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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
2014-01-03 16:21:19	wofs_ls_159067_2014-01-03.stac-item
2014-01-22 19:57:48	wofs_ls_196037_2014-01-22.stac-item
2015-11-04 19:43:01	wofs_ls_193049_2015-11-04.stac-item
2016-03-14 17:02:39	wofs_ls_166066_2016-03-14.stac-item
2016-05-08 17:06:58	wofs_ls_167062_2016-05-08.stac-item
2016-08-15 17:39:10	wofs_ls_172064_2016-08-15.stac-item
2016-12-27 17:01:03	wofs_ls_166061_2016-12-27.stac-item
2017-02-06 18:34:19	wofs_ls_181063_2017-02-06.stac-item
2017-07-09 18:32:43	wofs_ls_180075_2017-07-09.stac-item
2018-01-20 17:27:20	wofs_ls_169081_2018-01-20.stac-item
2018-05-03 17:29:04	wofs_ls_170072_2018-05-03.stac-item
2019-03-19 17:19:57	wofs_ls_170048_2019-03-19.stac-item
2019-08-18 18:16:20	wofs_ls_178064_2019-08-18.stac-item
2020-08-02 16:51:12	wofs_ls_164068_2020-08-02.stac-item
2020-11-27 17:15:19	wofs_ls_167081_2020-11-27.stac-item
2021-07-24 18:03:49	wofs_ls_176064_2021-07-24.stac-item
2021-08-11 16:15:05	wofs_ls_158070_2021-08-11.stac-item
2021-08-25 19:36:55	wofs_ls_192049_2021-08-25.stac-item
2021-10-02 17:34:17	wofs_ls_170082_2021-10-02.stac-item
2021-12-21 20:41:14	wofs_ls_202055_2021-12-21.stac-item
2022-01-19 17:44:20	wofs_ls_173061_2022-01-19.stac-item
2022-04-13 17:16:02	wofs_ls_169053_2022-04-13.stac-item
2022-04-26 18:23:07	wofs_ls_180051_2022-04-26.stac-item
2022-05-01 17:07:08	wofs_ls_167062_2022-05-01.stac-item
2022-08-16 20:52:12	wofs_ls_204051_2022-08-16.stac-item
2022-10-11 20:49:42	wofs_ls_204045_2022-10-11.stac-item
2022-11-01 16:23:58	wofs_ls_159076_2022-11-01.stac-item
2022-12-20 18:42:31	wofs_ls_182067_2022-12-20.stac-item
2023-04-30 19:07:09	wofs_ls_187053_2023-04-30.stac-item
2023-08-26 16:54:08	wofs_ls_165060_2023-08-26.stac-item
2024-04-15 17:43:01	wofs_ls_172075_2024-04-15.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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