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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
2014-11-29 16:57:14	wofs_ls_165067_2014-11-29.stac-item
2016-01-26 20:09:30	wofs_ls_198038_2016-01-26.stac-item
2016-01-27 17:43:21	wofs_ls_173059_2016-01-27.stac-item
2016-03-15 19:21:36	wofs_ls_189058_2016-03-15.stac-item
2018-06-09 16:07:36	wofs_ls_157070_2018-06-09.stac-item
2019-08-01 19:06:40	wofs_ls_187051_2019-08-01.stac-item
2019-11-06 16:40:04	wofs_ls_162070_2019-11-06.stac-item
2020-01-28 20:22:29	wofs_ls_199055_2020-01-28.stac-item
2020-04-22 17:33:04	wofs_ls_170081_2020-04-22.stac-item
2020-08-08 16:17:44	wofs_ls_158077_2020-08-08.stac-item
2020-12-22 18:38:26	wofs_ls_182057_2020-12-22.stac-item
2021-12-05 18:16:58	wofs_ls_178065_2021-12-05.stac-item
2022-01-28 20:03:58	wofs_ls_196055_2022-01-28.stac-item
2022-03-05 19:30:21	wofs_ls_192033_2022-03-05.stac-item
2022-04-18 19:07:25	wofs_ls_188038_2022-04-18.stac-item
2022-04-18 20:47:06	wofs_ls_204040_2022-04-18.stac-item
2022-04-22 18:10:48	wofs_ls_176082_2022-04-22.stac-item
2022-06-22 16:40:05	wofs_ls_163056_2022-06-22.stac-item
2022-06-28 17:42:46	wofs_ls_173058_2022-06-28.stac-item
2022-08-13 17:55:50	wofs_ls_175059_2022-08-13.stac-item
2022-10-12 20:41:38	wofs_ls_203040_2022-10-12.stac-item
2022-10-17 20:13:03	wofs_ls_198046_2022-10-17.stac-item
2022-12-04 17:42:51	wofs_ls_174041_2022-12-04.stac-item
2022-12-07 20:43:33	wofs_ls_203045_2022-12-07.stac-item
2022-12-20 20:15:01	wofs_ls_198051_2022-12-20.stac-item
2022-12-29 18:35:09	wofs_ls_181064_2022-12-29.stac-item
2023-02-20 18:01:12	wofs_ls_176057_2023-02-20.stac-item
2023-04-18 18:38:10	wofs_ls_183042_2023-04-18.stac-item
2023-07-14 16:27:26	wofs_ls_160071_2023-07-14.stac-item
2024-02-09 17:56:21	wofs_ls_174076_2024-02-09.stac-item
2024-03-23 18:27:40	wofs_ls_179077_2024-03-23.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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