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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

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Dataset URI:

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26 results

Time (local)	Label
2014-06-07 17:33:35	wofs_ls_172051_2014-06-07.stac-item
2015-12-14 20:27:18	wofs_ls_201036_2015-12-14.stac-item
2016-04-14 19:27:45	wofs_ls_191043_2016-04-14.stac-item
2016-10-02 17:40:08	wofs_ls_172066_2016-10-02.stac-item
2017-06-24 19:03:59	wofs_ls_187045_2017-06-24.stac-item
2018-01-18 17:40:55	wofs_ls_171084_2018-01-18.stac-item
2019-08-18 18:09:57	wofs_ls_178048_2019-08-18.stac-item
2019-11-15 18:07:57	wofs_ls_177058_2019-11-15.stac-item
2020-02-16 20:52:06	wofs_ls_204052_2020-02-16.stac-item
2020-03-28 17:39:02	wofs_ls_171080_2020-03-28.stac-item
2022-02-27 20:16:37	wofs_ls_198056_2022-02-27.stac-item
2022-04-18 20:04:04	wofs_ls_196056_2022-04-18.stac-item
2022-04-29 19:41:28	wofs_ls_193046_2022-04-29.stac-item
2022-05-02 18:38:19	wofs_ls_182058_2022-05-02.stac-item
2022-08-11 19:45:28	wofs_ls_193055_2022-08-11.stac-item
2022-10-15 20:21:49	wofs_ls_200037_2022-10-15.stac-item
2022-10-22 18:14:35	wofs_ls_177074_2022-10-22.stac-item
2022-12-12 17:55:06	wofs_ls_174072_2022-12-12.stac-item
2023-02-13 20:19:16	wofs_ls_199046_2023-02-13.stac-item
2023-02-20 17:17:31	wofs_ls_168071_2023-02-20.stac-item
2023-04-12 20:06:23	wofs_ls_197047_2023-04-12.stac-item
2023-09-12 17:34:23	wofs_ls_172052_2023-09-12.stac-item
2024-02-07 16:30:13	wofs_ls_160077_2024-02-07.stac-item
2024-02-29 18:17:31	wofs_ls_178067_2024-02-29.stac-item
2024-03-02 17:14:43	wofs_ls_168065_2024-03-02.stac-item
2024-03-26 17:08:28	wofs_ls_168049_2024-03-26.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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