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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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32 results

Time (local)	Label
2013-09-17 19:09:22	wofs_ls_187053_2013-09-17.stac-item
2013-10-18 15:17:00	wofs_ls_148075_2013-10-18.stac-item
2015-02-15 18:44:29	wofs_ls_183058_2015-02-15.stac-item
2015-04-13 16:57:48	wofs_ls_166055_2015-04-13.stac-item
2016-10-09 16:07:05	wofs_ls_157065_2016-10-09.stac-item
2017-03-16 17:50:34	wofs_ls_175047_2017-03-16.stac-item
2017-03-24 17:04:38	wofs_ls_167056_2017-03-24.stac-item
2017-05-13 16:54:27	wofs_ls_165062_2017-05-13.stac-item
2017-07-15 16:14:47	wofs_ls_158070_2017-07-15.stac-item
2017-07-31 16:14:55	wofs_ls_158070_2017-07-31.stac-item
2018-08-21 17:38:11	wofs_ls_172063_2018-08-21.stac-item
2019-04-01 18:23:54	wofs_ls_181038_2019-04-01.stac-item
2019-04-04 17:22:16	wofs_ls_170054_2019-04-04.stac-item
2019-08-27 18:11:23	wofs_ls_177067_2019-08-27.stac-item
2019-10-17 20:15:47	wofs_ls_198053_2019-10-17.stac-item
2019-11-11 20:09:35	wofs_ls_197053_2019-11-11.stac-item
2020-03-14 17:28:00	wofs_ls_169083_2020-03-14.stac-item
2020-04-25 18:02:44	wofs_ls_175078_2020-04-25.stac-item
2020-08-25 20:10:55	wofs_ls_197057_2020-08-25.stac-item
2020-09-10 18:29:45	wofs_ls_181051_2020-09-10.stac-item
2021-03-13 17:50:20	wofs_ls_173077_2021-03-13.stac-item
2022-02-01 18:52:20	wofs_ls_184061_2022-02-01.stac-item
2022-02-23 19:04:51	wofs_ls_186062_2022-02-23.stac-item
2022-04-18 20:51:05	wofs_ls_204050_2022-04-18.stac-item
2022-06-04 16:50:59	wofs_ls_165053_2022-06-04.stac-item
2022-07-02 18:16:37	wofs_ls_177080_2022-07-02.stac-item
2022-08-25 18:28:34	wofs_ls_179079_2022-08-25.stac-item
2022-10-05 19:51:01	wofs_ls_194053_2022-10-05.stac-item
2022-11-26 19:21:13	wofs_ls_190040_2022-11-26.stac-item
2023-02-06 17:57:24	wofs_ls_174078_2023-02-06.stac-item
2024-03-21 16:54:47	wofs_ls_165061_2024-03-21.stac-item
2024-05-22 17:13:14	wofs_ls_167078_2024-05-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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