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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:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

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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:

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Acquisition time range From

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29 results

Time (local)	Label
2013-05-29 19:44:46	wofs_ls_194033_2013-05-29.stac-item
2014-09-17 18:44:37	wofs_ls_182073_2014-09-17.stac-item
2014-10-02 17:53:25	wofs_ls_175053_2014-10-02.stac-item
2015-07-01 17:52:38	wofs_ls_175053_2015-07-01.stac-item
2016-01-26 17:05:17	wofs_ls_166072_2016-01-26.stac-item
2016-04-13 20:28:57	wofs_ls_200057_2016-04-13.stac-item
2017-02-19 18:06:32	wofs_ls_176071_2017-02-19.stac-item
2017-02-19 19:33:27	wofs_ls_192041_2017-02-19.stac-item
2017-08-08 20:15:48	wofs_ls_198054_2017-08-08.stac-item
2017-09-17 19:26:53	wofs_ls_190055_2017-09-17.stac-item
2018-09-25 18:06:06	wofs_ls_177055_2018-09-25.stac-item
2019-04-27 17:31:31	wofs_ls_171062_2019-04-27.stac-item
2019-08-03 17:23:25	wofs_ls_169071_2019-08-03.stac-item
2020-06-04 18:47:01	wofs_ls_183065_2020-06-04.stac-item
2021-02-17 15:21:00	wofs_ls_149074_2021-02-17.stac-item
2021-10-30 16:17:23	wofs_ls_158075_2021-10-30.stac-item
2022-01-19 16:58:02	wofs_ls_165069_2022-01-19.stac-item
2022-04-18 20:03:16	wofs_ls_196054_2022-04-18.stac-item
2022-05-05 17:24:47	wofs_ls_171044_2022-05-05.stac-item
2022-07-12 17:04:50	wofs_ls_167055_2022-07-12.stac-item
2022-10-30 18:14:25	wofs_ls_177074_2022-10-30.stac-item
2022-11-12 17:43:33	wofs_ls_172074_2022-11-12.stac-item
2023-02-10 17:32:15	wofs_ls_170077_2023-02-10.stac-item
2023-04-12 18:33:29	wofs_ls_181062_2023-04-12.stac-item
2023-04-16 17:25:11	wofs_ls_169076_2023-04-16.stac-item
2023-07-08 17:49:25	wofs_ls_174060_2023-07-08.stac-item
2024-01-29 18:14:25	wofs_ls_177075_2024-01-29.stac-item
2024-02-27 17:40:18	wofs_ls_172067_2024-02-27.stac-item
2024-02-29 18:16:44	wofs_ls_178065_2024-02-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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