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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
2014-05-17 17:16:30	wofs_ls_169055_2014-05-17.stac-item
2014-09-24 20:16:52	wofs_ls_199041_2014-09-24.stac-item
2015-11-14 17:05:55	wofs_ls_167058_2015-11-14.stac-item
2015-12-09 20:09:56	wofs_ls_198039_2015-12-09.stac-item
2016-05-04 20:43:32	wofs_ls_203047_2016-05-04.stac-item
2017-07-29 18:00:58	wofs_ls_176057_2017-07-29.stac-item
2017-10-03 17:47:19	wofs_ls_174053_2017-10-03.stac-item
2018-07-22 19:02:50	wofs_ls_186059_2018-07-22.stac-item
2018-09-03 20:18:45	wofs_ls_199047_2018-09-03.stac-item
2019-02-11 16:13:07	wofs_ls_158066_2019-02-11.stac-item
2020-02-15 18:35:33	wofs_ls_181066_2020-02-15.stac-item
2021-02-02 19:07:45	wofs_ls_188038_2021-02-02.stac-item
2021-03-03 20:17:57	wofs_ls_199044_2021-03-03.stac-item
2021-04-30 19:19:43	wofs_ls_189054_2021-04-30.stac-item
2021-04-30 20:53:26	wofs_ls_205041_2021-04-30.stac-item
2022-01-24 18:10:52	wofs_ls_176081_2022-01-24.stac-item
2022-02-08 17:20:00	wofs_ls_169062_2022-02-08.stac-item
2022-02-14 16:41:17	wofs_ls_163058_2022-02-14.stac-item
2022-05-27 17:41:35	wofs_ls_173056_2022-05-27.stac-item
2022-10-16 17:59:16	wofs_ls_175067_2022-10-16.stac-item
2022-11-14 18:06:23	wofs_ls_178038_2022-11-14.stac-item
2022-12-18 18:46:55	wofs_ls_184047_2022-12-18.stac-item
2022-12-21 19:22:11	wofs_ls_189058_2022-12-21.stac-item
2023-02-25 17:34:47	wofs_ls_171068_2023-02-25.stac-item
2023-03-31 20:34:17	wofs_ls_201054_2023-03-31.stac-item
2023-04-30 15:54:10	wofs_ls_155065_2023-04-30.stac-item
2023-06-22 16:13:53	wofs_ls_158069_2023-06-22.stac-item
2024-01-20 16:39:23	wofs_ls_162069_2024-01-20.stac-item
2024-01-21 19:38:22	wofs_ls_193037_2024-01-21.stac-item
2024-04-18 16:35:23	wofs_ls_161076_2024-04-18.stac-item
2024-05-10 20:43:10	wofs_ls_203047_2024-05-10.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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