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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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27 results

Time (local)	Label
2013-04-11 18:16:21	wofs_ls_178056_2013-04-11.stac-item
2013-06-26 17:00:46	wofs_ls_166056_2013-06-26.stac-item
2014-03-30 18:54:29	wofs_ls_185051_2014-03-30.stac-item
2014-11-16 17:30:32	wofs_ls_170073_2014-11-16.stac-item
2016-04-26 16:39:01	wofs_ls_163054_2016-04-26.stac-item
2017-03-07 18:00:26	wofs_ls_176056_2017-03-07.stac-item
2017-07-17 19:15:50	wofs_ls_188059_2017-07-17.stac-item
2017-12-21 20:15:00	wofs_ls_199036_2017-12-21.stac-item
2018-09-07 19:49:16	wofs_ls_195035_2018-09-07.stac-item
2019-01-12 15:59:39	wofs_ls_156063_2019-01-12.stac-item
2019-11-20 16:54:22	wofs_ls_164075_2019-11-20.stac-item
2020-07-29 17:13:55	wofs_ls_168063_2020-07-29.stac-item
2021-01-08 17:50:41	wofs_ls_173077_2021-01-08.stac-item
2021-05-04 17:19:40	wofs_ls_169063_2021-05-04.stac-item
2022-01-08 18:06:52	wofs_ls_176071_2022-01-08.stac-item
2022-01-15 18:54:29	wofs_ls_185051_2022-01-15.stac-item
2022-07-10 18:58:53	wofs_ls_185062_2022-07-10.stac-item
2022-08-12 18:48:15	wofs_ls_184051_2022-08-12.stac-item
2022-09-14 16:24:13	wofs_ls_159077_2022-09-14.stac-item
2022-10-07 17:12:10	wofs_ls_168057_2022-10-07.stac-item
2022-10-16 20:14:56	wofs_ls_199035_2022-10-16.stac-item
2022-12-19 18:01:15	wofs_ls_175072_2022-12-19.stac-item
2023-01-09 19:43:33	wofs_ls_194034_2023-01-09.stac-item
2023-01-26 17:25:44	wofs_ls_169076_2023-01-26.stac-item
2023-02-13 20:16:05	wofs_ls_199038_2023-02-13.stac-item
2023-09-02 18:44:26	wofs_ls_182073_2023-09-02.stac-item
2024-05-24 17:41:56	wofs_ls_173058_2024-05-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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