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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
2013-11-26 20:03:15	wofs_ls_197034_2013-11-26.stac-item
2014-01-01 19:47:05	wofs_ls_193056_2014-01-01.stac-item
2014-02-19 17:20:22	wofs_ls_168077_2014-02-19.stac-item
2014-08-09 15:20:34	wofs_ls_149073_2014-08-09.stac-item
2014-11-27 17:04:00	wofs_ls_167053_2014-11-27.stac-item
2015-07-04 16:52:17	wofs_ls_164072_2015-07-04.stac-item
2016-02-02 18:50:43	wofs_ls_183073_2016-02-02.stac-item
2016-05-25 19:24:23	wofs_ls_190050_2016-05-25.stac-item
2016-05-26 16:58:15	wofs_ls_165071_2016-05-26.stac-item
2016-08-19 17:12:05	wofs_ls_168058_2016-08-19.stac-item
2017-01-25 18:08:30	wofs_ls_177060_2017-01-25.stac-item
2019-03-13 16:28:32	wofs_ls_160074_2019-03-13.stac-item
2020-04-09 19:25:00	wofs_ls_191036_2020-04-09.stac-item
2020-05-22 15:58:51	wofs_ls_156062_2020-05-22.stac-item
2021-04-29 20:11:22	wofs_ls_198044_2021-04-29.stac-item
2021-05-25 17:35:59	wofs_ls_172057_2021-05-25.stac-item
2021-10-28 17:53:29	wofs_ls_176037_2021-10-28.stac-item
2022-02-19 17:06:33	wofs_ls_166075_2022-02-19.stac-item
2022-04-27 16:40:27	wofs_ls_163057_2022-04-27.stac-item
2022-06-13 20:51:26	wofs_ls_204050_2022-06-13.stac-item
2022-06-21 18:27:33	wofs_ls_180061_2022-06-21.stac-item
2022-07-27 17:21:57	wofs_ls_168083_2022-07-27.stac-item
2023-08-22 18:07:59	wofs_ls_177059_2023-08-22.stac-item
2023-09-16 17:12:52	wofs_ls_168060_2023-09-16.stac-item
2024-03-28 17:00:50	wofs_ls_166061_2024-03-28.stac-item
2024-04-22 18:35:12	wofs_ls_181066_2024-04-22.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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