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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

Acquisition time range to (exclusive)

Dataset URI:

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32 results

Time (local)	Label
2014-03-01 17:42:07	wofs_ls_174039_2014-03-01.stac-item
2014-10-06 17:31:07	wofs_ls_171059_2014-10-06.stac-item
2014-10-12 18:33:20	wofs_ls_181060_2014-10-12.stac-item
2015-01-06 16:23:11	wofs_ls_159075_2015-01-06.stac-item
2015-07-29 16:40:18	wofs_ls_163057_2015-07-29.stac-item
2016-04-26 16:40:36	wofs_ls_163058_2016-04-26.stac-item
2016-07-14 16:00:09	wofs_ls_156064_2016-07-14.stac-item
2017-08-11 20:43:08	wofs_ls_203045_2017-08-11.stac-item
2018-09-26 18:49:22	wofs_ls_184055_2018-09-26.stac-item
2019-02-18 17:55:22	wofs_ls_175059_2019-02-18.stac-item
2019-12-26 18:03:40	wofs_ls_176063_2019-12-26.stac-item
2020-02-16 20:48:31	wofs_ls_204043_2020-02-16.stac-item
2020-03-21 19:03:50	wofs_ls_186060_2020-03-21.stac-item
2020-06-01 18:13:41	wofs_ls_178059_2020-06-01.stac-item
2021-10-31 16:54:16	wofs_ls_165059_2021-10-31.stac-item
2021-12-21 18:06:06	wofs_ls_178038_2021-12-21.stac-item
2022-04-07 17:55:34	wofs_ls_175059_2022-04-07.stac-item
2022-04-15 16:22:11	wofs_ls_159073_2022-04-15.stac-item
2022-04-17 16:05:50	wofs_ls_157063_2022-04-17.stac-item
2022-05-19 17:48:01	wofs_ls_173071_2022-05-19.stac-item
2022-05-23 18:16:17	wofs_ls_177081_2022-05-23.stac-item
2022-08-15 19:19:34	wofs_ls_189052_2022-08-15.stac-item
2022-09-13 15:39:45	wofs_ls_152074_2022-09-13.stac-item
2022-10-28 19:58:06	wofs_ls_195055_2022-10-28.stac-item
2022-11-03 18:34:34	wofs_ls_181062_2022-11-03.stac-item
2023-02-28 17:17:13	wofs_ls_168071_2023-02-28.stac-item
2023-03-20 16:52:20	wofs_ls_164071_2023-03-20.stac-item
2023-04-21 19:06:40	wofs_ls_188036_2023-04-21.stac-item
2023-06-21 20:20:30	wofs_ls_199052_2023-06-21.stac-item
2024-01-31 17:05:42	wofs_ls_167057_2024-01-31.stac-item
2024-03-31 16:38:18	wofs_ls_163052_2024-03-31.stac-item
2024-04-09 17:21:55	wofs_ls_170052_2024-04-09.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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