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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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32 results

Time (local)	Label
2013-06-07 19:47:19	wofs_ls_193055_2013-06-07.stac-item
2014-04-26 17:01:50	wofs_ls_166064_2014-04-26.stac-item
2016-03-06 21:02:20	wofs_ls_206047_2016-03-06.stac-item
2017-02-15 18:19:19	wofs_ls_180041_2017-02-15.stac-item
2017-04-10 17:48:10	wofs_ls_174057_2017-04-10.stac-item
2017-07-23 17:05:54	wofs_ls_166074_2017-07-23.stac-item
2018-01-01 19:57:37	wofs_ls_196039_2018-01-01.stac-item
2018-06-30 18:10:27	wofs_ls_176083_2018-06-30.stac-item
2018-10-14 17:05:26	wofs_ls_166073_2018-10-14.stac-item
2019-04-07 16:21:51	wofs_ls_159073_2019-04-07.stac-item
2019-08-31 17:45:28	wofs_ls_173064_2019-08-31.stac-item
2020-04-20 17:40:15	wofs_ls_172068_2020-04-20.stac-item
2021-01-17 19:16:32	wofs_ls_188060_2021-01-17.stac-item
2021-12-26 18:31:01	wofs_ls_181054_2021-12-26.stac-item
2022-03-20 18:49:21	wofs_ls_185039_2022-03-20.stac-item
2022-03-23 18:39:40	wofs_ls_182061_2022-03-23.stac-item
2022-05-21 17:30:52	wofs_ls_171059_2022-05-21.stac-item
2022-06-14 19:00:39	wofs_ls_187037_2022-06-14.stac-item
2022-08-15 20:08:57	wofs_ls_197051_2022-08-15.stac-item
2022-10-23 18:07:28	wofs_ls_176072_2022-10-23.stac-item
2022-12-26 17:18:22	wofs_ls_168073_2022-12-26.stac-item
2023-02-17 19:08:26	wofs_ls_187055_2023-02-17.stac-item
2023-02-28 17:13:38	wofs_ls_168062_2023-02-28.stac-item
2023-03-07 20:32:20	wofs_ls_201049_2023-03-07.stac-item
2023-04-02 19:31:53	wofs_ls_191053_2023-04-02.stac-item
2023-06-03 18:48:56	wofs_ls_185039_2023-06-03.stac-item
2023-08-21 19:00:25	wofs_ls_186051_2023-08-21.stac-item
2023-08-26 16:06:23	wofs_ls_157064_2023-08-26.stac-item
2023-09-06 16:32:07	wofs_ls_162051_2023-09-06.stac-item
2024-01-15 18:44:10	wofs_ls_183056_2024-01-15.stac-item
2024-03-05 19:19:40	wofs_ls_189053_2024-03-05.stac-item
2024-03-28 19:24:45	wofs_ls_190051_2024-03-28.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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