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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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31 results

Time (local)	Label
2015-03-11 16:19:59	wofs_ls_159068_2015-03-11.stac-item
2015-03-15 19:00:14	wofs_ls_187036_2015-03-15.stac-item
2015-09-08 18:22:26	wofs_ls_178080_2015-09-08.stac-item
2016-01-07 18:12:27	wofs_ls_177070_2016-01-07.stac-item
2017-02-15 18:18:07	wofs_ls_180038_2017-02-15.stac-item
2017-04-07 17:17:41	wofs_ls_169058_2017-04-07.stac-item
2017-06-17 17:28:51	wofs_ls_170070_2017-06-17.stac-item
2017-08-12 18:16:36	wofs_ls_178065_2017-08-12.stac-item
2017-11-24 17:24:32	wofs_ls_170058_2017-11-24.stac-item
2017-12-16 18:31:54	wofs_ls_180072_2017-12-16.stac-item
2018-09-25 18:10:29	wofs_ls_177066_2018-09-25.stac-item
2018-11-15 17:06:44	wofs_ls_166076_2018-11-15.stac-item
2019-08-02 19:50:20	wofs_ls_194052_2019-08-02.stac-item
2019-11-05 17:28:55	wofs_ls_171053_2019-11-05.stac-item
2020-03-24 16:19:43	wofs_ls_159067_2020-03-24.stac-item
2020-06-22 15:20:39	wofs_ls_149074_2020-06-22.stac-item
2020-07-10 16:40:08	wofs_ls_163056_2020-07-10.stac-item
2020-09-05 16:39:28	wofs_ls_162069_2020-09-05.stac-item
2021-04-13 18:41:00	wofs_ls_182065_2021-04-13.stac-item
2022-01-25 17:08:04	wofs_ls_167063_2022-01-25.stac-item
2022-04-07 17:47:12	wofs_ls_175038_2022-04-07.stac-item
2022-05-07 19:45:47	wofs_ls_193057_2022-05-07.stac-item
2022-05-18 21:00:23	wofs_ls_206043_2022-05-18.stac-item
2022-09-23 17:51:00	wofs_ls_174062_2022-09-23.stac-item
2022-11-25 20:16:51	wofs_ls_199040_2022-11-25.stac-item
2022-12-20 18:40:31	wofs_ls_182062_2022-12-20.stac-item
2023-03-24 18:44:10	wofs_ls_184041_2023-03-24.stac-item
2023-04-04 16:09:18	wofs_ls_157072_2023-04-04.stac-item
2023-08-06 18:07:04	wofs_ls_177057_2023-08-06.stac-item
2024-02-27 19:16:00	wofs_ls_188059_2024-02-27.stac-item
2024-04-20 18:45:14	wofs_ls_183060_2024-04-20.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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