Search alos_palsar_mosaic 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

100 results

Time (local)	Label
2007-01-01 09:30:00	N05E000_07.stac-item
2007-01-01 09:30:00	N20E000_07.stac-item
2007-01-01 09:30:00	N15E000_07.stac-item
2007-01-01 09:30:00	N10E000_07.stac-item
2007-01-01 09:30:00	N25E000_07.stac-item
2007-01-01 09:30:00	N30E000_07.stac-item
2007-01-01 09:30:00	N35E000_07.stac-item
2007-01-01 09:30:00	N40E000_07.stac-item
2008-01-01 09:30:00	N10E000_08.stac-item
2008-01-01 09:30:00	N05E000_08.stac-item
2008-01-01 09:30:00	N15E000_08.stac-item
2008-01-01 09:30:00	N20E000_08.stac-item
2008-01-01 09:30:00	N25E000_08.stac-item
2008-01-01 09:30:00	N35E000_08.stac-item
2008-01-01 09:30:00	N30E000_08.stac-item
2008-01-01 09:30:00	N40E000_08.stac-item
2009-01-01 09:30:00	N05E000_09.stac-item
2009-01-01 09:30:00	N10E000_09.stac-item
2009-01-01 09:30:00	N00E000_09.stac-item
2009-01-01 09:30:00	N20E000_09.stac-item
2009-01-01 09:30:00	N15E000_09.stac-item
2009-01-01 09:30:00	N25E000_09.stac-item
2009-01-01 09:30:00	N40E000_09.stac-item
2009-01-01 09:30:00	N30E000_09.stac-item
2009-01-01 09:30:00	N35E000_09.stac-item
2009-01-01 09:30:00	S05E000_09.stac-item
2010-01-01 09:30:00	N00E000_10.stac-item
2010-01-01 09:30:00	N15E000_10.stac-item
2010-01-01 09:30:00	N05E000_10.stac-item
2010-01-01 09:30:00	N10E000_10.stac-item
2010-01-01 09:30:00	N30E000_10.stac-item
2010-01-01 09:30:00	N25E000_10.stac-item
2010-01-01 09:30:00	N20E000_10.stac-item
2010-01-01 09:30:00	N40E000_10.stac-item
2010-01-01 09:30:00	N35E000_10.stac-item
2010-01-01 09:30:00	S05E000_10.stac-item
2015-01-01 09:30:00	N00E000_15.stac-item
2015-01-01 09:30:00	N10E000_15.stac-item
2015-01-01 09:30:00	N05E000_15.stac-item
2015-01-01 09:30:00	N15E000_15.stac-item
2015-01-01 09:30:00	N20E000_15.stac-item
2015-01-01 09:30:00	N30E000_15.stac-item
2015-01-01 09:30:00	N25E000_15.stac-item
2015-01-01 09:30:00	N35E000_15.stac-item
2015-01-01 09:30:00	N40E000_15.stac-item
2016-01-01 09:30:00	N05E000_16.stac-item
2016-01-01 09:30:00	N10E000_16.stac-item
2016-01-01 09:30:00	N15E000_16.stac-item
2016-01-01 09:30:00	N30E000_16.stac-item
2016-01-01 09:30:00	N20E000_16.stac-item
2016-01-01 09:30:00	N25E000_16.stac-item
2016-01-01 09:30:00	N35E000_16.stac-item
2016-01-01 09:30:00	N40E000_16.stac-item
2017-01-01 09:30:00	N10E000_17.stac-item
2017-01-01 09:30:00	N15E000_17.stac-item
2017-01-01 09:30:00	N20E000_17.stac-item
2017-01-01 09:30:00	N30E000_17.stac-item
2017-01-01 09:30:00	N25E000_17.stac-item
2017-01-01 09:30:00	N35E000_17.stac-item
2017-01-01 09:30:00	N40E000_17.stac-item
2018-01-01 09:30:00	N10E000_18.stac-item
2018-01-01 09:30:00	N05E000_18.stac-item
2018-01-01 09:30:00	N15E000_18.stac-item
2018-01-01 09:30:00	N20E000_18.stac-item
2018-01-01 09:30:00	N25E000_18.stac-item
2018-01-01 09:30:00	N30E000_18.stac-item
2018-01-01 09:30:00	N35E000_18.stac-item
2018-01-01 09:30:00	N40E000_18.stac-item
2019-01-01 09:30:00	N05E000_19.stac-item
2019-01-01 09:30:00	N10E000_19.stac-item
2019-01-01 09:30:00	N20E000_19.stac-item
2019-01-01 09:30:00	N15E000_19.stac-item
2019-01-01 09:30:00	N30E000_19.stac-item
2019-01-01 09:30:00	N25E000_19.stac-item
2019-01-01 09:30:00	N35E000_19.stac-item
2019-01-01 09:30:00	N40E000_19.stac-item
2020-01-01 09:30:00	N05E000_20.stac-item
2020-01-01 09:30:00	N10E000_20.stac-item
2020-01-01 09:30:00	N15E000_20.stac-item
2020-01-01 09:30:00	N25E000_20.stac-item
2020-01-01 09:30:00	N20E000_20.stac-item
2020-01-01 09:30:00	N30E000_20.stac-item
2020-01-01 09:30:00	N35E000_20.stac-item
2020-01-01 09:30:00	N40E000_20.stac-item
2021-01-01 09:30:00	N10E000_21.stac-item
2021-01-01 09:30:00	N05E000_21.stac-item
2021-01-01 09:30:00	N20E000_21.stac-item
2021-01-01 09:30:00	N15E000_21.stac-item
2021-01-01 09:30:00	N25E000_21.stac-item
2021-01-01 09:30:00	N30E000_21.stac-item
2021-01-01 09:30:00	N40E000_21.stac-item
2021-01-01 09:30:00	N35E000_21.stac-item
2022-01-01 09:30:00	N05E000_22.stac-item
2022-01-01 09:30:00	N20E000_22.stac-item
2022-01-01 09:30:00	N15E000_22.stac-item
2022-01-01 09:30:00	N10E000_22.stac-item
2022-01-01 09:30:00	N35E000_22.stac-item
2022-01-01 09:30:00	N25E000_22.stac-item
2022-01-01 09:30:00	N30E000_22.stac-item
2022-01-01 09:30:00	N40E000_22.stac-item

Return to alos_palsar_mosaic whole collection overview

alos_palsar_mosaic: ALOS/PALSAR and ALOS-2/PALSAR-2 annual mosaic tiles generated for use in the Data Cube - 25m pixel spacing, WGS84. These tiles are derived from the orignal JAXA mosaics with conversion to GeoTIFF.

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