Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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:

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. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2014-12-12 09:53:03	ga_ls8c_ard_3-0-0_096073_2014-12-12_final
2014-12-12 09:53:27	ga_ls8c_ard_3-0-0_096074_2014-12-12_final
2014-12-12 09:53:51	ga_ls8c_ard_3-0-0_096075_2014-12-12_final
2014-12-12 09:54:15	ga_ls8c_ard_3-0-0_096076_2014-12-12_final
2014-12-12 09:54:39	ga_ls8c_ard_3-0-0_096077_2014-12-12_final
2014-12-12 09:55:03	ga_ls8c_ard_3-0-0_096078_2014-12-12_final
2014-12-12 09:55:27	ga_ls8c_ard_3-0-0_096079_2014-12-12_final
2015-02-12 10:02:47	ga_ls8c_ard_3-0-0_098067_2015-02-12_final
2015-02-12 10:03:11	ga_ls8c_ard_3-0-0_098068_2015-02-12_final
2015-02-12 10:03:35	ga_ls8c_ard_3-0-0_098069_2015-02-12_final
2015-02-12 10:03:59	ga_ls8c_ard_3-0-0_098070_2015-02-12_final
2015-02-14 09:54:47	ga_ls8c_ard_3-0-0_096078_2015-02-14_final
2015-02-14 09:55:11	ga_ls8c_ard_3-0-0_096079_2015-02-14_final
2015-02-16 09:44:01	ga_ls8c_ard_3-0-0_094082_2015-02-16_final
2015-02-16 09:44:25	ga_ls8c_ard_3-0-0_094083_2015-02-16_final
2015-02-16 09:44:49	ga_ls8c_ard_3-0-0_094084_2015-02-16_final
2015-02-16 09:45:13	ga_ls8c_ard_3-0-0_094085_2015-02-16_final
2015-02-16 09:45:37	ga_ls8c_ard_3-0-0_094086_2015-02-16_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2017-04-24 09:52:20	ga_ls8c_ard_3-0-0_096073_2017-04-24_final
2017-04-24 09:52:44	ga_ls8c_ard_3-0-0_096074_2017-04-24_final
2017-04-24 09:53:08	ga_ls8c_ard_3-0-0_096075_2017-04-24_final
2017-04-24 09:53:32	ga_ls8c_ard_3-0-0_096076_2017-04-24_final
2017-04-24 09:53:56	ga_ls8c_ard_3-0-0_096077_2017-04-24_final
2017-04-24 09:54:20	ga_ls8c_ard_3-0-0_096078_2017-04-24_final
2017-04-24 09:54:44	ga_ls8c_ard_3-0-0_096079_2017-04-24_final
2017-04-26 09:43:33	ga_ls8c_ard_3-0-0_094082_2017-04-26_final
2017-04-26 09:43:57	ga_ls8c_ard_3-0-0_094083_2017-04-26_final
2017-04-26 09:44:21	ga_ls8c_ard_3-0-0_094084_2017-04-26_final
2017-04-26 09:44:45	ga_ls8c_ard_3-0-0_094085_2017-04-26_final
2017-04-26 09:45:09	ga_ls8c_ard_3-0-0_094086_2017-04-26_final
2017-04-26 09:45:33	ga_ls8c_ard_3-0-0_094087_2017-04-26_final
2017-05-03 09:48:04	ga_ls8c_ard_3-0-0_095078_2017-05-03_final
2017-05-03 09:48:28	ga_ls8c_ard_3-0-0_095079_2017-05-03_final
2017-05-03 09:48:52	ga_ls8c_ard_3-0-0_095080_2017-05-03_final
2017-05-03 09:49:16	ga_ls8c_ard_3-0-0_095081_2017-05-03_final
2017-05-03 09:49:40	ga_ls8c_ard_3-0-0_095082_2017-05-03_final
2017-05-03 09:50:04	ga_ls8c_ard_3-0-0_095083_2017-05-03_final
2017-05-05 09:38:56	ga_ls8c_ard_3-0-0_093086_2017-05-05_final
2017-05-05 09:39:20	ga_ls8c_ard_3-0-0_093087_2017-05-05_final
2017-05-05 09:39:44	ga_ls8c_ard_3-0-0_093088_2017-05-05_final
2017-05-26 09:52:32	ga_ls8c_ard_3-0-0_096073_2017-05-26_final
2017-05-26 09:52:56	ga_ls8c_ard_3-0-0_096074_2017-05-26_final
2017-05-26 09:53:20	ga_ls8c_ard_3-0-0_096075_2017-05-26_final
2017-05-26 09:53:44	ga_ls8c_ard_3-0-0_096076_2017-05-26_final
2017-05-26 09:54:08	ga_ls8c_ard_3-0-0_096077_2017-05-26_final
2017-05-26 09:54:32	ga_ls8c_ard_3-0-0_096078_2017-05-26_final
2017-05-26 09:54:56	ga_ls8c_ard_3-0-0_096079_2017-05-26_final
2017-05-28 09:43:47	ga_ls8c_ard_3-0-0_094082_2017-05-28_final
2017-05-28 09:44:11	ga_ls8c_ard_3-0-0_094083_2017-05-28_final
2017-05-28 09:44:35	ga_ls8c_ard_3-0-0_094084_2017-05-28_final
2017-05-28 09:44:59	ga_ls8c_ard_3-0-0_094085_2017-05-28_final
2017-05-28 09:45:23	ga_ls8c_ard_3-0-0_094086_2017-05-28_final
2017-05-28 09:45:47	ga_ls8c_ard_3-0-0_094087_2017-05-28_final
2017-06-04 09:48:25	ga_ls8c_ard_3-0-0_095078_2017-06-04_final
2017-06-04 09:48:49	ga_ls8c_ard_3-0-0_095079_2017-06-04_final
2017-06-04 09:49:13	ga_ls8c_ard_3-0-0_095080_2017-06-04_final
2017-06-04 09:49:37	ga_ls8c_ard_3-0-0_095081_2017-06-04_final
2017-06-04 09:50:01	ga_ls8c_ard_3-0-0_095082_2017-06-04_final
2017-06-04 09:50:25	ga_ls8c_ard_3-0-0_095083_2017-06-04_final
2017-06-06 09:38:52	ga_ls8c_ard_3-0-0_093085_2017-06-06_final
2017-06-06 09:39:16	ga_ls8c_ard_3-0-0_093086_2017-06-06_final
2017-06-06 09:39:40	ga_ls8c_ard_3-0-0_093087_2017-06-06_final
2017-06-06 09:40:04	ga_ls8c_ard_3-0-0_093088_2017-06-06_final
2017-06-20 09:48:32	ga_ls8c_ard_3-0-0_095078_2017-06-20_final
2017-06-20 09:48:56	ga_ls8c_ard_3-0-0_095079_2017-06-20_final
2017-06-20 09:49:20	ga_ls8c_ard_3-0-0_095080_2017-06-20_final
2017-06-20 09:49:44	ga_ls8c_ard_3-0-0_095081_2017-06-20_final
2017-06-20 09:50:07	ga_ls8c_ard_3-0-0_095082_2017-06-20_final
2017-06-20 09:50:31	ga_ls8c_ard_3-0-0_095083_2017-06-20_final
2017-06-22 09:38:58	ga_ls8c_ard_3-0-0_093085_2017-06-22_final
2017-06-22 09:39:22	ga_ls8c_ard_3-0-0_093086_2017-06-22_final
2017-06-22 09:39:46	ga_ls8c_ard_3-0-0_093087_2017-06-22_final
2017-06-22 09:40:10	ga_ls8c_ard_3-0-0_093088_2017-06-22_final
2017-06-29 09:43:59	ga_ls8c_ard_3-0-0_094082_2017-06-29_final
2017-06-29 09:44:23	ga_ls8c_ard_3-0-0_094083_2017-06-29_final
2017-06-29 09:44:47	ga_ls8c_ard_3-0-0_094084_2017-06-29_final
2017-06-29 09:45:11	ga_ls8c_ard_3-0-0_094085_2017-06-29_final
2017-06-29 09:45:35	ga_ls8c_ard_3-0-0_094086_2017-06-29_final
2017-06-29 09:45:59	ga_ls8c_ard_3-0-0_094087_2017-06-29_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2024-02-23 09:53:02	ga_ls8c_ard_3-2-1_096073_2024-02-23_final
2024-02-25 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-02-25_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-25 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-02-25_final
2024-02-25 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-02-25_final
2024-03-03 09:48:44	ga_ls8c_ard_3-2-1_095078_2024-03-03_final
2024-03-03 09:49:08	ga_ls8c_ard_3-2-1_095079_2024-03-03_final
2024-03-03 09:49:32	ga_ls8c_ard_3-2-1_095080_2024-03-03_final
2024-03-03 09:49:56	ga_ls8c_ard_3-2-1_095081_2024-03-03_final
2024-03-03 09:50:20	ga_ls8c_ard_3-2-1_095082_2024-03-03_final
2024-03-03 09:50:44	ga_ls8c_ard_3-2-1_095083_2024-03-03_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years