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
2013-04-03 09:49:01	ga_ls8c_ard_3-0-0_095074_2013-04-03_final
2013-04-03 09:49:25	ga_ls8c_ard_3-0-0_095075_2013-04-03_final
2013-04-03 09:49:49	ga_ls8c_ard_3-0-0_095076_2013-04-03_final
2013-04-03 09:50:13	ga_ls8c_ard_3-0-0_095077_2013-04-03_final
2013-04-03 09:50:37	ga_ls8c_ard_3-0-0_095078_2013-04-03_final
2013-04-03 09:51:00	ga_ls8c_ard_3-0-0_095079_2013-04-03_final
2013-04-03 09:51:24	ga_ls8c_ard_3-0-0_095080_2013-04-03_final
2013-04-06 10:03:32	ga_ls8c_ard_3-0-0_098067_2013-04-06_final
2013-06-25 09:49:32	ga_ls8c_ard_3-0-0_095075_2013-06-25_final
2013-06-25 09:49:56	ga_ls8c_ard_3-0-0_095076_2013-06-25_final
2013-06-25 09:50:20	ga_ls8c_ard_3-0-0_095077_2013-06-25_final
2013-06-25 09:50:44	ga_ls8c_ard_3-0-0_095078_2013-06-25_final
2013-06-25 09:51:08	ga_ls8c_ard_3-0-0_095079_2013-06-25_final
2013-06-25 09:51:32	ga_ls8c_ard_3-0-0_095080_2013-06-25_final
2013-06-27 09:40:23	ga_ls8c_ard_3-0-0_093083_2013-06-27_final
2013-06-27 09:40:47	ga_ls8c_ard_3-0-0_093084_2013-06-27_final
2013-06-27 09:41:11	ga_ls8c_ard_3-0-0_093085_2013-06-27_final
2013-06-27 09:41:35	ga_ls8c_ard_3-0-0_093086_2013-06-27_final
2013-06-27 09:41:58	ga_ls8c_ard_3-0-0_093087_2013-06-27_final
2013-06-29 09:30:49	ga_ls8c_ard_3-0-0_091090_2013-06-29_final
2013-10-24 09:44:47	ga_ls8c_ard_3-0-0_094079_2013-10-24_final
2013-10-24 09:45:11	ga_ls8c_ard_3-0-0_094080_2013-10-24_final
2013-10-24 09:45:35	ga_ls8c_ard_3-0-0_094081_2013-10-24_final
2013-10-24 09:45:59	ga_ls8c_ard_3-0-0_094082_2013-10-24_final
2013-10-24 09:46:23	ga_ls8c_ard_3-0-0_094083_2013-10-24_final
2013-10-24 09:46:47	ga_ls8c_ard_3-0-0_094084_2013-10-24_final
2013-11-04 09:30:37	ga_ls8c_ard_3-0-0_091090_2013-11-04_final
2014-02-06 09:39:26	ga_ls8c_ard_3-0-0_093083_2014-02-06_final
2014-02-06 09:39:49	ga_ls8c_ard_3-0-0_093084_2014-02-06_final
2014-02-06 09:40:13	ga_ls8c_ard_3-0-0_093085_2014-02-06_final
2014-02-06 09:40:37	ga_ls8c_ard_3-0-0_093086_2014-02-06_final
2014-02-06 09:41:01	ga_ls8c_ard_3-0-0_093087_2014-02-06_final
2014-02-06 09:41:25	ga_ls8c_ard_3-0-0_093088_2014-02-06_final
2014-05-09 09:57:11	ga_ls8c_ard_3-0-0_097069_2014-05-09_final
2014-05-09 09:57:35	ga_ls8c_ard_3-0-0_097070_2014-05-09_final
2014-05-09 09:57:59	ga_ls8c_ard_3-0-0_097071_2014-05-09_final
2014-05-11 09:47:12	ga_ls8c_ard_3-0-0_095075_2014-05-11_final
2014-05-11 09:47:36	ga_ls8c_ard_3-0-0_095076_2014-05-11_final
2014-05-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2014-05-11_final
2014-05-11 09:48:24	ga_ls8c_ard_3-0-0_095078_2014-05-11_final
2014-05-11 09:48:47	ga_ls8c_ard_3-0-0_095079_2014-05-11_final
2014-05-11 09:49:11	ga_ls8c_ard_3-0-0_095080_2014-05-11_final
2022-01-23 09:56:57	ga_ls8c_ard_3-2-1_097067_2022-01-23_final
2022-01-23 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-01-23_final
2022-01-23 09:57:44	ga_ls8c_ard_3-2-1_097069_2022-01-23_final
2022-01-23 09:58:08	ga_ls8c_ard_3-2-1_097070_2022-01-23_final
2022-01-23 09:58:32	ga_ls8c_ard_3-2-1_097071_2022-01-23_final
2022-01-25 09:47:46	ga_ls8c_ard_3-2-1_095075_2022-01-25_final
2022-01-25 09:48:09	ga_ls8c_ard_3-2-1_095076_2022-01-25_final
2022-01-25 09:48:33	ga_ls8c_ard_3-2-1_095077_2022-01-25_final
2022-01-25 09:48:57	ga_ls8c_ard_3-2-1_095078_2022-01-25_final
2022-01-25 09:49:21	ga_ls8c_ard_3-2-1_095079_2022-01-25_final
2022-01-25 09:49:45	ga_ls8c_ard_3-2-1_095080_2022-01-25_final
2022-04-06 09:51:33	ga_ls8c_ard_3-2-1_096070_2022-04-06_final
2022-04-06 09:51:57	ga_ls8c_ard_3-2-1_096071_2022-04-06_final
2022-04-06 09:52:21	ga_ls8c_ard_3-2-1_096072_2022-04-06_final
2022-04-06 09:52:45	ga_ls8c_ard_3-2-1_096073_2022-04-06_final
2022-04-06 09:53:09	ga_ls8c_ard_3-2-1_096074_2022-04-06_final
2022-04-06 09:53:33	ga_ls8c_ard_3-2-1_096075_2022-04-06_final
2024-01-06 09:51:52	ga_ls8c_ard_3-2-1_096070_2024-01-06_final
2024-01-06 09:52:16	ga_ls8c_ard_3-2-1_096071_2024-01-06_final
2024-01-06 09:52:40	ga_ls8c_ard_3-2-1_096072_2024-01-06_final
2024-01-06 09:53:04	ga_ls8c_ard_3-2-1_096073_2024-01-06_final
2024-01-06 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-06_final
2024-01-06 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-06_final
2024-01-06 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-06_final
2024-01-08 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-01-08_final
2024-01-08 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-01-08_final
2024-01-08 09:43:55	ga_ls8c_ard_3-2-1_094081_2024-01-08_final
2024-01-08 09:44:19	ga_ls8c_ard_3-2-1_094082_2024-01-08_final
2024-01-08 09:44:43	ga_ls8c_ard_3-2-1_094083_2024-01-08_final
2024-01-08 09:45:07	ga_ls8c_ard_3-2-1_094084_2024-01-08_final
2024-01-13 09:56:54	ga_ls8c_ard_3-2-1_097067_2024-01-13_final
2024-01-13 09:57:18	ga_ls8c_ard_3-2-1_097068_2024-01-13_final
2024-01-13 09:57:42	ga_ls8c_ard_3-2-1_097069_2024-01-13_final
2024-01-13 09:58:06	ga_ls8c_ard_3-2-1_097070_2024-01-13_final
2024-01-13 09:58:30	ga_ls8c_ard_3-2-1_097071_2024-01-13_final
2024-01-22 09:52:15	ga_ls8c_ard_3-2-1_096071_2024-01-22_final
2024-01-22 09:52:15	ga_ls8c_ard_3-2-1_096071_2024-01-22_nrt
2024-01-22 09:52:39	ga_ls8c_ard_3-2-1_096072_2024-01-22_final
2024-01-22 09:52:39	ga_ls8c_ard_3-2-1_096072_2024-01-22_nrt
2024-01-22 09:53:03	ga_ls8c_ard_3-2-1_096073_2024-01-22_final
2024-01-22 09:53:03	ga_ls8c_ard_3-2-1_096073_2024-01-22_nrt
2024-01-22 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-22_final
2024-01-22 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-22_nrt
2024-01-22 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-22_final
2024-01-22 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-22_nrt
2024-01-22 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-22_final
2024-01-22 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-22_nrt
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_final
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_nrt
2024-01-24 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-01-24_final
2024-01-24 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-01-24_nrt
2024-01-24 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-01-24_final
2024-01-24 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-01-24_nrt
2024-01-24 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-01-24_final
2024-01-24 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-01-24_nrt
2024-01-24 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-01-24_final
2024-01-24 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-01-24_nrt
2024-01-24 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-01-24_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years