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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:

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File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

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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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35 results

Time (local)	Label
2013-09-29 19:33:37	wofs_ls_191052_2013-09-29.stac-item
2013-12-17 17:16:17	wofs_ls_168065_2013-12-17.stac-item
2014-02-22 17:36:53	wofs_ls_173041_2014-02-22.stac-item
2016-03-14 18:42:44	wofs_ls_182069_2016-03-14.stac-item
2016-09-18 17:22:59	wofs_ls_170054_2016-09-18.stac-item
2016-11-02 18:31:29	wofs_ls_181055_2016-11-02.stac-item
2017-01-04 17:48:52	wofs_ls_174057_2017-01-04.stac-item
2017-01-09 18:07:47	wofs_ls_177058_2017-01-09.stac-item
2017-06-15 17:46:23	wofs_ls_172083_2017-06-15.stac-item
2017-06-20 19:29:05	wofs_ls_191046_2017-06-20.stac-item
2018-03-06 19:56:19	wofs_ls_196037_2018-03-06.stac-item
2018-05-01 17:39:51	wofs_ls_172068_2018-05-01.stac-item
2018-05-14 15:31:32	wofs_ls_151072_2018-05-14.stac-item
2018-06-06 17:09:10	wofs_ls_168054_2018-06-06.stac-item
2018-09-19 17:07:50	wofs_ls_167064_2018-09-19.stac-item
2019-11-22 19:52:35	wofs_ls_194057_2019-11-22.stac-item
2020-12-19 18:08:20	wofs_ls_177059_2020-12-19.stac-item
2021-06-07 20:15:47	wofs_ls_199039_2021-06-07.stac-item
2021-08-28 16:54:27	wofs_ls_165060_2021-08-28.stac-item
2021-11-09 20:13:04	wofs_ls_199034_2021-11-09.stac-item
2022-01-07 18:56:31	wofs_ls_185056_2022-01-07.stac-item
2022-01-17 18:43:42	wofs_ls_183055_2022-01-17.stac-item
2022-02-13 19:17:00	wofs_ls_188061_2022-02-13.stac-item
2022-05-28 17:37:02	wofs_ls_172059_2022-05-28.stac-item
2022-06-24 16:32:11	wofs_ls_161067_2022-06-24.stac-item
2022-07-16 19:10:26	wofs_ls_187061_2022-07-16.stac-item
2022-07-28 18:02:02	wofs_ls_175075_2022-07-28.stac-item
2022-09-23 17:04:40	wofs_ls_166069_2022-09-23.stac-item
2022-11-23 19:41:03	wofs_ls_193043_2022-11-23.stac-item
2023-01-06 17:50:07	wofs_ls_173075_2023-01-06.stac-item
2023-04-04 17:42:36	wofs_ls_173058_2023-04-04.stac-item
2023-05-11 17:18:48	wofs_ls_168076_2023-05-11.stac-item
2023-06-27 21:20:45	wofs_ls_209048_2023-06-27.stac-item
2024-04-11 18:50:01	wofs_ls_184056_2024-04-11.stac-item
2024-04-22 18:28:25	wofs_ls_181049_2024-04-22.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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