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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
2014-02-27 16:29:36	wofs_ls_160074_2014-02-27.stac-item
2014-06-02 15:45:40	wofs_ls_153075_2014-06-02.stac-item
2016-10-02 17:34:57	wofs_ls_172053_2016-10-02.stac-item
2016-10-03 18:22:37	wofs_ls_179064_2016-10-03.stac-item
2016-11-18 20:02:47	wofs_ls_197036_2016-11-18.stac-item
2016-12-02 17:13:42	wofs_ls_167077_2016-12-02.stac-item
2018-11-12 18:09:32	wofs_ls_177063_2018-11-12.stac-item
2019-04-24 18:43:29	wofs_ls_182072_2019-04-24.stac-item
2019-05-10 17:05:55	wofs_ls_166075_2019-05-10.stac-item
2019-07-13 16:57:10	wofs_ls_166052_2019-07-13.stac-item
2019-08-30 20:15:59	wofs_ls_198054_2019-08-30.stac-item
2020-04-19 16:56:36	wofs_ls_165067_2020-04-19.stac-item
2020-04-19 16:57:48	wofs_ls_165070_2020-04-19.stac-item
2021-01-03 17:23:25	wofs_ls_170055_2021-01-03.stac-item
2021-04-25 17:19:58	wofs_ls_170048_2021-04-25.stac-item
2021-05-01 19:55:24	wofs_ls_196035_2021-05-01.stac-item
2021-10-16 20:50:07	wofs_ls_204046_2021-10-16.stac-item
2021-12-31 16:27:10	wofs_ls_160069_2021-12-31.stac-item
2022-01-02 20:14:29	wofs_ls_198050_2022-01-02.stac-item
2022-02-12 16:59:15	wofs_ls_165072_2022-02-12.stac-item
2022-02-26 18:01:39	wofs_ls_175074_2022-02-26.stac-item
2022-03-03 17:22:46	wofs_ls_170054_2022-03-03.stac-item
2022-03-22 18:03:36	wofs_ls_175079_2022-03-22.stac-item
2022-06-29 16:46:21	wofs_ls_164056_2022-06-29.stac-item
2022-08-02 17:35:09	wofs_ls_170084_2022-08-02.stac-item
2022-08-28 17:09:26	wofs_ls_168051_2022-08-28.stac-item
2023-02-10 19:03:33	wofs_ls_186058_2023-02-10.stac-item
2023-06-22 20:14:28	wofs_ls_198052_2023-06-22.stac-item
2023-09-10 16:58:02	wofs_ls_166054_2023-09-10.stac-item
2024-03-18 18:11:09	wofs_ls_176082_2024-03-18.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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