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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
2014-09-20 20:40:26	wofs_ls_203038_2014-09-20.stac-item
2015-07-17 16:20:18	wofs_ls_159069_2015-07-17.stac-item
2015-10-10 18:17:47	wofs_ls_178068_2015-10-10.stac-item
2016-07-03 17:55:07	wofs_ls_175058_2016-07-03.stac-item
2017-01-24 19:03:20	wofs_ls_186058_2017-01-24.stac-item
2017-05-09 20:32:30	wofs_ls_201051_2017-05-09.stac-item
2018-05-07 17:02:19	wofs_ls_166067_2018-05-07.stac-item
2018-06-03 19:55:38	wofs_ls_195053_2018-06-03.stac-item
2019-04-04 20:36:27	wofs_ls_202045_2019-04-04.stac-item
2021-06-18 18:33:10	wofs_ls_180076_2021-06-18.stac-item
2021-11-10 17:45:39	wofs_ls_173059_2021-11-10.stac-item
2021-11-19 17:33:03	wofs_ls_170079_2021-11-19.stac-item
2021-12-09 17:00:47	wofs_ls_166060_2021-12-09.stac-item
2021-12-22 18:58:56	wofs_ls_185062_2021-12-22.stac-item
2022-04-07 17:55:58	wofs_ls_175060_2022-04-07.stac-item
2022-04-20 17:23:19	wofs_ls_170056_2022-04-20.stac-item
2022-04-28 19:49:14	wofs_ls_194050_2022-04-28.stac-item
2022-06-02 17:11:19	wofs_ls_167073_2022-06-02.stac-item
2022-06-29 18:24:50	wofs_ls_180055_2022-06-29.stac-item
2022-08-26 20:40:45	wofs_ls_202054_2022-08-26.stac-item
2022-10-19 20:04:17	wofs_ls_196055_2022-10-19.stac-item
2022-10-20 16:41:15	wofs_ls_163057_2022-10-20.stac-item
2022-11-10 18:43:06	wofs_ls_182068_2022-11-10.stac-item
2023-01-10 16:35:53	wofs_ls_161075_2023-01-10.stac-item
2024-01-23 17:13:02	wofs_ls_167076_2024-01-23.stac-item
2024-04-28 18:42:05	wofs_ls_183053_2024-04-28.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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