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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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30 results

Time (local)	Label
2014-06-27 15:36:00	wofs_ls_152066_2014-06-27.stac-item
2014-07-22 15:31:35	wofs_ls_151070_2014-07-22.stac-item
2014-11-18 18:48:16	wofs_ls_184051_2014-11-18.stac-item
2015-12-06 16:32:50	wofs_ls_161068_2015-12-06.stac-item
2016-05-26 16:51:53	wofs_ls_165055_2016-05-26.stac-item
2016-08-13 19:19:38	wofs_ls_190037_2016-08-13.stac-item
2017-01-04 17:49:40	wofs_ls_174059_2017-01-04.stac-item
2017-01-12 18:44:16	wofs_ls_182072_2017-01-12.stac-item
2018-02-20 19:50:51	wofs_ls_194054_2018-02-20.stac-item
2018-06-26 18:27:33	wofs_ls_180064_2018-06-26.stac-item
2018-08-13 16:46:17	wofs_ls_164057_2018-08-13.stac-item
2019-03-14 18:49:28	wofs_ls_183071_2019-03-14.stac-item
2019-05-08 15:38:58	wofs_ls_152074_2019-05-08.stac-item
2019-05-08 18:44:47	wofs_ls_184044_2019-05-08.stac-item
2019-06-17 17:59:16	wofs_ls_176053_2019-06-17.stac-item
2019-11-10 17:49:50	wofs_ls_174059_2019-11-10.stac-item
2021-01-05 17:13:50	wofs_ls_168062_2021-01-05.stac-item
2021-02-17 18:30:48	wofs_ls_181054_2021-02-17.stac-item
2021-12-24 17:02:30	wofs_ls_167049_2021-12-24.stac-item
2022-05-24 17:10:18	wofs_ls_168055_2022-05-24.stac-item
2022-07-18 17:21:13	wofs_ls_169066_2022-07-18.stac-item
2022-09-27 17:33:29	wofs_ls_170080_2022-09-27.stac-item
2022-09-27 17:33:29	wofs_ls_170080_2022-09-27.stac-item
2022-10-17 18:44:08	wofs_ls_182071_2022-10-17.stac-item
2022-10-23 17:16:34	wofs_ls_168068_2022-10-23.stac-item
2023-01-31 19:07:17	wofs_ls_188036_2023-01-31.stac-item
2023-05-09 18:04:46	wofs_ls_178037_2023-05-09.stac-item
2023-06-12 17:20:07	wofs_ls_168080_2023-06-12.stac-item
2024-04-02 17:14:11	wofs_ls_169048_2024-04-02.stac-item
2024-04-18 16:32:35	wofs_ls_161069_2024-04-18.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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