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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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31 results

Time (local)	Label
2013-12-25 16:29:10	wofs_ls_160071_2013-12-25.stac-item
2014-08-15 16:20:48	wofs_ls_159069_2014-08-15.stac-item
2014-12-29 18:47:32	wofs_ls_183065_2014-12-29.stac-item
2015-11-27 18:15:08	wofs_ls_178061_2015-11-27.stac-item
2016-09-29 18:44:07	wofs_ls_183056_2016-09-29.stac-item
2017-03-13 17:30:52	wofs_ls_170075_2017-03-13.stac-item
2017-05-16 19:03:28	wofs_ls_186060_2017-05-16.stac-item
2017-06-28 17:10:45	wofs_ls_167071_2017-06-28.stac-item
2017-07-25 18:26:03	wofs_ls_180058_2017-07-25.stac-item
2018-07-06 17:27:26	wofs_ls_170068_2018-07-06.stac-item
2018-10-29 19:31:38	wofs_ls_191052_2018-10-29.stac-item
2018-11-13 18:52:24	wofs_ls_184062_2018-11-13.stac-item
2019-07-04 17:09:42	wofs_ls_167068_2019-07-04.stac-item
2019-07-15 16:51:12	wofs_ls_164068_2019-07-15.stac-item
2020-04-28 18:24:26	wofs_ls_180055_2020-04-28.stac-item
2020-09-28 18:23:04	wofs_ls_179065_2020-09-28.stac-item
2020-10-12 20:06:22	wofs_ls_197045_2020-10-12.stac-item
2020-11-27 17:05:21	wofs_ls_167056_2020-11-27.stac-item
2021-06-17 17:44:19	wofs_ls_173062_2021-06-17.stac-item
2022-01-25 20:14:17	wofs_ls_199034_2022-01-25.stac-item
2022-02-06 15:57:05	wofs_ls_155071_2022-02-06.stac-item
2022-02-28 18:24:00	wofs_ls_181037_2022-02-28.stac-item
2022-03-01 19:06:51	wofs_ls_188036_2022-03-01.stac-item
2022-03-23 18:30:07	wofs_ls_182037_2022-03-23.stac-item
2022-07-17 18:10:50	wofs_ls_178051_2022-07-17.stac-item
2022-09-02 19:50:36	wofs_ls_195036_2022-09-02.stac-item
2022-10-01 19:28:11	wofs_ls_190057_2022-10-01.stac-item
2022-12-06 18:30:10	wofs_ls_180067_2022-12-06.stac-item
2023-01-10 18:57:05	wofs_ls_185057_2023-01-10.stac-item
2023-04-22 19:57:54	wofs_ls_195056_2023-04-22.stac-item
2024-03-14 18:23:55	wofs_ls_180052_2024-03-14.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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