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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

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Dataset URI:

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30 results

Time (local)	Label
2013-04-14 17:12:24	wofs_ls_167070_2013-04-14.stac-item
2013-08-13 18:37:19	wofs_ls_182050_2013-08-13.stac-item
2013-11-03 16:49:24	wofs_ls_164059_2013-11-03.stac-item
2015-01-30 18:35:53	wofs_ls_183036_2015-01-30.stac-item
2015-07-25 20:16:48	wofs_ls_199042_2015-07-25.stac-item
2015-10-13 20:23:11	wofs_ls_199057_2015-10-13.stac-item
2016-02-11 20:14:11	wofs_ls_198050_2016-02-11.stac-item
2016-05-26 16:55:52	wofs_ls_165065_2016-05-26.stac-item
2016-06-04 20:01:55	wofs_ls_196051_2016-06-04.stac-item
2016-06-10 17:57:32	wofs_ls_174080_2016-06-10.stac-item
2016-06-20 16:44:13	wofs_ls_164051_2016-06-20.stac-item
2017-03-18 16:06:05	wofs_ls_157064_2017-03-18.stac-item
2017-06-18 19:45:25	wofs_ls_193056_2017-06-18.stac-item
2018-03-29 20:05:54	wofs_ls_197046_2018-03-29.stac-item
2018-04-17 18:57:20	wofs_ls_186045_2018-04-17.stac-item
2018-11-30 16:22:39	wofs_ls_159074_2018-11-30.stac-item
2020-06-21 16:13:04	wofs_ls_158066_2020-06-21.stac-item
2020-10-16 19:37:16	wofs_ls_193034_2020-10-16.stac-item
2021-04-17 18:15:51	wofs_ls_178064_2021-04-17.stac-item
2021-09-15 18:21:27	wofs_ls_179061_2021-09-15.stac-item
2021-11-04 18:05:38	wofs_ls_177052_2021-11-04.stac-item
2021-12-05 20:33:19	wofs_ls_202035_2021-12-05.stac-item
2022-08-14 18:34:43	wofs_ls_182048_2022-08-14.stac-item
2022-09-10 21:33:59	wofs_ls_211048_2022-09-10.stac-item
2022-09-15 16:14:00	wofs_ls_158066_2022-09-15.stac-item
2022-10-25 21:02:30	wofs_ls_206046_2022-10-25.stac-item
2022-12-19 17:06:38	wofs_ls_167059_2022-12-19.stac-item
2023-06-23 16:57:57	wofs_ls_165071_2023-06-23.stac-item
2023-08-08 17:11:33	wofs_ls_167073_2023-08-08.stac-item
2024-01-23 18:05:50	wofs_ls_175084_2024-01-23.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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