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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
2014-03-28 20:42:09	wofs_ls_203042_2014-03-28.stac-item
2016-01-23 18:13:16	wofs_ls_177072_2016-01-23.stac-item
2016-12-06 18:27:27	wofs_ls_179076_2016-12-06.stac-item
2017-04-09 18:38:13	wofs_ls_183043_2017-04-09.stac-item
2018-03-24 19:44:12	wofs_ls_194038_2018-03-24.stac-item
2018-04-09 18:15:33	wofs_ls_178064_2018-04-09.stac-item
2018-04-30 18:34:41	wofs_ls_181066_2018-04-30.stac-item
2019-02-04 19:12:22	wofs_ls_189035_2019-02-04.stac-item
2019-09-16 20:54:10	wofs_ls_205041_2019-09-16.stac-item
2019-12-27 17:04:51	wofs_ls_167055_2019-12-27.stac-item
2021-04-04 17:04:22	wofs_ls_167055_2021-04-04.stac-item
2021-05-10 19:57:59	wofs_ls_195057_2021-05-10.stac-item
2021-06-28 20:40:24	wofs_ls_202054_2021-06-28.stac-item
2021-11-15 17:46:08	wofs_ls_174054_2021-11-15.stac-item
2021-11-22 19:08:54	wofs_ls_187055_2021-11-22.stac-item
2021-11-25 18:33:17	wofs_ls_180075_2021-11-25.stac-item
2022-04-21 18:53:40	wofs_ls_185050_2022-04-21.stac-item
2022-06-27 17:06:17	wofs_ls_166075_2022-06-27.stac-item
2022-07-29 18:39:20	wofs_ls_182060_2022-07-29.stac-item
2022-09-15 18:00:04	wofs_ls_174084_2022-09-15.stac-item
2022-09-24 17:39:57	wofs_ls_173049_2022-09-24.stac-item
2022-10-08 17:08:34	wofs_ls_167064_2022-10-08.stac-item
2022-11-27 16:54:41	wofs_ls_165060_2022-11-27.stac-item
2022-12-19 17:55:40	wofs_ls_175058_2022-12-19.stac-item
2023-02-11 17:21:03	wofs_ls_169064_2023-02-11.stac-item
2023-02-11 19:41:13	wofs_ls_193044_2023-02-11.stac-item
2023-04-01 18:05:46	wofs_ls_176069_2023-04-01.stac-item
2023-07-13 19:44:53	wofs_ls_193055_2023-07-13.stac-item
2023-08-31 16:26:55	wofs_ls_160069_2023-08-31.stac-item
2024-03-27 18:43:53	wofs_ls_183057_2024-03-27.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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