Search alos_palsar_mosaic across 2017

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

First 100 results (query limit)

Time (local)	Label
2016-01-01 09:30:00	N00E000_16.stac-item
2016-01-01 09:30:00	N00E010_16.stac-item
2016-01-01 09:30:00	N00E025_16.stac-item
2016-01-01 09:30:00	N00E005_16.stac-item
2016-01-01 09:30:00	N00E015_16.stac-item
2016-01-01 09:30:00	N00E030_16.stac-item
2016-01-01 09:30:00	N00E020_16.stac-item
2016-01-01 09:30:00	N00E035_16.stac-item
2016-01-01 09:30:00	N05E020_16.stac-item
2016-01-01 09:30:00	N05W005_16.stac-item
2016-01-01 09:30:00	N00W010_16.stac-item
2016-01-01 09:30:00	N00E040_16.stac-item
2016-01-01 09:30:00	N05E045_16.stac-item
2016-01-01 09:30:00	N00W005_16.stac-item
2016-01-01 09:30:00	N05E035_16.stac-item
2016-01-01 09:30:00	N05E015_16.stac-item
2016-01-01 09:30:00	N05W015_16.stac-item
2016-01-01 09:30:00	N05E030_16.stac-item
2016-01-01 09:30:00	N00E050_16.stac-item
2016-01-01 09:30:00	N05E040_16.stac-item
2016-01-01 09:30:00	N05E025_16.stac-item
2016-01-01 09:30:00	N05W010_16.stac-item
2016-01-01 09:30:00	N05E010_16.stac-item
2016-01-01 09:30:00	N05E000_16.stac-item
2016-01-01 09:30:00	N05E005_16.stac-item
2016-01-01 09:30:00	N15E005_16.stac-item
2016-01-01 09:30:00	N15E025_16.stac-item
2016-01-01 09:30:00	N10E005_16.stac-item
2016-01-01 09:30:00	N15E045_16.stac-item
2016-01-01 09:30:00	N10E020_16.stac-item
2016-01-01 09:30:00	N10W015_16.stac-item
2016-01-01 09:30:00	N15W005_16.stac-item
2016-01-01 09:30:00	N15E050_16.stac-item
2016-01-01 09:30:00	N10E015_16.stac-item
2016-01-01 09:30:00	N10W020_16.stac-item
2016-01-01 09:30:00	N15E030_16.stac-item
2016-01-01 09:30:00	N10E035_16.stac-item
2016-01-01 09:30:00	N10E010_16.stac-item
2016-01-01 09:30:00	N15E010_16.stac-item
2016-01-01 09:30:00	N15W010_16.stac-item
2016-01-01 09:30:00	N10E000_16.stac-item
2016-01-01 09:30:00	N10E045_16.stac-item
2016-01-01 09:30:00	N10E030_16.stac-item
2016-01-01 09:30:00	N10W010_16.stac-item
2016-01-01 09:30:00	N15E000_16.stac-item
2016-01-01 09:30:00	N10E040_16.stac-item
2016-01-01 09:30:00	N10E025_16.stac-item
2016-01-01 09:30:00	N10E050_16.stac-item
2016-01-01 09:30:00	N15E015_16.stac-item
2016-01-01 09:30:00	N15E020_16.stac-item
2016-01-01 09:30:00	N10W005_16.stac-item
2016-01-01 09:30:00	N15E035_16.stac-item
2016-01-01 09:30:00	N15E040_16.stac-item
2016-01-01 09:30:00	N25E020_16.stac-item
2016-01-01 09:30:00	N25W010_16.stac-item
2016-01-01 09:30:00	N25E030_16.stac-item
2016-01-01 09:30:00	N30E005_16.stac-item
2016-01-01 09:30:00	N25E010_16.stac-item
2016-01-01 09:30:00	N20E010_16.stac-item
2016-01-01 09:30:00	N25W015_16.stac-item
2016-01-01 09:30:00	N25E045_16.stac-item
2016-01-01 09:30:00	N30E025_16.stac-item
2016-01-01 09:30:00	N20E045_16.stac-item
2016-01-01 09:30:00	N20W015_16.stac-item
2016-01-01 09:30:00	N30E010_16.stac-item
2016-01-01 09:30:00	N20W005_16.stac-item
2016-01-01 09:30:00	N25E015_16.stac-item
2016-01-01 09:30:00	N25E035_16.stac-item
2016-01-01 09:30:00	N20W020_16.stac-item
2016-01-01 09:30:00	N30E000_16.stac-item
2016-01-01 09:30:00	N25E040_16.stac-item
2016-01-01 09:30:00	N25E005_16.stac-item
2016-01-01 09:30:00	N15W020_16.stac-item
2016-01-01 09:30:00	N25W020_16.stac-item
2016-01-01 09:30:00	N25W005_16.stac-item
2016-01-01 09:30:00	N20E050_16.stac-item
2016-01-01 09:30:00	N20E040_16.stac-item
2016-01-01 09:30:00	N20E020_16.stac-item
2016-01-01 09:30:00	N25E025_16.stac-item
2016-01-01 09:30:00	N20E030_16.stac-item
2016-01-01 09:30:00	N20W010_16.stac-item
2016-01-01 09:30:00	N25E050_16.stac-item
2016-01-01 09:30:00	N15W015_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	N20E035_16.stac-item
2016-01-01 09:30:00	N30E015_16.stac-item
2016-01-01 09:30:00	N20E025_16.stac-item
2016-01-01 09:30:00	N20E005_16.stac-item
2016-01-01 09:30:00	N20E015_16.stac-item
2016-01-01 09:30:00	N30E040_16.stac-item
2016-01-01 09:30:00	N40E010_16.stac-item
2016-01-01 09:30:00	N35E035_16.stac-item
2016-01-01 09:30:00	N40E040_16.stac-item
2016-01-01 09:30:00	S05E015_16.stac-item
2016-01-01 09:30:00	N30W015_16.stac-item
2016-01-01 09:30:00	N35E030_16.stac-item
2016-01-01 09:30:00	S05E040_16.stac-item
2016-01-01 09:30:00	N40W015_16.stac-item
2016-01-01 09:30:00	N35E050_16.stac-item

Return to alos_palsar_mosaic across 2017 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.

Products

2017

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