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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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

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Dataset URI:

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27 results

Time (local)	Label
2013-07-20 18:01:24	wofs_ls_174084_2013-07-20.stac-item
2014-03-05 17:20:32	wofs_ls_170047_2014-03-05.stac-item
2014-07-20 18:54:32	wofs_ls_185052_2014-07-20.stac-item
2015-02-13 17:13:35	wofs_ls_169047_2015-02-13.stac-item
2015-06-17 17:42:11	wofs_ls_173058_2015-06-17.stac-item
2016-12-18 20:14:39	wofs_ls_199035_2016-12-18.stac-item
2018-02-16 20:16:23	wofs_ls_198056_2018-02-16.stac-item
2019-04-06 18:52:23	wofs_ls_184063_2019-04-06.stac-item
2019-04-28 18:12:47	wofs_ls_178057_2019-04-28.stac-item
2019-06-27 20:07:43	wofs_ls_198034_2019-06-27.stac-item
2019-10-26 16:57:49	wofs_ls_165068_2019-10-26.stac-item
2020-06-07 19:10:46	wofs_ls_188047_2020-06-07.stac-item
2020-07-17 16:45:57	wofs_ls_164055_2020-07-17.stac-item
2021-06-02 19:57:13	wofs_ls_196039_2021-06-02.stac-item
2022-01-03 17:48:21	wofs_ls_173071_2022-01-03.stac-item
2022-05-18 18:34:28	wofs_ls_182048_2022-05-18.stac-item
2022-06-11 16:57:35	wofs_ls_166054_2022-06-11.stac-item
2022-08-04 17:20:01	wofs_ls_168077_2022-08-04.stac-item
2022-10-18 17:44:08	wofs_ls_173060_2022-10-18.stac-item
2022-10-27 17:40:44	wofs_ls_172067_2022-10-27.stac-item
2022-11-17 19:25:02	wofs_ls_191034_2022-11-17.stac-item
2022-12-06 20:04:40	wofs_ls_196056_2022-12-06.stac-item
2022-12-10 18:52:36	wofs_ls_184061_2022-12-10.stac-item
2023-02-13 20:15:41	wofs_ls_199037_2023-02-13.stac-item
2023-05-23 17:43:46	wofs_ls_172077_2023-05-23.stac-item
2023-07-22 19:37:30	wofs_ls_192052_2023-07-22.stac-item
2024-02-29 20:37:42	wofs_ls_202047_2024-02-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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