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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

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Dataset URI:

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26 results

Time (local)	Label
2013-12-31 17:20:58	wofs_ls_170046_2013-12-31.stac-item
2014-02-03 18:47:31	wofs_ls_184047_2014-02-03.stac-item
2015-03-14 18:29:20	wofs_ls_180067_2015-03-14.stac-item
2015-08-04 19:15:25	wofs_ls_189043_2015-08-04.stac-item
2015-12-21 17:24:05	wofs_ls_170057_2015-12-21.stac-item
2016-03-24 20:50:14	wofs_ls_204048_2016-03-24.stac-item
2016-07-06 18:33:13	wofs_ls_180076_2016-07-06.stac-item
2016-10-21 19:38:28	wofs_ls_193037_2016-10-21.stac-item
2017-12-04 19:36:04	wofs_ls_192047_2017-12-04.stac-item
2018-05-02 16:47:25	wofs_ls_163076_2018-05-02.stac-item
2018-10-02 18:21:54	wofs_ls_178079_2018-10-02.stac-item
2018-12-29 20:38:24	wofs_ls_202049_2018-12-29.stac-item
2019-10-29 18:57:15	wofs_ls_186042_2019-10-29.stac-item
2019-12-27 17:11:14	wofs_ls_167071_2019-12-27.stac-item
2020-05-13 17:40:42	wofs_ls_173054_2020-05-13.stac-item
2020-06-03 17:59:45	wofs_ls_176055_2020-06-03.stac-item
2020-06-29 17:03:46	wofs_ls_166069_2020-06-29.stac-item
2022-03-10 19:06:39	wofs_ls_187051_2022-03-10.stac-item
2022-03-21 17:08:23	wofs_ls_168049_2022-03-21.stac-item
2022-04-12 19:03:27	wofs_ls_186059_2022-04-12.stac-item
2022-11-05 17:39:43	wofs_ls_171080_2022-11-05.stac-item
2023-01-15 17:43:28	wofs_ls_172074_2023-01-15.stac-item
2023-06-07 18:34:57	wofs_ls_181066_2023-06-07.stac-item
2023-06-13 17:53:24	wofs_ls_175055_2023-06-13.stac-item
2024-03-01 16:34:40	wofs_ls_161073_2024-03-01.stac-item
2024-05-08 20:54:45	wofs_ls_205045_2024-05-08.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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