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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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33 results

Time (local)	Label
2013-12-06 19:11:01	wofs_ls_187058_2013-12-06.stac-item
2014-11-18 17:15:21	wofs_ls_168066_2014-11-18.stac-item
2015-05-23 20:58:43	wofs_ls_206040_2015-05-23.stac-item
2015-07-29 18:22:22	wofs_ls_179065_2015-07-29.stac-item
2016-04-13 17:12:47	wofs_ls_168061_2016-04-13.stac-item
2016-06-17 19:26:40	wofs_ls_191040_2016-06-17.stac-item
2017-03-26 20:05:38	wofs_ls_197045_2017-03-26.stac-item
2017-04-02 18:44:03	wofs_ls_182073_2017-04-02.stac-item
2017-05-26 18:03:46	wofs_ls_176065_2017-05-26.stac-item
2017-06-23 20:02:47	wofs_ls_196053_2017-06-23.stac-item
2018-03-01 18:06:54	wofs_ls_177057_2018-03-01.stac-item
2018-03-22 18:23:16	wofs_ls_180052_2018-03-22.stac-item
2018-05-24 19:14:17	wofs_ls_189042_2018-05-24.stac-item
2018-11-25 19:06:45	wofs_ls_188036_2018-11-25.stac-item
2019-02-28 20:08:54	wofs_ls_197053_2019-02-28.stac-item
2019-05-12 16:46:48	wofs_ls_164058_2019-05-12.stac-item
2019-05-26 20:15:05	wofs_ls_198053_2019-05-26.stac-item
2019-10-17 18:37:42	wofs_ls_182055_2019-10-17.stac-item
2020-03-20 16:39:18	wofs_ls_163054_2020-03-20.stac-item
2020-07-16 16:09:04	wofs_ls_157071_2020-07-16.stac-item
2020-07-31 18:38:51	wofs_ls_182059_2020-07-31.stac-item
2020-09-01 20:07:59	wofs_ls_198034_2020-09-01.stac-item
2020-11-30 20:50:50	wofs_ls_204048_2020-11-30.stac-item
2021-06-06 16:26:19	wofs_ls_160068_2021-06-06.stac-item
2021-12-07 18:42:28	wofs_ls_184036_2021-12-07.stac-item
2022-04-14 17:16:12	wofs_ls_168069_2022-04-14.stac-item
2022-05-05 19:02:28	wofs_ls_187041_2022-05-05.stac-item
2022-05-26 17:00:43	wofs_ls_166062_2022-05-26.stac-item
2022-09-14 19:33:37	wofs_ls_191056_2022-09-14.stac-item
2022-11-29 17:38:16	wofs_ls_171076_2022-11-29.stac-item
2022-12-10 16:30:58	wofs_ls_160078_2022-12-10.stac-item
2023-05-24 19:53:08	wofs_ls_195045_2023-05-24.stac-item
2024-03-26 17:22:01	wofs_ls_168083_2024-03-26.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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