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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
2013-12-20 17:54:43	wofs_ls_173084_2013-12-20.stac-item
2014-03-30 18:54:05	wofs_ls_185050_2014-03-30.stac-item
2015-06-17 17:40:11	wofs_ls_173053_2015-06-17.stac-item
2015-07-09 17:08:53	wofs_ls_167067_2015-07-09.stac-item
2015-10-12 17:53:52	wofs_ls_176039_2015-10-12.stac-item
2015-10-24 18:33:24	wofs_ls_180076_2015-10-24.stac-item
2016-04-11 20:37:20	wofs_ls_202047_2016-04-11.stac-item
2016-06-02 17:01:41	wofs_ls_166064_2016-06-02.stac-item
2016-08-17 17:19:15	wofs_ls_170045_2016-08-17.stac-item
2017-07-12 17:17:34	wofs_ls_169057_2017-07-12.stac-item
2017-08-29 18:59:32	wofs_ls_185064_2017-08-29.stac-item
2019-02-15 18:55:00	wofs_ls_186038_2019-02-15.stac-item
2019-08-16 16:47:00	wofs_ls_164057_2019-08-16.stac-item
2019-08-17 17:31:28	wofs_ls_171060_2019-08-17.stac-item
2020-04-26 18:43:36	wofs_ls_182072_2020-04-26.stac-item
2020-05-25 19:41:09	wofs_ls_193046_2020-05-25.stac-item
2021-06-03 19:01:36	wofs_ls_187039_2021-06-03.stac-item
2022-01-05 19:06:29	wofs_ls_187050_2022-01-05.stac-item
2022-01-17 16:21:47	wofs_ls_159071_2022-01-17.stac-item
2022-02-22 19:53:42	wofs_ls_195045_2022-02-22.stac-item
2022-04-13 16:32:32	wofs_ls_161068_2022-04-13.stac-item
2022-05-08 17:11:40	wofs_ls_168058_2022-05-08.stac-item
2022-05-27 20:06:45	wofs_ls_197047_2022-05-27.stac-item
2022-07-03 20:20:26	wofs_ls_200034_2022-07-03.stac-item
2022-07-17 19:48:32	wofs_ls_194048_2022-07-17.stac-item
2022-09-13 16:21:10	wofs_ls_160053_2022-09-13.stac-item
2022-11-21 20:46:22	wofs_ls_203052_2022-11-21.stac-item
2022-12-17 17:17:49	wofs_ls_169056_2022-12-17.stac-item
2023-01-05 19:26:22	wofs_ls_190053_2023-01-05.stac-item
2023-03-06 20:41:07	wofs_ls_202055_2023-03-06.stac-item
2023-03-14 18:17:31	wofs_ls_178067_2023-03-14.stac-item
2023-07-22 17:57:50	wofs_ls_176050_2023-07-22.stac-item
2023-07-25 20:58:02	wofs_ls_205052_2023-07-25.stac-item
2024-02-09 19:23:40	wofs_ls_190047_2024-02-09.stac-item
2024-06-22 16:27:10	wofs_ls_160072_2024-06-22.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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