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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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

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Dataset URI:

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31 results

Time (local)	Label
2013-09-08 17:36:20	wofs_ls_172052_2013-09-08.stac-item
2014-05-01 18:54:23	wofs_ls_185052_2014-05-01.stac-item
2015-04-28 16:21:13	wofs_ls_159072_2015-04-28.stac-item
2015-09-10 16:20:02	wofs_ls_160052_2015-09-10.stac-item
2016-01-08 17:08:03	wofs_ls_168048_2016-01-08.stac-item
2016-03-09 19:57:55	wofs_ls_195056_2016-03-09.stac-item
2016-11-02 16:54:11	wofs_ls_165059_2016-11-02.stac-item
2017-03-13 19:04:10	wofs_ls_186061_2017-03-13.stac-item
2017-06-11 17:52:44	wofs_ls_176037_2017-06-11.stac-item
2017-08-06 20:21:23	wofs_ls_200037_2017-08-06.stac-item
2017-10-01 18:02:03	wofs_ls_176059_2017-10-01.stac-item
2017-10-25 18:49:35	wofs_ls_184054_2017-10-25.stac-item
2017-12-15 16:09:45	wofs_ls_157072_2017-12-15.stac-item
2018-01-31 17:05:06	wofs_ls_166072_2018-01-31.stac-item
2019-02-02 17:55:25	wofs_ls_175059_2019-02-02.stac-item
2019-03-03 20:34:13	wofs_ls_202039_2019-03-03.stac-item
2019-09-11 17:34:34	wofs_ls_170083_2019-09-11.stac-item
2020-04-17 20:20:22	wofs_ls_199051_2020-04-17.stac-item
2020-09-13 17:30:34	wofs_ls_170073_2020-09-13.stac-item
2020-09-14 16:26:34	wofs_ls_161052_2020-09-14.stac-item
2020-11-29 18:24:18	wofs_ls_181037_2020-11-29.stac-item
2020-12-22 18:32:03	wofs_ls_182041_2020-12-22.stac-item
2021-08-09 19:37:14	wofs_ls_192050_2021-08-09.stac-item
2021-08-19 20:17:09	wofs_ls_198057_2021-08-19.stac-item
2021-11-19 19:05:33	wofs_ls_186063_2021-11-19.stac-item
2021-12-29 17:24:38	wofs_ls_170058_2021-12-29.stac-item
2022-03-22 16:20:20	wofs_ls_159068_2022-03-22.stac-item
2022-11-16 17:20:26	wofs_ls_168078_2022-11-16.stac-item
2022-12-21 19:15:24	wofs_ls_189041_2022-12-21.stac-item
2023-05-24 17:39:48	wofs_ls_171083_2023-05-24.stac-item
2024-02-06 18:13:54	wofs_ls_177073_2024-02-06.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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