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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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30 results

Time (local)	Label
2013-09-04 19:35:10	wofs_ls_192040_2013-09-04.stac-item
2014-04-07 18:11:44	wofs_ls_177068_2014-04-07.stac-item
2014-08-22 16:27:48	wofs_ls_160071_2014-08-22.stac-item
2014-08-25 16:54:19	wofs_ls_165060_2014-08-25.stac-item
2014-10-28 20:10:59	wofs_ls_197057_2014-10-28.stac-item
2015-02-09 19:15:40	wofs_ls_189043_2015-02-09.stac-item
2015-06-12 17:21:37	wofs_ls_170053_2015-06-12.stac-item
2015-10-11 20:33:09	wofs_ls_201051_2015-10-11.stac-item
2016-01-13 20:46:23	wofs_ls_203053_2016-01-13.stac-item
2016-08-26 18:54:00	wofs_ls_185050_2016-08-26.stac-item
2017-02-04 17:13:24	wofs_ls_167077_2017-02-04.stac-item
2017-03-03 16:47:54	wofs_ls_164060_2017-03-03.stac-item
2017-12-07 15:21:05	wofs_ls_149074_2017-12-07.stac-item
2018-06-02 17:33:54	wofs_ls_172054_2018-06-02.stac-item
2019-02-19 18:29:28	wofs_ls_182036_2019-02-19.stac-item
2019-05-06 17:25:01	wofs_ls_170061_2019-05-06.stac-item
2020-06-04 18:43:01	wofs_ls_183055_2020-06-04.stac-item
2021-03-28 20:11:12	wofs_ls_198043_2021-03-28.stac-item
2021-12-20 17:32:24	wofs_ls_171062_2021-12-20.stac-item
2021-12-22 17:14:28	wofs_ls_169048_2021-12-22.stac-item
2021-12-22 18:50:34	wofs_ls_185041_2021-12-22.stac-item
2022-03-19 18:12:29	wofs_ls_178055_2022-03-19.stac-item
2022-04-09 17:51:58	wofs_ls_173081_2022-04-09.stac-item
2022-04-27 17:37:51	wofs_ls_171077_2022-04-27.stac-item
2022-10-12 16:41:54	wofs_ls_163059_2022-10-12.stac-item
2022-11-14 17:31:12	wofs_ls_170074_2022-11-14.stac-item
2022-11-19 17:52:08	wofs_ls_173080_2022-11-19.stac-item
2024-04-07 20:02:14	wofs_ls_196052_2024-04-07.stac-item
2024-04-11 20:29:18	wofs_ls_200057_2024-04-11.stac-item
2024-04-25 21:27:24	wofs_ls_210049_2024-04-25.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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