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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
2013-12-06 17:42:31	wofs_ls_171084_2013-12-06.stac-item
2015-04-16 17:35:29	wofs_ls_171072_2015-04-16.stac-item
2015-11-05 20:23:53	wofs_ls_200043_2015-11-05.stac-item
2016-07-13 16:52:59	wofs_ls_165057_2016-07-13.stac-item
2016-11-08 18:02:21	wofs_ls_175075_2016-11-08.stac-item
2016-12-20 18:36:09	wofs_ls_181067_2016-12-20.stac-item
2017-03-20 17:36:10	wofs_ls_171073_2017-03-20.stac-item
2017-05-23 17:28:03	wofs_ls_171053_2017-05-23.stac-item
2018-08-25 17:15:53	wofs_ls_168069_2018-08-25.stac-item
2018-10-19 20:26:38	wofs_ls_201035_2018-10-19.stac-item
2018-11-22 20:19:07	wofs_ls_199047_2018-11-22.stac-item
2019-05-18 21:00:04	wofs_ls_206042_2019-05-18.stac-item
2019-09-15 18:41:34	wofs_ls_182065_2019-09-15.stac-item
2020-11-28 17:50:12	wofs_ls_174060_2020-11-28.stac-item
2021-01-15 21:01:49	wofs_ls_206045_2021-01-15.stac-item
2021-07-29 19:57:41	wofs_ls_195055_2021-07-29.stac-item
2021-08-10 17:08:19	wofs_ls_167064_2021-08-10.stac-item
2021-09-18 17:17:03	wofs_ls_168070_2021-09-18.stac-item
2021-09-25 18:57:46	wofs_ls_185059_2021-09-25.stac-item
2022-04-12 20:40:21	wofs_ls_202054_2022-04-12.stac-item
2022-08-16 19:15:43	wofs_ls_188057_2022-08-16.stac-item
2023-01-26 18:12:22	wofs_ls_177069_2023-01-26.stac-item
2023-05-06 17:50:16	wofs_ls_173078_2023-05-06.stac-item
2023-08-29 19:00:22	wofs_ls_186051_2023-08-29.stac-item
2024-03-13 18:38:57	wofs_ls_181075_2024-03-13.stac-item
2024-03-24 19:49:10	wofs_ls_194050_2024-03-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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