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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
2014-01-09 17:27:01	wofs_ls_169077_2014-01-09.stac-item
2014-09-17 20:16:19	wofs_ls_198055_2014-09-17.stac-item
2015-05-16 19:17:12	wofs_ls_189049_2015-05-16.stac-item
2015-12-01 17:48:25	wofs_ls_174056_2015-12-01.stac-item
2015-12-06 18:11:43	wofs_ls_177068_2015-12-06.stac-item
2016-06-25 17:07:11	wofs_ls_167062_2016-06-25.stac-item
2017-05-18 17:12:39	wofs_ls_168061_2017-05-18.stac-item
2017-07-07 18:44:17	wofs_ls_182073_2017-07-07.stac-item
2017-09-16 18:44:24	wofs_ls_183057_2017-09-16.stac-item
2018-10-25 18:25:26	wofs_ls_179072_2018-10-25.stac-item
2018-11-23 17:50:59	wofs_ls_174063_2018-11-23.stac-item
2018-11-25 17:38:37	wofs_ls_172063_2018-11-25.stac-item
2019-11-13 18:12:21	wofs_ls_179038_2019-11-13.stac-item
2020-01-02 18:16:59	wofs_ls_177081_2020-01-02.stac-item
2020-09-24 18:44:35	wofs_ls_183057_2020-09-24.stac-item
2021-08-15 17:29:40	wofs_ls_170071_2021-08-15.stac-item
2022-01-08 19:31:24	wofs_ls_192035_2022-01-08.stac-item
2022-07-14 16:52:28	wofs_ls_165055_2022-07-14.stac-item
2022-09-29 18:52:25	wofs_ls_184061_2022-09-29.stac-item
2022-11-14 17:27:12	wofs_ls_170064_2022-11-14.stac-item
2022-11-16 17:12:51	wofs_ls_168059_2022-11-16.stac-item
2022-11-24 17:53:55	wofs_ls_176038_2022-11-24.stac-item
2023-04-27 17:48:10	wofs_ls_174057_2023-04-27.stac-item
2023-05-07 18:23:56	wofs_ls_180054_2023-05-07.stac-item
2023-09-15 17:19:25	wofs_ls_169061_2023-09-15.stac-item
2024-04-27 18:52:53	wofs_ls_184064_2024-04-27.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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