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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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26 results

Time (local)	Label
2014-06-05 17:47:07	wofs_ls_174054_2014-06-05.stac-item
2014-07-04 17:25:33	wofs_ls_169077_2014-07-04.stac-item
2014-12-13 18:47:10	wofs_ls_183064_2014-12-13.stac-item
2015-01-14 17:14:37	wofs_ls_167080_2015-01-14.stac-item
2015-08-30 16:40:53	wofs_ls_163058_2015-08-30.stac-item
2016-05-11 19:15:08	wofs_ls_188058_2016-05-11.stac-item
2017-11-30 16:47:24	wofs_ls_164058_2017-11-30.stac-item
2018-02-08 16:16:48	wofs_ls_158075_2018-02-08.stac-item
2018-08-30 19:09:45	wofs_ls_187060_2018-08-30.stac-item
2018-10-05 17:05:10	wofs_ls_167057_2018-10-05.stac-item
2018-11-25 20:50:49	wofs_ls_204049_2018-11-25.stac-item
2019-11-28 17:35:50	wofs_ls_172055_2019-11-28.stac-item
2019-12-07 17:30:26	wofs_ls_171057_2019-12-07.stac-item
2020-04-19 18:32:41	wofs_ls_181060_2020-04-19.stac-item
2020-09-10 16:54:51	wofs_ls_165061_2020-09-10.stac-item
2021-12-27 18:25:37	wofs_ls_180056_2021-12-27.stac-item
2022-01-28 17:37:23	wofs_ls_172059_2022-01-28.stac-item
2022-02-26 20:15:40	wofs_ls_199038_2022-02-26.stac-item
2022-05-09 20:22:39	wofs_ls_199056_2022-05-09.stac-item
2022-07-18 18:53:43	wofs_ls_185050_2022-07-18.stac-item
2022-08-30 21:02:11	wofs_ls_206045_2022-08-30.stac-item
2022-12-14 17:43:08	wofs_ls_172073_2022-12-14.stac-item
2022-12-24 17:23:32	wofs_ls_170055_2022-12-24.stac-item
2023-07-21 15:45:39	wofs_ls_153075_2023-07-21.stac-item
2023-08-18 18:33:05	wofs_ls_181060_2023-08-18.stac-item
2024-04-13 16:14:55	wofs_ls_158071_2024-04-13.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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