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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
2013-11-14 21:23:06	wofs_ls_209048_2013-11-14.stac-item
2014-06-09 15:51:31	wofs_ls_154074_2014-06-09.stac-item
2014-09-18 17:43:24	wofs_ls_173059_2014-09-18.stac-item
2015-01-10 17:39:21	wofs_ls_171080_2015-01-10.stac-item
2015-01-12 20:27:13	wofs_ls_201036_2015-01-12.stac-item
2015-06-01 17:40:24	wofs_ls_173054_2015-06-01.stac-item
2015-10-23 17:36:35	wofs_ls_173042_2015-10-23.stac-item
2016-04-11 19:02:02	wofs_ls_186056_2016-04-11.stac-item
2016-12-20 18:36:33	wofs_ls_181068_2016-12-20.stac-item
2017-01-24 17:33:37	wofs_ls_170081_2017-01-24.stac-item
2019-05-21 18:21:59	wofs_ls_179064_2019-05-21.stac-item
2020-09-15 18:47:31	wofs_ls_184049_2020-09-15.stac-item
2020-09-28 19:49:35	wofs_ls_195034_2020-09-28.stac-item
2020-12-14 16:14:31	wofs_ls_158068_2020-12-14.stac-item
2021-04-25 19:00:26	wofs_ls_186052_2021-04-25.stac-item
2021-06-25 18:30:37	wofs_ls_181054_2021-06-25.stac-item
2021-12-05 19:43:54	wofs_ls_194035_2021-12-05.stac-item
2022-02-18 16:20:31	wofs_ls_159068_2022-02-18.stac-item
2022-03-24 16:52:52	wofs_ls_165057_2022-03-24.stac-item
2022-05-04 17:37:37	wofs_ls_172061_2022-05-04.stac-item
2022-08-08 17:36:51	wofs_ls_172058_2022-08-08.stac-item
2022-10-14 16:27:57	wofs_ls_161055_2022-10-14.stac-item
2022-10-18 20:53:56	wofs_ls_205040_2022-10-18.stac-item
2022-12-28 21:02:05	wofs_ls_206045_2022-12-28.stac-item
2023-04-21 17:43:44	wofs_ls_172076_2023-04-21.stac-item
2024-04-07 17:41:28	wofs_ls_172070_2024-04-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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