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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:

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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:

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Acquisition time range From

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35 results

Time (local)	Label
2013-04-07 17:10:55	wofs_ls_168053_2013-04-07.stac-item
2013-10-30 20:22:42	wofs_ls_200036_2013-10-30.stac-item
2014-01-25 20:34:16	wofs_ls_201051_2014-01-25.stac-item
2014-10-31 20:41:05	wofs_ls_202055_2014-10-31.stac-item
2015-04-16 17:38:41	wofs_ls_171080_2015-04-16.stac-item
2015-08-15 17:20:52	wofs_ls_170050_2015-08-15.stac-item
2015-09-12 17:41:48	wofs_ls_174040_2015-09-12.stac-item
2015-12-02 18:24:06	wofs_ls_181037_2015-12-02.stac-item
2016-01-02 16:17:03	wofs_ls_158075_2016-01-02.stac-item
2016-02-22 19:53:58	wofs_ls_195046_2016-02-22.stac-item
2016-03-13 18:03:04	wofs_ls_175078_2016-03-13.stac-item
2017-02-16 17:39:14	wofs_ls_171080_2017-02-16.stac-item
2018-01-31 17:00:18	wofs_ls_166060_2018-01-31.stac-item
2018-05-01 20:46:28	wofs_ls_204040_2018-05-01.stac-item
2018-12-23 16:36:23	wofs_ls_160093_2018-12-23.stac-item
2020-03-23 17:16:33	wofs_ls_168070_2020-03-23.stac-item
2021-01-27 16:34:38	wofs_ls_162057_2021-01-27.stac-item
2021-06-26 17:36:35	wofs_ls_172058_2021-06-26.stac-item
2021-09-14 19:13:29	wofs_ls_188052_2021-09-14.stac-item
2021-10-01 18:19:08	wofs_ls_179055_2021-10-01.stac-item
2021-10-23 17:48:54	wofs_ls_173072_2021-10-23.stac-item
2021-11-15 16:11:26	wofs_ls_158064_2021-11-15.stac-item
2021-12-21 20:40:50	wofs_ls_202054_2021-12-21.stac-item
2022-02-20 16:51:29	wofs_ls_165053_2022-02-20.stac-item
2022-03-07 18:36:56	wofs_ls_182054_2022-03-07.stac-item
2022-04-08 20:16:54	wofs_ls_198057_2022-04-08.stac-item
2022-05-28 19:58:10	wofs_ls_196042_2022-05-28.stac-item
2022-06-13 16:52:26	wofs_ls_164072_2022-06-13.stac-item
2022-07-03 17:09:50	wofs_ls_168052_2022-07-03.stac-item
2022-10-25 18:44:42	wofs_ls_182072_2022-10-25.stac-item
2022-12-28 18:43:18	wofs_ls_182069_2022-12-28.stac-item
2023-03-13 19:56:50	wofs_ls_195053_2023-03-13.stac-item
2023-05-04 17:01:52	wofs_ls_167049_2023-05-04.stac-item
2023-05-11 20:25:24	wofs_ls_200048_2023-05-11.stac-item
2024-02-03 17:46:11	wofs_ls_172081_2024-02-03.stac-item

Return to wofs_ls whole collection overview

wofs_ls: Historic Flood Mapping Water Observations from Space

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