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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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32 results

Time (local)	Label
2013-09-28 17:13:27	wofs_ls_168057_2013-09-28.stac-item
2014-10-13 17:34:56	wofs_ls_172053_2014-10-13.stac-item
2016-02-14 17:36:03	wofs_ls_171072_2016-02-14.stac-item
2016-03-26 19:04:56	wofs_ls_186063_2016-03-26.stac-item
2016-10-29 20:32:18	wofs_ls_201048_2016-10-29.stac-item
2017-05-09 17:24:18	wofs_ls_169075_2017-05-09.stac-item
2017-05-13 16:51:15	wofs_ls_165054_2017-05-13.stac-item
2018-03-24 19:52:10	wofs_ls_194058_2018-03-24.stac-item
2018-07-11 17:38:02	wofs_ls_173048_2018-07-11.stac-item
2020-03-01 16:15:19	wofs_ls_158071_2020-03-01.stac-item
2020-07-14 17:58:18	wofs_ls_175066_2020-07-14.stac-item
2020-09-03 16:51:01	wofs_ls_164067_2020-09-03.stac-item
2020-11-25 17:18:54	wofs_ls_169059_2020-11-25.stac-item
2021-03-04 21:00:01	wofs_ls_206041_2021-03-04.stac-item
2021-03-21 20:07:50	wofs_ls_197050_2021-03-21.stac-item
2021-08-16 16:33:39	wofs_ls_161070_2021-08-16.stac-item
2021-11-08 17:49:40	wofs_ls_173074_2021-11-08.stac-item
2021-11-16 18:21:43	wofs_ls_180043_2021-11-16.stac-item
2021-11-22 17:33:49	wofs_ls_171064_2021-11-22.stac-item
2021-12-23 18:49:59	wofs_ls_184055_2021-12-23.stac-item
2022-04-09 19:19:17	wofs_ls_189052_2022-04-09.stac-item
2022-05-26 18:43:12	wofs_ls_182071_2022-05-26.stac-item
2022-07-05 19:25:01	wofs_ls_190051_2022-07-05.stac-item
2022-08-03 20:28:51	wofs_ls_201040_2022-08-03.stac-item
2022-10-05 18:55:28	wofs_ls_186037_2022-10-05.stac-item
2022-11-15 16:36:22	wofs_ls_161076_2022-11-15.stac-item
2023-01-31 16:00:40	wofs_ls_156064_2023-01-31.stac-item
2024-03-04 17:05:55	wofs_ls_166074_2024-03-04.stac-item
2024-03-07 17:33:11	wofs_ls_171065_2024-03-07.stac-item
2024-04-01 17:23:33	wofs_ls_170057_2024-04-01.stac-item
2024-04-09 18:12:35	wofs_ls_178056_2024-04-09.stac-item
2024-06-19 20:42:38	wofs_ls_203046_2024-06-19.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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