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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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27 results

Time (local)	Label
2013-12-24 15:47:07	wofs_ls_153074_2013-12-24.stac-item
2014-05-20 20:59:58	wofs_ls_206042_2014-05-20.stac-item
2014-07-08 20:10:39	wofs_ls_197057_2014-07-08.stac-item
2014-12-25 19:09:30	wofs_ls_187058_2014-12-25.stac-item
2015-05-16 20:56:05	wofs_ls_205049_2015-05-16.stac-item
2015-05-24 18:32:35	wofs_ls_181061_2015-05-24.stac-item
2015-10-10 19:52:17	wofs_ls_194057_2015-10-10.stac-item
2016-03-22 16:15:08	wofs_ls_158071_2016-03-22.stac-item
2016-07-13 18:34:16	wofs_ls_181063_2016-07-13.stac-item
2017-11-26 17:13:21	wofs_ls_168061_2017-11-26.stac-item
2017-11-27 16:23:18	wofs_ls_159075_2017-11-27.stac-item
2018-01-29 20:26:28	wofs_ls_200050_2018-01-29.stac-item
2018-03-18 17:11:08	wofs_ls_168057_2018-03-18.stac-item
2018-05-21 20:20:19	wofs_ls_200037_2018-05-21.stac-item
2018-06-09 16:05:36	wofs_ls_157065_2018-06-09.stac-item
2019-01-02 18:43:58	wofs_ls_182072_2019-01-02.stac-item
2019-04-23 18:00:14	wofs_ls_175072_2019-04-23.stac-item
2019-09-12 19:39:34	wofs_ls_193040_2019-09-12.stac-item
2020-12-03 16:27:53	wofs_ls_161055_2020-12-03.stac-item
2021-04-20 18:45:08	wofs_ls_183060_2021-04-20.stac-item
2021-05-18 17:30:56	wofs_ls_171060_2021-05-18.stac-item
2022-01-02 17:48:55	wofs_ls_174057_2022-01-02.stac-item
2022-03-22 17:10:02	wofs_ls_167069_2022-03-22.stac-item
2022-04-21 18:07:45	wofs_ls_177059_2022-04-21.stac-item
2022-08-20 18:10:49	wofs_ls_176081_2022-08-20.stac-item
2022-12-07 19:49:26	wofs_ls_195033_2022-12-07.stac-item
2024-04-15 16:52:20	wofs_ls_164071_2024-04-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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