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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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31 results

Time (local)	Label
2013-08-11 20:24:11	wofs_ls_200039_2013-08-11.stac-item
2013-10-30 17:22:05	wofs_ls_168079_2013-10-30.stac-item
2013-12-23 18:23:37	wofs_ls_178079_2013-12-23.stac-item
2013-12-31 19:03:02	wofs_ls_186054_2013-12-31.stac-item
2014-12-07 19:21:30	wofs_ls_189057_2014-12-07.stac-item
2016-11-04 19:56:24	wofs_ls_195051_2016-11-04.stac-item
2019-11-26 19:27:28	wofs_ls_190056_2019-11-26.stac-item
2019-11-27 15:21:15	wofs_ls_149074_2019-11-27.stac-item
2020-01-19 18:43:03	wofs_ls_184038_2020-01-19.stac-item
2020-01-22 17:45:49	wofs_ls_173065_2020-01-22.stac-item
2020-06-11 17:20:46	wofs_ls_168081_2020-06-11.stac-item
2020-11-29 20:11:09	wofs_ls_197057_2020-11-29.stac-item
2020-12-20 18:43:38	wofs_ls_184039_2020-12-20.stac-item
2021-08-22 17:39:05	wofs_ls_171079_2021-08-22.stac-item
2022-01-02 16:18:00	wofs_ls_158077_2022-01-02.stac-item
2022-02-05 17:31:15	wofs_ls_172044_2022-02-05.stac-item
2022-05-01 15:31:50	wofs_ls_151071_2022-05-01.stac-item
2022-05-28 19:59:22	wofs_ls_196045_2022-05-28.stac-item
2022-09-29 20:20:57	wofs_ls_200035_2022-09-29.stac-item
2022-10-01 18:44:03	wofs_ls_182071_2022-10-01.stac-item
2022-10-02 16:54:04	wofs_ls_165058_2022-10-02.stac-item
2022-10-15 17:12:25	wofs_ls_168058_2022-10-15.stac-item
2022-11-26 17:48:43	wofs_ls_174056_2022-11-26.stac-item
2022-11-28 19:08:27	wofs_ls_188039_2022-11-28.stac-item
2022-11-30 17:19:35	wofs_ls_170045_2022-11-30.stac-item
2022-12-25 18:59:27	wofs_ls_185063_2022-12-25.stac-item
2022-12-31 19:54:07	wofs_ls_195045_2022-12-31.stac-item
2022-12-31 19:58:06	wofs_ls_195055_2022-12-31.stac-item
2023-02-25 17:32:47	wofs_ls_171063_2023-02-25.stac-item
2023-04-18 17:11:38	wofs_ls_167073_2023-04-18.stac-item
2024-06-01 17:51:02	wofs_ls_173080_2024-06-01.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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