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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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30 results

Time (local)	Label
2013-12-08 17:24:33	wofs_ls_169070_2013-12-08.stac-item
2014-04-06 19:04:11	wofs_ls_186060_2014-04-06.stac-item
2017-02-13 18:40:03	wofs_ls_182062_2017-02-13.stac-item
2018-03-24 18:17:41	wofs_ls_178069_2018-03-24.stac-item
2018-06-12 19:48:44	wofs_ls_194051_2018-06-12.stac-item
2018-06-15 17:06:17	wofs_ls_167062_2018-06-15.stac-item
2018-11-14 17:55:59	wofs_ls_175060_2018-11-14.stac-item
2019-03-30 20:18:20	wofs_ls_199046_2019-03-30.stac-item
2019-07-17 18:22:30	wofs_ls_178080_2019-07-17.stac-item
2019-08-01 17:26:35	wofs_ls_171048_2019-08-01.stac-item
2020-05-09 19:44:41	wofs_ls_193055_2020-05-09.stac-item
2021-01-30 20:14:32	wofs_ls_199035_2021-01-30.stac-item
2021-02-02 17:44:24	wofs_ls_172077_2021-02-02.stac-item
2021-03-23 18:24:10	wofs_ls_179069_2021-03-23.stac-item
2021-11-24 20:57:25	wofs_ls_205049_2021-11-24.stac-item
2021-12-18 20:05:58	wofs_ls_197044_2021-12-18.stac-item
2022-02-20 17:48:13	wofs_ls_173071_2022-02-20.stac-item
2022-05-09 20:21:52	wofs_ls_199054_2022-05-09.stac-item
2022-07-02 17:14:51	wofs_ls_169050_2022-07-02.stac-item
2022-07-02 18:05:27	wofs_ls_177052_2022-07-02.stac-item
2022-09-01 15:15:00	wofs_ls_148074_2022-09-01.stac-item
2022-10-29 19:02:52	wofs_ls_186056_2022-10-29.stac-item
2022-12-06 16:53:17	wofs_ls_164072_2022-12-06.stac-item
2022-12-09 18:57:30	wofs_ls_185058_2022-12-09.stac-item
2023-03-12 17:31:54	wofs_ls_172046_2023-03-12.stac-item
2023-03-17 18:50:25	wofs_ls_183072_2023-03-17.stac-item
2023-04-10 17:10:10	wofs_ls_167070_2023-04-10.stac-item
2024-04-24 17:39:33	wofs_ls_171082_2024-04-24.stac-item
2024-04-27 20:23:00	wofs_ls_200042_2024-04-27.stac-item
2024-05-18 21:33:16	wofs_ls_211049_2024-05-18.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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