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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
2013-05-23 18:52:30	wofs_ls_184057_2013-05-23.stac-item
2013-11-23 16:31:42	wofs_ls_160077_2013-11-23.stac-item
2014-07-29 20:23:19	wofs_ls_200042_2014-07-29.stac-item
2014-11-05 20:54:54	wofs_ls_205043_2014-11-05.stac-item
2015-09-20 20:08:59	wofs_ls_198037_2015-09-20.stac-item
2017-02-03 19:39:08	wofs_ls_192055_2017-02-03.stac-item
2017-07-27 16:34:50	wofs_ls_162058_2017-07-27.stac-item
2017-08-24 17:02:06	wofs_ls_166064_2017-08-24.stac-item
2017-10-05 17:39:21	wofs_ls_172064_2017-10-05.stac-item
2018-09-10 20:28:33	wofs_ls_200056_2018-09-10.stac-item
2019-01-23 20:34:32	wofs_ls_201055_2019-01-23.stac-item
2019-05-16 16:26:54	wofs_ls_160070_2019-05-16.stac-item
2019-10-01 20:14:57	wofs_ls_198051_2019-10-01.stac-item
2020-01-23 18:18:19	wofs_ls_180038_2020-01-23.stac-item
2020-06-05 19:23:30	wofs_ls_190048_2020-06-05.stac-item
2020-10-01 17:13:29	wofs_ls_168061_2020-10-01.stac-item
2021-02-24 20:16:37	wofs_ls_198056_2021-02-24.stac-item
2021-11-22 17:31:02	wofs_ls_171057_2021-11-22.stac-item
2022-01-29 16:38:34	wofs_ls_163051_2022-01-29.stac-item
2022-03-03 17:23:10	wofs_ls_170055_2022-03-03.stac-item
2022-03-03 17:23:10	wofs_ls_170055_2022-03-03.stac-item
2022-04-02 18:24:17	wofs_ls_180054_2022-04-02.stac-item
2022-04-15 19:33:34	wofs_ls_191057_2022-04-15.stac-item
2022-08-05 15:32:37	wofs_ls_151072_2022-08-05.stac-item
2022-08-18 17:20:53	wofs_ls_170048_2022-08-18.stac-item
2022-10-05 18:14:32	wofs_ls_178059_2022-10-05.stac-item
2022-11-21 19:56:36	wofs_ls_195051_2022-11-21.stac-item
2022-12-12 18:43:24	wofs_ls_182069_2022-12-12.stac-item
2023-05-04 18:43:08	wofs_ls_183055_2023-05-04.stac-item
2024-03-05 18:33:18	wofs_ls_181060_2024-03-05.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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