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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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32 results

Time (local)	Label
2013-06-25 16:25:28	wofs_ls_159076_2013-06-25.stac-item
2013-10-01 19:23:15	wofs_ls_189057_2013-10-01.stac-item
2013-11-09 16:15:54	wofs_ls_158068_2013-11-09.stac-item
2014-06-23 17:40:48	wofs_ls_172069_2014-06-23.stac-item
2014-09-28 18:27:40	wofs_ls_179077_2014-09-28.stac-item
2014-12-03 18:08:11	wofs_ls_177059_2014-12-03.stac-item
2014-12-14 19:18:29	wofs_ls_190034_2014-12-14.stac-item
2015-07-15 19:41:39	wofs_ls_193047_2015-07-15.stac-item
2015-09-28 17:59:27	wofs_ls_174084_2015-09-28.stac-item
2016-08-24 20:46:02	wofs_ls_203052_2016-08-24.stac-item
2017-05-23 19:09:44	wofs_ls_187060_2017-05-23.stac-item
2017-09-25 17:06:36	wofs_ls_166075_2017-09-25.stac-item
2017-10-21 19:14:42	wofs_ls_188055_2017-10-21.stac-item
2018-03-25 20:33:26	wofs_ls_201053_2018-03-25.stac-item
2018-07-17 17:14:10	wofs_ls_167081_2018-07-17.stac-item
2019-02-26 18:48:22	wofs_ls_183068_2019-02-26.stac-item
2019-08-10 19:04:08	wofs_ls_186060_2019-08-10.stac-item
2020-01-04 19:32:44	wofs_ls_191054_2020-01-04.stac-item
2020-03-02 16:54:35	wofs_ls_165061_2020-03-02.stac-item
2022-01-02 17:41:21	wofs_ls_174038_2022-01-02.stac-item
2022-02-04 16:57:10	wofs_ls_165067_2022-02-04.stac-item
2022-03-19 17:23:33	wofs_ls_170056_2022-03-19.stac-item
2022-04-30 18:53:02	wofs_ls_184064_2022-04-30.stac-item
2022-08-23 16:58:27	wofs_ls_165070_2022-08-23.stac-item
2022-09-29 19:30:59	wofs_ls_192033_2022-09-29.stac-item
2022-10-16 18:06:03	wofs_ls_175084_2022-10-16.stac-item
2023-03-06 19:52:17	wofs_ls_194057_2023-03-06.stac-item
2023-04-25 18:47:53	wofs_ls_184051_2023-04-25.stac-item
2023-07-22 17:08:31	wofs_ls_168050_2023-07-22.stac-item
2023-08-04 16:40:56	wofs_ls_163058_2023-08-04.stac-item
2024-02-09 18:44:24	wofs_ls_182072_2024-02-09.stac-item
2024-04-07 19:15:10	wofs_ls_188057_2024-04-07.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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