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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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27 results

Time (local)	Label
2013-07-29 19:20:58	wofs_ls_189051_2013-07-29.stac-item
2013-09-28 20:29:14	wofs_ls_200052_2013-09-28.stac-item
2013-11-29 17:36:20	wofs_ls_170084_2013-11-29.stac-item
2014-10-19 17:03:51	wofs_ls_166068_2014-10-19.stac-item
2014-11-06 20:04:03	wofs_ls_196055_2014-11-06.stac-item
2015-09-16 17:33:51	wofs_ls_170082_2015-09-16.stac-item
2016-03-19 17:22:44	wofs_ls_169070_2016-03-19.stac-item
2017-04-30 17:30:49	wofs_ls_170076_2017-04-30.stac-item
2017-05-25 17:27:17	wofs_ls_169082_2017-05-25.stac-item
2018-07-01 18:47:20	wofs_ls_183067_2018-07-01.stac-item
2019-07-21 17:48:14	wofs_ls_174056_2019-07-21.stac-item
2019-10-05 18:15:21	wofs_ls_178061_2019-10-05.stac-item
2020-01-20 17:59:23	wofs_ls_175068_2020-01-20.stac-item
2020-04-27 17:44:23	wofs_ls_173063_2020-04-27.stac-item
2020-06-15 20:04:41	wofs_ls_196058_2020-06-15.stac-item
2020-11-24 16:40:49	wofs_ls_162072_2020-11-24.stac-item
2021-04-14 17:52:57	wofs_ls_173084_2021-04-14.stac-item
2021-08-12 18:33:39	wofs_ls_181061_2021-08-12.stac-item
2021-09-13 16:54:31	wofs_ls_165060_2021-09-13.stac-item
2021-11-15 17:50:30	wofs_ls_174065_2021-11-15.stac-item
2022-02-18 17:12:14	wofs_ls_167074_2022-02-18.stac-item
2022-04-03 20:40:04	wofs_ls_203038_2022-04-03.stac-item
2022-04-12 17:23:22	wofs_ls_170056_2022-04-12.stac-item
2022-07-20 18:45:23	wofs_ls_183060_2022-07-20.stac-item
2022-08-03 17:17:27	wofs_ls_169056_2022-08-03.stac-item
2023-03-07 17:22:09	wofs_ls_169068_2023-03-07.stac-item
2023-06-08 19:14:36	wofs_ls_188057_2023-06-08.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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