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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
2013-10-13 18:12:40	wofs_ls_177066_2013-10-13.stac-item
2014-02-16 16:39:08	wofs_ls_163051_2014-02-16.stac-item
2015-04-02 17:19:09	wofs_ls_169062_2015-04-02.stac-item
2015-07-09 17:08:05	wofs_ls_167065_2015-07-09.stac-item
2015-11-16 18:24:29	wofs_ls_181038_2015-11-16.stac-item
2016-01-02 16:17:27	wofs_ls_158076_2016-01-02.stac-item
2017-01-09 18:16:34	wofs_ls_177080_2017-01-09.stac-item
2018-05-13 19:30:35	wofs_ls_192036_2018-05-13.stac-item
2018-07-09 16:23:28	wofs_ls_159078_2018-07-09.stac-item
2018-09-26 17:10:05	wofs_ls_168054_2018-09-26.stac-item
2019-06-19 17:48:31	wofs_ls_174057_2019-06-19.stac-item
2019-06-27 17:06:17	wofs_ls_166075_2019-06-27.stac-item
2019-11-16 17:11:56	wofs_ls_168057_2019-11-16.stac-item
2020-04-09 17:46:55	wofs_ls_175038_2020-04-09.stac-item
2021-06-18 20:04:29	wofs_ls_196057_2021-06-18.stac-item
2021-09-03 17:51:06	wofs_ls_175047_2021-09-03.stac-item
2022-01-23 18:48:57	wofs_ls_185037_2022-01-23.stac-item
2022-01-23 20:29:02	wofs_ls_201040_2022-01-23.stac-item
2022-02-26 17:54:04	wofs_ls_175055_2022-02-26.stac-item
2022-06-15 18:16:36	wofs_ls_178066_2022-06-15.stac-item
2022-07-21 21:00:22	wofs_ls_206042_2022-07-21.stac-item
2022-09-11 15:52:29	wofs_ls_154075_2022-09-11.stac-item
2022-09-17 17:37:44	wofs_ls_172059_2022-09-17.stac-item
2022-09-20 20:27:06	wofs_ls_201035_2022-09-20.stac-item
2022-11-16 15:39:57	wofs_ls_152074_2022-11-16.stac-item
2022-11-17 20:21:42	wofs_ls_199052_2022-11-17.stac-item
2022-12-19 17:57:40	wofs_ls_175063_2022-12-19.stac-item
2023-07-11 18:18:45	wofs_ls_179056_2023-07-11.stac-item
2024-03-19 17:07:09	wofs_ls_167061_2024-03-19.stac-item
2024-04-06 18:37:30	wofs_ls_181071_2024-04-06.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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