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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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31 results

Time (local)	Label
2014-02-28 17:13:14	wofs_ls_167075_2014-02-28.stac-item
2014-06-11 17:18:27	wofs_ls_168075_2014-06-11.stac-item
2014-10-09 16:26:43	wofs_ls_160068_2014-10-09.stac-item
2014-10-24 17:17:59	wofs_ls_169057_2014-10-24.stac-item
2014-12-07 16:06:32	wofs_ls_157064_2014-12-07.stac-item
2015-04-29 18:38:58	wofs_ls_182061_2015-04-29.stac-item
2015-05-14 16:19:45	wofs_ls_159069_2015-05-14.stac-item
2015-10-20 17:12:50	wofs_ls_168060_2015-10-20.stac-item
2017-02-13 17:06:21	wofs_ls_166075_2017-02-13.stac-item
2017-03-31 17:17:33	wofs_ls_168073_2017-03-31.stac-item
2017-06-20 16:22:04	wofs_ls_159073_2017-06-20.stac-item
2017-06-29 16:14:20	wofs_ls_158069_2017-06-29.stac-item
2017-10-07 20:39:11	wofs_ls_202050_2017-10-07.stac-item
2019-09-15 17:05:29	wofs_ls_166072_2019-09-15.stac-item
2020-04-03 18:31:12	wofs_ls_181056_2020-04-03.stac-item
2020-07-06 17:05:37	wofs_ls_167058_2020-07-06.stac-item
2021-11-23 18:38:51	wofs_ls_182058_2021-11-23.stac-item
2021-12-13 16:39:38	wofs_ls_162069_2021-12-13.stac-item
2021-12-22 20:29:03	wofs_ls_201040_2021-12-22.stac-item
2022-04-22 17:19:43	wofs_ls_168078_2022-04-22.stac-item
2022-06-02 16:20:21	wofs_ls_159068_2022-06-02.stac-item
2022-06-03 20:59:11	wofs_ls_206040_2022-06-03.stac-item
2022-06-24 16:27:00	wofs_ls_161054_2022-06-24.stac-item
2022-06-24 18:54:53	wofs_ls_185052_2022-06-24.stac-item
2022-07-29 21:01:39	wofs_ls_206044_2022-07-29.stac-item
2022-11-06 17:26:58	wofs_ls_170063_2022-11-06.stac-item
2022-11-17 17:47:45	wofs_ls_175038_2022-11-17.stac-item
2023-01-01 18:05:50	wofs_ls_178037_2023-01-01.stac-item
2023-02-27 16:32:22	wofs_ls_161067_2023-02-27.stac-item
2023-06-01 20:39:24	wofs_ls_203037_2023-06-01.stac-item
2023-09-15 17:14:14	wofs_ls_169048_2023-09-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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