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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
2013-10-22 18:06:01	wofs_ls_176065_2013-10-22.stac-item
2013-12-05 19:57:53	wofs_ls_196036_2013-12-05.stac-item
2014-09-29 19:00:34	wofs_ls_186051_2014-09-29.stac-item
2014-11-02 20:23:58	wofs_ls_200043_2014-11-02.stac-item
2014-11-11 17:06:50	wofs_ls_167060_2014-11-11.stac-item
2015-06-10 17:37:08	wofs_ls_172061_2015-06-10.stac-item
2015-10-10 18:13:00	wofs_ls_178056_2015-10-10.stac-item
2015-12-16 17:05:08	wofs_ls_167056_2015-12-16.stac-item
2016-02-01 16:36:33	wofs_ls_160093_2016-02-01.stac-item
2016-07-31 16:38:42	wofs_ls_163052_2016-07-31.stac-item
2016-09-19 21:22:25	wofs_ls_209050_2016-09-19.stac-item
2016-11-24 16:23:29	wofs_ls_159075_2016-11-24.stac-item
2017-01-17 18:52:01	wofs_ls_185045_2017-01-17.stac-item
2017-03-11 17:31:17	wofs_ls_172045_2017-03-11.stac-item
2017-05-14 17:41:18	wofs_ls_172071_2017-05-14.stac-item
2017-06-05 17:00:27	wofs_ls_166061_2017-06-05.stac-item
2018-09-18 19:37:09	wofs_ls_192051_2018-09-18.stac-item
2019-10-06 17:22:55	wofs_ls_169069_2019-10-06.stac-item
2020-06-21 16:17:04	wofs_ls_158076_2020-06-21.stac-item
2020-07-04 17:27:56	wofs_ls_169083_2020-07-04.stac-item
2020-10-26 17:06:56	wofs_ls_167060_2020-10-26.stac-item
2020-10-26 17:11:19	wofs_ls_167071_2020-10-26.stac-item
2020-11-20 17:04:19	wofs_ls_166069_2020-11-20.stac-item
2020-12-11 17:22:54	wofs_ls_169069_2020-12-11.stac-item
2021-10-29 18:49:06	wofs_ls_183068_2021-10-29.stac-item
2021-11-20 19:38:04	wofs_ls_193036_2021-11-20.stac-item
2021-11-28 18:50:14	wofs_ls_185040_2021-11-28.stac-item
2022-02-12 16:58:51	wofs_ls_165071_2022-02-12.stac-item
2022-02-12 16:58:51	wofs_ls_165071_2022-02-12.stac-item
2022-04-19 17:36:20	wofs_ls_171073_2022-04-19.stac-item
2022-05-22 18:11:44	wofs_ls_178053_2022-05-22.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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