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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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30 results

Time (local)	Label
2013-12-10 18:38:43	wofs_ls_183039_2013-12-10.stac-item
2014-01-23 15:54:46	wofs_ls_155063_2014-01-23.stac-item
2015-02-10 19:56:31	wofs_ls_196037_2015-02-10.stac-item
2015-02-15 17:06:00	wofs_ls_167059_2015-02-15.stac-item
2015-02-28 16:40:16	wofs_ls_162072_2015-02-28.stac-item
2015-05-09 17:39:46	wofs_ls_172068_2015-05-09.stac-item
2015-10-03 18:07:37	wofs_ls_177058_2015-10-03.stac-item
2016-06-12 17:34:24	wofs_ls_172053_2016-06-12.stac-item
2016-10-20 19:01:35	wofs_ls_186053_2016-10-20.stac-item
2017-12-22 16:17:57	wofs_ls_158077_2017-12-22.stac-item
2018-08-18 20:18:15	wofs_ls_199046_2018-08-18.stac-item
2018-11-17 16:51:59	wofs_ls_164070_2018-11-17.stac-item
2019-08-16 16:52:35	wofs_ls_164071_2019-08-16.stac-item
2019-09-13 17:11:51	wofs_ls_168057_2019-09-13.stac-item
2019-10-18 17:43:17	wofs_ls_173058_2019-10-18.stac-item
2020-06-06 16:53:00	wofs_ls_165058_2020-06-06.stac-item
2020-06-18 18:55:08	wofs_ls_185054_2020-06-18.stac-item
2020-08-07 17:02:11	wofs_ls_167049_2020-08-07.stac-item
2020-12-20 20:28:53	wofs_ls_200055_2020-12-20.stac-item
2021-02-07 16:21:39	wofs_ls_159071_2021-02-07.stac-item
2021-10-10 18:14:11	wofs_ls_178058_2021-10-10.stac-item
2022-01-01 17:02:52	wofs_ls_167050_2022-01-01.stac-item
2022-01-28 18:27:05	wofs_ls_180060_2022-01-28.stac-item
2022-05-09 19:32:36	wofs_ls_191055_2022-05-09.stac-item
2022-06-05 20:46:50	wofs_ls_204040_2022-06-05.stac-item
2022-06-27 17:06:17	wofs_ls_166075_2022-06-27.stac-item
2022-09-23 17:01:28	wofs_ls_166061_2022-09-23.stac-item
2022-10-20 16:40:04	wofs_ls_163054_2022-10-20.stac-item
2023-03-23 18:58:29	wofs_ls_185062_2023-03-23.stac-item
2024-05-18 19:51:59	wofs_ls_195043_2024-05-18.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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