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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
2013-08-04 17:06:37	wofs_ls_167055_2013-08-04.stac-item
2014-06-10 19:44:59	wofs_ls_193055_2014-06-10.stac-item
2014-09-01 18:37:25	wofs_ls_182055_2014-09-01.stac-item
2015-02-24 18:37:31	wofs_ls_182056_2015-02-24.stac-item
2015-06-13 16:25:36	wofs_ls_161052_2015-06-13.stac-item
2016-06-25 18:43:41	wofs_ls_183056_2016-06-25.stac-item
2017-01-02 16:27:56	wofs_ls_160071_2017-01-02.stac-item
2017-03-09 17:53:38	wofs_ls_174070_2017-03-09.stac-item
2017-05-27 18:47:02	wofs_ls_183065_2017-05-27.stac-item
2017-08-20 17:30:48	wofs_ls_170074_2017-08-20.stac-item
2018-01-15 17:04:51	wofs_ls_166071_2018-01-15.stac-item
2018-08-18 20:22:38	wofs_ls_199057_2018-08-18.stac-item
2018-11-27 19:04:21	wofs_ls_186061_2018-11-27.stac-item
2019-06-30 17:30:25	wofs_ls_171058_2019-06-30.stac-item
2019-09-04 20:33:45	wofs_ls_201052_2019-09-04.stac-item
2021-11-10 17:45:15	wofs_ls_173058_2021-11-10.stac-item
2021-11-12 17:16:56	wofs_ls_169054_2021-11-12.stac-item
2022-02-16 19:40:18	wofs_ls_193042_2022-02-16.stac-item
2022-04-17 16:53:16	wofs_ls_165058_2022-04-17.stac-item
2022-05-14 19:03:57	wofs_ls_186060_2022-05-14.stac-item
2022-11-21 18:24:29	wofs_ls_179068_2022-11-21.stac-item
2024-02-12 18:20:03	wofs_ls_179058_2024-02-12.stac-item
2024-03-07 18:20:57	wofs_ls_179060_2024-03-07.stac-item
2024-04-11 18:03:24	wofs_ls_176064_2024-04-11.stac-item
2024-04-12 18:49:26	wofs_ls_183071_2024-04-12.stac-item
2024-05-12 17:24:10	wofs_ls_169075_2024-05-12.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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