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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

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Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

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The ground sample distance from:

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Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Label:

Latitude range from:

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Longitude range from:

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Full metadata document:

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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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34 results

Time (local)	Label
2013-07-06 19:13:35	wofs_ls_188048_2013-07-06.stac-item
2013-08-29 17:00:04	wofs_ls_166054_2013-08-29.stac-item
2013-12-12 20:03:37	wofs_ls_197035_2013-12-12.stac-item
2014-07-22 20:19:04	wofs_ls_199047_2014-07-22.stac-item
2015-05-03 16:32:30	wofs_ls_162054_2015-05-03.stac-item
2016-07-17 18:06:46	wofs_ls_177056_2016-07-17.stac-item
2017-02-03 16:28:33	wofs_ls_160073_2017-02-03.stac-item
2017-10-26 19:30:27	wofs_ls_191048_2017-10-26.stac-item
2018-01-20 20:34:44	wofs_ls_201055_2018-01-20.stac-item
2018-08-07 18:57:24	wofs_ls_186045_2018-08-07.stac-item
2018-10-18 21:27:25	wofs_ls_210048_2018-10-18.stac-item
2019-05-07 17:59:55	wofs_ls_177040_2019-05-07.stac-item
2019-08-07 16:56:19	wofs_ls_165065_2019-08-07.stac-item
2019-11-03 20:58:39	wofs_ls_205052_2019-11-03.stac-item
2020-03-25 16:56:12	wofs_ls_166050_2020-03-25.stac-item
2021-01-05 20:22:02	wofs_ls_200038_2021-01-05.stac-item
2021-06-16 18:41:56	wofs_ls_182067_2021-06-16.stac-item
2021-11-15 21:00:40	wofs_ls_206047_2021-11-15.stac-item
2021-12-09 17:56:12	wofs_ls_174075_2021-12-09.stac-item
2022-03-03 17:29:33	wofs_ls_170071_2022-03-03.stac-item
2022-05-27 17:44:47	wofs_ls_173064_2022-05-27.stac-item
2022-05-31 17:19:41	wofs_ls_169063_2022-05-31.stac-item
2022-08-05 17:54:31	wofs_ls_175055_2022-08-05.stac-item
2022-10-23 17:13:23	wofs_ls_168060_2022-10-23.stac-item
2022-11-05 19:07:50	wofs_ls_187053_2022-11-05.stac-item
2022-11-09 17:14:38	wofs_ls_167079_2022-11-09.stac-item
2022-11-14 17:22:25	wofs_ls_170052_2022-11-14.stac-item
2023-01-09 20:40:54	wofs_ls_202054_2023-01-09.stac-item
2023-06-11 17:25:10	wofs_ls_169077_2023-06-11.stac-item
2023-07-17 17:52:52	wofs_ls_173084_2023-07-17.stac-item
2023-09-09 17:11:25	wofs_ls_167072_2023-09-09.stac-item
2024-01-20 18:15:28	wofs_ls_178062_2024-01-20.stac-item
2024-01-21 17:14:39	wofs_ls_169049_2024-01-21.stac-item
2024-03-10 17:15:45	wofs_ls_168067_2024-03-10.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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