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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
2013-04-29 19:32:07	wofs_ls_192033_2013-04-29.stac-item
2015-12-16 18:48:48	wofs_ls_183068_2015-12-16.stac-item
2016-08-16 18:20:26	wofs_ls_179059_2016-08-16.stac-item
2017-10-21 19:07:55	wofs_ls_188038_2017-10-21.stac-item
2018-05-13 18:01:39	wofs_ls_176061_2018-05-13.stac-item
2018-05-19 17:27:41	wofs_ls_170069_2018-05-19.stac-item
2019-02-12 20:10:57	wofs_ls_197058_2019-02-12.stac-item
2019-09-04 17:17:10	wofs_ls_169055_2019-09-04.stac-item
2019-11-03 17:41:40	wofs_ls_173054_2019-11-03.stac-item
2020-01-02 18:11:24	wofs_ls_177067_2020-01-02.stac-item
2020-01-25 16:39:25	wofs_ls_162069_2020-01-25.stac-item
2020-03-20 18:21:22	wofs_ls_179062_2020-03-20.stac-item
2020-09-11 17:33:44	wofs_ls_172050_2020-09-11.stac-item
2020-11-27 18:48:13	wofs_ls_183066_2020-11-27.stac-item
2021-03-02 18:11:22	wofs_ls_176083_2021-03-02.stac-item
2021-07-19 17:37:39	wofs_ls_173045_2021-07-19.stac-item
2022-01-27 16:57:42	wofs_ls_165068_2022-01-27.stac-item
2022-02-09 17:16:05	wofs_ls_168068_2022-02-09.stac-item
2022-03-07 17:02:50	wofs_ls_166066_2022-03-07.stac-item
2022-07-10 17:15:36	wofs_ls_169051_2022-07-10.stac-item
2022-07-13 18:41:30	wofs_ls_182066_2022-07-13.stac-item
2022-11-22 18:19:02	wofs_ls_178070_2022-11-22.stac-item
2023-01-16 17:31:37	wofs_ls_171060_2023-01-16.stac-item
2023-03-24 17:14:03	wofs_ls_168063_2023-03-24.stac-item
2023-08-03 18:25:05	wofs_ls_180056_2023-08-03.stac-item
2024-02-20 19:09:04	wofs_ls_187057_2024-02-20.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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