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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
2014-05-19 20:22:41	wofs_ls_199057_2014-05-19.stac-item
2016-04-24 16:53:21	wofs_ls_165059_2016-04-24.stac-item
2016-06-06 18:20:15	wofs_ls_178075_2016-06-06.stac-item
2016-09-24 16:47:06	wofs_ls_164057_2016-09-24.stac-item
2017-04-08 18:05:20	wofs_ls_176069_2017-04-08.stac-item
2017-04-24 18:06:22	wofs_ls_176072_2017-04-24.stac-item
2017-08-08 18:43:18	wofs_ls_182070_2017-08-08.stac-item
2017-11-08 17:25:49	wofs_ls_170061_2017-11-08.stac-item
2017-12-29 18:04:59	wofs_ls_175082_2017-12-29.stac-item
2019-01-10 17:49:19	wofs_ls_174059_2019-01-10.stac-item
2019-02-08 20:32:06	wofs_ls_201049_2019-02-08.stac-item
2019-04-20 17:27:21	wofs_ls_170067_2019-04-20.stac-item
2019-10-08 17:09:22	wofs_ls_167066_2019-10-08.stac-item
2021-02-02 17:35:14	wofs_ls_172054_2021-02-02.stac-item
2021-06-13 18:08:14	wofs_ls_177060_2021-06-13.stac-item
2022-01-06 16:39:33	wofs_ls_162069_2022-01-06.stac-item
2022-01-08 16:28:23	wofs_ls_160072_2022-01-08.stac-item
2022-08-27 17:17:06	wofs_ls_169054_2022-08-27.stac-item
2023-02-06 17:50:38	wofs_ls_174061_2023-02-06.stac-item
2023-03-07 18:06:35	wofs_ls_177055_2023-03-07.stac-item
2023-03-22 17:30:01	wofs_ls_170072_2023-03-22.stac-item
2023-04-28 17:43:03	wofs_ls_173059_2023-04-28.stac-item
2023-05-14 16:51:56	wofs_ls_165056_2023-05-14.stac-item
2023-09-04 19:12:22	wofs_ls_188050_2023-09-04.stac-item
2023-09-14 20:39:24	wofs_ls_202051_2023-09-14.stac-item
2024-02-16 20:14:14	wofs_ls_199034_2024-02-16.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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