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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
2013-04-02 17:22:54	wofs_ls_169073_2013-04-02.stac-item
2013-09-01 17:32:34	wofs_ls_171058_2013-09-01.stac-item
2014-06-24 19:50:36	wofs_ls_195038_2014-06-24.stac-item
2015-10-08 16:47:41	wofs_ls_164059_2015-10-08.stac-item
2015-11-17 17:35:14	wofs_ls_172054_2015-11-17.stac-item
2016-01-01 18:37:37	wofs_ls_183040_2016-01-01.stac-item
2016-01-04 20:50:34	wofs_ls_204048_2016-01-04.stac-item
2016-03-23 20:09:46	wofs_ls_197055_2016-03-23.stac-item
2016-09-19 19:45:56	wofs_ls_193056_2016-09-19.stac-item
2016-09-23 20:56:54	wofs_ls_205048_2016-09-23.stac-item
2017-08-13 20:32:47	wofs_ls_201050_2017-08-13.stac-item
2017-11-30 18:27:29	wofs_ls_180061_2017-11-30.stac-item
2019-03-28 17:20:31	wofs_ls_169065_2019-03-28.stac-item
2019-06-19 17:50:54	wofs_ls_174063_2019-06-19.stac-item
2020-01-08 17:36:18	wofs_ls_171072_2020-01-08.stac-item
2020-02-19 16:34:19	wofs_ls_161072_2020-02-19.stac-item
2020-04-02 16:16:14	wofs_ls_158074_2020-04-02.stac-item
2020-12-02 17:29:29	wofs_ls_170070_2020-12-02.stac-item
2021-07-14 17:19:52	wofs_ls_170047_2021-07-14.stac-item
2021-07-14 19:01:32	wofs_ls_186054_2021-07-14.stac-item
2021-12-30 18:48:32	wofs_ls_185036_2021-12-30.stac-item
2022-02-28 18:33:57	wofs_ls_181062_2022-02-28.stac-item
2022-06-03 17:47:00	wofs_ls_174054_2022-06-03.stac-item
2022-06-09 17:15:30	wofs_ls_168068_2022-06-09.stac-item
2022-06-18 17:08:16	wofs_ls_167065_2022-06-18.stac-item
2022-06-18 17:08:16	wofs_ls_167065_2022-06-18.stac-item
2022-07-20 16:22:14	wofs_ls_159072_2022-07-20.stac-item
2022-08-22 19:24:11	wofs_ls_190048_2022-08-22.stac-item
2022-12-28 21:00:53	wofs_ls_206042_2022-12-28.stac-item
2024-04-26 20:29:47	wofs_ls_201044_2024-04-26.stac-item
2024-05-16 18:31:27	wofs_ls_181058_2024-05-16.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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