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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

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Dataset URI:

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26 results

Time (local)	Label
2013-09-22 17:54:58	wofs_ls_174068_2013-09-22.stac-item
2013-11-09 17:55:35	wofs_ls_174070_2013-11-09.stac-item
2014-02-06 17:42:41	wofs_ls_173055_2014-02-06.stac-item
2015-03-25 16:25:51	wofs_ls_161052_2015-03-25.stac-item
2015-11-12 20:26:52	wofs_ls_201035_2015-11-12.stac-item
2016-01-01 17:12:17	wofs_ls_167074_2016-01-01.stac-item
2016-03-01 19:10:30	wofs_ls_187061_2016-03-01.stac-item
2018-09-16 18:13:25	wofs_ls_178058_2018-09-16.stac-item
2018-10-30 17:03:55	wofs_ls_166069_2018-10-30.stac-item
2019-05-26 17:06:29	wofs_ls_166076_2019-05-26.stac-item
2019-09-15 17:00:42	wofs_ls_166060_2019-09-15.stac-item
2020-09-14 18:04:15	wofs_ls_177049_2020-09-14.stac-item
2021-01-02 19:51:09	wofs_ls_195038_2021-01-02.stac-item
2021-06-17 19:18:26	wofs_ls_189050_2021-06-17.stac-item
2022-01-09 17:05:39	wofs_ls_167057_2022-01-09.stac-item
2022-01-21 17:40:22	wofs_ls_171082_2022-01-21.stac-item
2022-02-12 20:05:03	wofs_ls_197042_2022-02-12.stac-item
2022-02-18 18:40:45	wofs_ls_183048_2022-02-18.stac-item
2022-06-28 16:05:52	wofs_ls_157063_2022-06-28.stac-item
2022-07-03 18:02:29	wofs_ls_176061_2022-07-03.stac-item
2023-02-02 17:33:12	wofs_ls_170079_2023-02-02.stac-item
2023-02-22 16:14:41	wofs_ls_158069_2023-02-22.stac-item
2023-02-25 17:33:11	wofs_ls_171064_2023-02-25.stac-item
2023-03-29 19:56:40	wofs_ls_195053_2023-03-29.stac-item
2023-05-25 19:45:12	wofs_ls_194041_2023-05-25.stac-item
2024-02-29 19:44:27	wofs_ls_194037_2024-02-29.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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