item
2022-07-18 20:32:36	wofs_ls_201050_2022-07-18.stac-item
2022-10-19 18:27:24	wofs_ls_180060_2022-10-19.stac-item
2022-11-14 17:24:25	wofs_ls_170057_2022-11-14.stac-item
2022-11-27 18:36:45	wofs_ls_181068_2022-11-27.stac-item
2023-01-14 16:59:01	wofs_ls_165071_2023-01-14.stac-item
2023-02-19 20:27:21	wofs_ls_201036_2023-02-19.stac-item
2023-02-26 19:02:29	wofs_ls_186056_2023-02-26.stac-item
2023-03-08 16:28:30	wofs_ls_160073_2023-03-08.stac-item
2023-07-27 18:18:47	wofs_ls_179056_2023-07-27.stac-item
2023-08-15 17:20:08	wofs_ls_168079_2023-08-15.stac-item
2024-05-07 17:02:06	wofs_ls_166066_2024-05-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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