Search io_lulc whole collection

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:

Add field

59 results

Time (local)	Label
2017-06-01 09:30:00	38M-2017
2017-06-01 09:30:00	37N-2017
2017-06-01 09:30:00	38N-2017
2017-06-01 09:30:00	36M-2017
2017-06-01 09:30:00	37M-2017
2017-06-01 09:30:00	36N-2017
2017-06-01 09:30:00	35M-2017
2017-06-01 09:30:00	31M-2017
2017-06-01 09:30:00	35N-2017
2017-06-01 09:30:00	34N-2017
2017-06-01 09:30:00	32M-2017
2017-06-01 09:30:00	34M-2017
2017-06-01 09:30:00	33N-2017
2017-06-01 09:30:00	32N-2017
2017-06-01 09:30:00	33M-2017
2018-06-01 09:30:00	38M-2018
2018-06-01 09:30:00	36N-2018
2018-06-01 09:30:00	38N-2018
2018-06-01 09:30:00	36M-2018
2018-06-01 09:30:00	35N-2018
2018-06-01 09:30:00	37N-2018
2018-06-01 09:30:00	37M-2018
2018-06-01 09:30:00	31M-2018
2018-06-01 09:30:00	35M-2018
2018-06-01 09:30:00	34N-2018
2018-06-01 09:30:00	33N-2018
2018-06-01 09:30:00	34M-2018
2018-06-01 09:30:00	32M-2018
2018-06-01 09:30:00	33M-2018
2018-06-01 09:30:00	32N-2018
2019-06-01 09:30:00	38M-2019
2019-06-01 09:30:00	37M-2019
2019-06-01 09:30:00	34N-2019
2019-06-01 09:30:00	34M-2019
2019-06-01 09:30:00	38N-2019
2019-06-01 09:30:00	36M-2019
2019-06-01 09:30:00	37N-2019
2019-06-01 09:30:00	36N-2019
2019-06-01 09:30:00	35M-2019
2019-06-01 09:30:00	35N-2019
2019-06-01 09:30:00	31M-2019
2019-06-01 09:30:00	32N-2019
2019-06-01 09:30:00	32M-2019
2019-06-01 09:30:00	33N-2019
2019-06-01 09:30:00	33M-2019
2020-01-01 09:30:00	33M-2020
2020-01-01 09:30:00	36M-2020
2020-01-01 09:30:00	38M-2020
2020-01-01 09:30:00	35M-2020
2020-01-01 09:30:00	34M-2020
2020-01-01 09:30:00	37M-2020
2020-01-01 09:30:00	32M-2020
2021-01-01 09:30:00	36M-2021
2021-01-01 09:30:00	35M-2021
2021-01-01 09:30:00	34M-2021
2021-01-01 09:30:00	32M-2021
2021-01-01 09:30:00	38M-2021
2021-01-01 09:30:00	33M-2021
2021-01-01 09:30:00	37M-2021

Return to io_lulc whole collection overview

io_lulc: Impact Observatory (ESRI) Landcover Classification 9 Class

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