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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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26 results

Time (local)	Label
2013-11-30 18:14:48	wofs_ls_177072_2013-11-30.stac-item
2014-01-26 18:00:33	wofs_ls_176053_2014-01-26.stac-item
2014-04-10 20:17:04	wofs_ls_198057_2014-04-10.stac-item
2014-08-10 19:15:38	wofs_ls_188058_2014-08-10.stac-item
2015-02-27 20:40:06	wofs_ls_203038_2015-02-27.stac-item
2015-10-02 17:23:58	wofs_ls_170057_2015-10-02.stac-item
2015-10-13 18:44:42	wofs_ls_183058_2015-10-13.stac-item
2016-05-13 17:24:16	wofs_ls_170059_2016-05-13.stac-item
2016-09-11 20:27:23	wofs_ls_201036_2016-09-11.stac-item
2017-10-03 17:48:31	wofs_ls_174056_2017-10-03.stac-item
2018-05-27 16:32:34	wofs_ls_162055_2018-05-27.stac-item
2019-02-12 18:24:30	wofs_ls_181039_2019-02-12.stac-item
2019-03-05 18:50:31	wofs_ls_184058_2019-03-05.stac-item
2019-09-21 18:00:32	wofs_ls_176055_2019-09-21.stac-item
2020-02-04 17:12:03	wofs_ls_168058_2020-02-04.stac-item
2020-05-09 18:04:36	wofs_ls_177052_2020-05-09.stac-item
2020-12-28 16:20:03	wofs_ls_160051_2020-12-28.stac-item
2021-08-29 20:48:42	wofs_ls_204043_2021-08-29.stac-item
2021-12-08 17:07:46	wofs_ls_167062_2021-12-08.stac-item
2022-01-09 21:06:29	wofs_ls_207041_2022-01-09.stac-item
2022-02-16 18:16:10	wofs_ls_177079_2022-02-16.stac-item
2022-07-16 16:41:42	wofs_ls_163059_2022-07-16.stac-item
2022-07-22 20:10:45	wofs_ls_197057_2022-07-22.stac-item
2022-11-07 18:17:01	wofs_ls_177080_2022-11-07.stac-item
2023-01-15 18:28:27	wofs_ls_180063_2023-01-15.stac-item
2024-02-21 17:20:04	wofs_ls_170047_2024-02-21.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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