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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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40 results

Time (local)	Label
2013-12-14 21:35:42	wofs_ls_211049_2013-12-14.stac-item
2013-12-21 19:57:19	wofs_ls_196035_2013-12-21.stac-item
2015-01-21 17:09:10	wofs_ls_168051_2015-01-21.stac-item
2015-01-25 18:25:42	wofs_ls_180057_2015-01-25.stac-item
2015-03-20 19:18:21	wofs_ls_190035_2015-03-20.stac-item
2015-08-24 20:26:33	wofs_ls_201035_2015-08-24.stac-item
2016-04-15 18:35:42	wofs_ls_182052_2016-04-15.stac-item
2016-08-01 19:00:03	wofs_ls_186050_2016-08-01.stac-item
2016-08-26 18:52:01	wofs_ls_185045_2016-08-26.stac-item
2017-01-13 20:55:14	wofs_ls_205044_2017-01-13.stac-item
2017-03-28 19:52:52	wofs_ls_195044_2017-03-28.stac-item
2017-06-08 19:09:04	wofs_ls_187058_2017-06-08.stac-item
2019-04-04 20:37:15	wofs_ls_202047_2019-04-04.stac-item
2019-06-04 18:33:40	wofs_ls_181062_2019-06-04.stac-item
2019-07-27 17:13:36	wofs_ls_168062_2019-07-27.stac-item
2019-08-26 20:40:18	wofs_ls_202053_2019-08-26.stac-item
2019-11-30 17:20:17	wofs_ls_170047_2019-11-30.stac-item
2020-02-20 17:17:59	wofs_ls_168073_2020-02-20.stac-item
2021-06-23 17:12:03	wofs_ls_167074_2021-06-23.stac-item
2021-12-17 16:16:30	wofs_ls_158073_2021-12-17.stac-item
2022-01-29 18:11:52	wofs_ls_179037_2022-01-29.stac-item
2022-02-17 19:39:10	wofs_ls_192055_2022-02-17.stac-item
2022-03-23 17:00:47	wofs_ls_166061_2022-03-23.stac-item
2022-04-05 19:45:14	wofs_ls_193055_2022-04-05.stac-item
2022-04-27 16:39:39	wofs_ls_163055_2022-04-27.stac-item
2022-05-09 16:23:12	wofs_ls_159076_2022-05-09.stac-item
2022-05-09 16:23:12	wofs_ls_159076_2022-05-09.stac-item
2022-07-24 17:25:41	wofs_ls_171045_2022-07-24.stac-item
2022-11-25 20:21:14	wofs_ls_199051_2022-11-25.stac-item
2022-12-09 20:30:48	wofs_ls_201044_2022-12-09.stac-item
2023-01-17 15:49:24	wofs_ls_154067_2023-01-17.stac-item
2023-02-07 20:53:59	wofs_ls_205040_2023-02-07.stac-item
2023-02-10 18:15:29	wofs_ls_178061_2023-02-10.stac-item
2023-02-10 18:15:29	wofs_ls_178061_2023-02-10.stac-item
2023-06-14 16:15:13	wofs_ls_158072_2023-06-14.stac-item
2023-06-16 17:38:10	wofs_ls_172063_2023-06-16.stac-item
2023-08-03 16:50:35	wofs_ls_164067_2023-08-03.stac-item
2023-08-11 18:26:00	wofs_ls_180058_2023-08-11.stac-item
2024-02-02 16:58:56	wofs_ls_165071_2024-02-02.stac-item
2024-02-18 17:48:32	wofs_ls_173072_2024-02-18.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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