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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
2013-04-16 17:00:50	wofs_ls_165072_2013-04-16.stac-item
2013-09-19 20:35:29	wofs_ls_201052_2013-09-19.stac-item
2014-03-08 17:57:24	wofs_ls_175062_2014-03-08.stac-item
2014-07-18 17:32:47	wofs_ls_171064_2014-07-18.stac-item
2014-11-07 19:01:16	wofs_ls_187037_2014-11-07.stac-item
2015-03-01 17:19:32	wofs_ls_169062_2015-03-01.stac-item
2017-06-13 17:47:34	wofs_ls_174055_2017-06-13.stac-item
2017-08-30 19:37:37	wofs_ls_192051_2017-08-30.stac-item
2018-07-06 19:04:19	wofs_ls_186063_2018-07-06.stac-item
2018-11-30 16:24:15	wofs_ls_159078_2018-11-30.stac-item
2019-10-12 18:18:21	wofs_ls_179053_2019-10-12.stac-item
2019-12-06 16:52:46	wofs_ls_164071_2019-12-06.stac-item
2020-04-21 19:49:14	wofs_ls_195035_2020-04-21.stac-item
2020-11-11 17:15:15	wofs_ls_167081_2020-11-11.stac-item
2021-01-09 19:56:05	wofs_ls_196035_2021-01-09.stac-item
2021-01-18 19:49:26	wofs_ls_195034_2021-01-18.stac-item
2021-06-24 17:59:19	wofs_ls_174084_2021-06-24.stac-item
2021-07-13 18:20:16	wofs_ls_179059_2021-07-13.stac-item
2021-11-11 16:46:33	wofs_ls_164058_2021-11-11.stac-item
2022-01-09 16:24:11	wofs_ls_159077_2022-01-09.stac-item
2022-03-04 20:32:45	wofs_ls_201050_2022-03-04.stac-item
2022-03-14 19:25:18	wofs_ls_191036_2022-03-14.stac-item
2022-05-07 17:20:25	wofs_ls_169064_2022-05-07.stac-item
2022-07-29 17:44:41	wofs_ls_174046_2022-07-29.stac-item
2022-08-25 16:40:31	wofs_ls_163056_2022-08-25.stac-item
2022-12-09 18:57:06	wofs_ls_185057_2022-12-09.stac-item
2023-02-09 15:54:56	wofs_ls_155065_2023-02-09.stac-item
2023-03-25 19:31:47	wofs_ls_191052_2023-03-25.stac-item
2024-01-07 17:11:28	wofs_ls_167072_2024-01-07.stac-item
2024-02-11 18:26:26	wofs_ls_180058_2024-02-11.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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