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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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40 results

Time (local)	Label
2014-04-14 18:15:46	fc_ls_178063_2014-04-14.stac-item
2014-08-14 15:36:45	fc_ls_152067_2014-08-14.stac-item
2015-08-25 17:53:14	fc_ls_176038_2015-08-25.stac-item
2015-09-16 20:36:28	fc_ls_202044_2015-09-16.stac-item
2015-12-03 17:41:38	fc_ls_172070_2015-12-03.stac-item
2016-05-16 16:21:30	fc_ls_159072_2016-05-16.stac-item
2018-03-23 17:28:50	fc_ls_171055_2018-03-23.stac-item
2018-08-30 17:27:40	fc_ls_171052_2018-08-30.stac-item
2018-10-15 20:53:43	fc_ls_205041_2018-10-15.stac-item
2018-11-15 17:05:56	fc_ls_166074_2018-11-15.stac-item
2018-11-19 16:34:02	fc_ls_162056_2018-11-19.stac-item
2019-06-14 19:09:14	fc_ls_187058_2019-06-14.stac-item
2019-09-06 17:10:48	fc_ls_167070_2019-09-06.stac-item
2019-11-09 18:45:27	fc_ls_183059_2019-11-09.stac-item
2020-01-24 17:37:02	fc_ls_171074_2020-01-24.stac-item
2020-03-28 17:24:17	fc_ls_171043_2020-03-28.stac-item
2020-05-15 17:25:33	fc_ls_171047_2020-05-15.stac-item
2020-06-04 17:07:20	fc_ls_167063_2020-06-04.stac-item
2021-02-04 17:19:17	fc_ls_170045_2021-02-04.stac-item
2021-02-19 16:38:21	fc_ls_163051_2021-02-19.stac-item
2021-04-19 17:59:53	fc_ls_176055_2021-04-19.stac-item
2021-11-19 17:11:49	fc_ls_168062_2021-11-19.stac-item
2022-02-10 20:23:24	fc_ls_199057_2022-02-10.stac-item
2022-02-21 17:31:33	fc_ls_172045_2022-02-21.stac-item
2022-04-04 17:27:52	fc_ls_170067_2022-04-04.stac-item
2022-04-04 17:27:52	fc_ls_170067_2022-04-04.stac-item
2022-04-25 17:48:37	fc_ls_173073_2022-04-25.stac-item
2022-05-11 16:08:50	fc_ls_157071_2022-05-11.stac-item
2022-05-30 16:38:48	fc_ls_162069_2022-05-30.stac-item
2022-07-01 18:15:39	fc_ls_178063_2022-07-01.stac-item
2022-09-14 17:59:55	fc_ls_175069_2022-09-14.stac-item
2022-10-03 18:31:17	fc_ls_180070_2022-10-03.stac-item
2022-10-12 19:52:05	fc_ls_195040_2022-10-12.stac-item
2022-12-31 18:12:03	fc_ls_179037_2022-12-31.stac-item
2023-04-11 21:02:01	fc_ls_206047_2023-04-11.stac-item
2023-04-18 17:12:26	fc_ls_167075_2023-04-18.stac-item
2023-05-24 19:57:55	fc_ls_195057_2023-05-24.stac-item
2023-07-20 16:32:07	fc_ls_162052_2023-07-20.stac-item
2024-01-27 18:15:11	fc_ls_179046_2024-01-27.stac-item
2024-02-06 16:35:01	fc_ls_161073_2024-02-06.stac-item

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fc_ls: Landsat Fractional Cover Observations from Space

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