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
2019-07-11 10:43:57	ga_ls8c_ard_3-1-0_104077_2019-07-11_final
2019-07-11 10:44:21	ga_ls8c_ard_3-1-0_104078_2019-07-11_final
2019-07-11 10:44:45	ga_ls8c_ard_3-1-0_104079_2019-07-11_final
2019-07-11 10:45:09	ga_ls8c_ard_3-1-0_104080_2019-07-11_final
2019-07-11 10:45:33	ga_ls8c_ard_3-1-0_104081_2019-07-11_final
2019-07-11 10:45:57	ga_ls8c_ard_3-1-0_104082_2019-07-11_final
2019-07-11 10:46:21	ga_ls8c_ard_3-1-0_104083_2019-07-11_final
2019-07-25 10:52:47	ga_ls8c_ard_3-1-0_106068_2019-07-25_final
2019-07-25 10:53:11	ga_ls8c_ard_3-1-0_106069_2019-07-25_final
2019-07-25 10:53:35	ga_ls8c_ard_3-1-0_106070_2019-07-25_final
2019-07-25 10:53:59	ga_ls8c_ard_3-1-0_106071_2019-07-25_final
2019-07-25 10:54:23	ga_ls8c_ard_3-1-0_106072_2019-07-25_final
2019-07-25 10:54:47	ga_ls8c_ard_3-1-0_106073_2019-07-25_final
2019-07-25 10:55:11	ga_ls8c_ard_3-1-0_106074_2019-07-25_final
2019-08-10 10:52:54	ga_ls8c_ard_3-1-0_106068_2019-08-10_final
2019-08-10 10:53:18	ga_ls8c_ard_3-1-0_106069_2019-08-10_final
2019-08-10 10:53:42	ga_ls8c_ard_3-1-0_106070_2019-08-10_final
2019-08-10 10:54:06	ga_ls8c_ard_3-1-0_106071_2019-08-10_final
2019-08-10 10:54:30	ga_ls8c_ard_3-1-0_106072_2019-08-10_final
2019-08-10 10:54:53	ga_ls8c_ard_3-1-0_106073_2019-08-10_final
2019-08-10 10:55:17	ga_ls8c_ard_3-1-0_106074_2019-08-10_final
2019-08-28 10:44:12	ga_ls8c_ard_3-1-0_104077_2019-08-28_final
2019-08-28 10:44:36	ga_ls8c_ard_3-1-0_104078_2019-08-28_final
2019-08-28 10:45:00	ga_ls8c_ard_3-1-0_104079_2019-08-28_final
2019-08-28 10:45:24	ga_ls8c_ard_3-1-0_104080_2019-08-28_final
2019-08-28 10:45:48	ga_ls8c_ard_3-1-0_104081_2019-08-28_final
2019-08-28 10:46:12	ga_ls8c_ard_3-1-0_104082_2019-08-28_final
2019-08-28 10:46:36	ga_ls8c_ard_3-1-0_104083_2019-08-28_final
2019-09-06 10:39:39	ga_ls8c_ard_3-1-0_103081_2019-09-06_final
2019-09-06 10:40:03	ga_ls8c_ard_3-1-0_103082_2019-09-06_final
2019-09-06 10:40:27	ga_ls8c_ard_3-1-0_103083_2019-09-06_final
2019-10-13 10:53:11	ga_ls8c_ard_3-1-0_106068_2019-10-13_final
2019-10-13 10:53:35	ga_ls8c_ard_3-1-0_106069_2019-10-13_final
2019-10-13 10:53:58	ga_ls8c_ard_3-1-0_106070_2019-10-13_final
2019-10-13 10:54:22	ga_ls8c_ard_3-1-0_106071_2019-10-13_final
2019-10-13 10:54:46	ga_ls8c_ard_3-1-0_106072_2019-10-13_final
2019-10-13 10:55:10	ga_ls8c_ard_3-1-0_106073_2019-10-13_final
2019-10-13 10:55:34	ga_ls8c_ard_3-1-0_106074_2019-10-13_final
2019-10-24 10:39:50	ga_ls8c_ard_3-1-0_103081_2019-10-24_final
2019-10-24 10:40:14	ga_ls8c_ard_3-1-0_103082_2019-10-24_final
2019-10-24 10:40:38	ga_ls8c_ard_3-1-0_103083_2019-10-24_final
2021-01-05 10:44:16	ga_ls8c_ard_3-2-0_104077_2021-01-05_final
2021-01-05 10:44:40	ga_ls8c_ard_3-2-0_104078_2021-01-05_final
2021-01-05 10:45:04	ga_ls8c_ard_3-2-0_104079_2021-01-05_final
2021-01-05 10:45:28	ga_ls8c_ard_3-2-0_104080_2021-01-05_final
2021-01-05 10:45:52	ga_ls8c_ard_3-2-0_104081_2021-01-05_final
2021-01-05 10:46:16	ga_ls8c_ard_3-2-0_104082_2021-01-05_final
2021-01-05 10:46:40	ga_ls8c_ard_3-2-0_104083_2021-01-05_final
2021-01-10 10:58:47	ga_ls8c_ard_3-2-0_107067_2021-01-10_final
2021-01-10 10:59:35	ga_ls8c_ard_3-2-0_107069_2021-01-10_final
2021-02-20 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-02-20_final
2021-02-20 10:53:14	ga_ls8c_ard_3-2-0_106069_2021-02-20_final
2021-02-20 10:53:38	ga_ls8c_ard_3-2-0_106070_2021-02-20_final
2021-02-20 10:54:02	ga_ls8c_ard_3-2-0_106071_2021-02-20_final
2021-02-20 10:54:26	ga_ls8c_ard_3-2-0_106072_2021-02-20_final
2021-02-20 10:54:50	ga_ls8c_ard_3-2-0_106073_2021-02-20_final
2021-02-20 10:55:14	ga_ls8c_ard_3-2-0_106074_2021-02-20_final
2021-03-15 10:58:25	ga_ls8c_ard_3-2-0_107067_2021-03-15_final
2021-03-15 10:58:49	ga_ls8c_ard_3-2-0_107068_2021-03-15_final
2021-03-15 10:59:13	ga_ls8c_ard_3-2-0_107069_2021-03-15_final
2021-03-19 10:39:39	ga_ls8c_ard_3-2-0_103082_2021-03-19_final
2021-03-19 10:40:03	ga_ls8c_ard_3-2-0_103083_2021-03-19_final
2021-04-02 10:48:22	ga_ls8c_ard_3-2-0_105073_2021-04-02_final
2021-04-02 10:48:46	ga_ls8c_ard_3-2-0_105074_2021-04-02_final
2021-04-02 10:49:10	ga_ls8c_ard_3-2-0_105075_2021-04-02_final
2021-04-02 10:49:34	ga_ls8c_ard_3-2-0_105076_2021-04-02_final
2021-04-02 10:49:58	ga_ls8c_ard_3-2-0_105077_2021-04-02_final
2021-04-02 10:50:22	ga_ls8c_ard_3-2-0_105078_2021-04-02_final
2021-04-02 10:50:46	ga_ls8c_ard_3-2-0_105079_2021-04-02_final
2021-04-04 10:39:36	ga_ls8c_ard_3-2-0_103082_2021-04-04_final
2021-04-04 10:40:00	ga_ls8c_ard_3-2-0_103083_2021-04-04_final
2021-04-09 10:52:31	ga_ls8c_ard_3-2-0_106068_2021-04-09_final
2021-04-09 10:52:55	ga_ls8c_ard_3-2-0_106069_2021-04-09_final
2021-04-09 10:53:19	ga_ls8c_ard_3-2-0_106070_2021-04-09_final
2021-04-09 10:53:43	ga_ls8c_ard_3-2-0_106071_2021-04-09_final
2021-04-09 10:54:07	ga_ls8c_ard_3-2-0_106072_2021-04-09_final
2021-04-09 10:54:31	ga_ls8c_ard_3-2-0_106073_2021-04-09_final
2021-04-09 10:54:55	ga_ls8c_ard_3-2-0_106074_2021-04-09_final
2021-05-18 10:58:11	ga_ls8c_ard_3-2-0_107067_2021-05-18_final
2021-05-18 10:58:35	ga_ls8c_ard_3-2-0_107068_2021-05-18_final
2021-05-18 10:58:59	ga_ls8c_ard_3-2-0_107069_2021-05-18_final
2021-05-20 10:48:14	ga_ls8c_ard_3-2-0_105073_2021-05-20_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-05-20 10:49:02	ga_ls8c_ard_3-2-0_105075_2021-05-20_final
2021-05-20 10:49:26	ga_ls8c_ard_3-2-0_105076_2021-05-20_final
2021-05-20 10:49:50	ga_ls8c_ard_3-2-0_105077_2021-05-20_final
2021-05-20 10:50:14	ga_ls8c_ard_3-2-0_105078_2021-05-20_final
2021-05-27 10:52:30	ga_ls8c_ard_3-2-0_106068_2021-05-27_final
2021-05-27 10:52:53	ga_ls8c_ard_3-2-0_106069_2021-05-27_final
2021-05-27 10:53:17	ga_ls8c_ard_3-2-0_106070_2021-05-27_final
2021-05-27 10:53:41	ga_ls8c_ard_3-2-0_106071_2021-05-27_final
2021-05-27 10:54:05	ga_ls8c_ard_3-2-0_106072_2021-05-27_final
2021-05-27 10:54:29	ga_ls8c_ard_3-2-0_106073_2021-05-27_final
2021-05-27 10:54:53	ga_ls8c_ard_3-2-0_106074_2021-05-27_final
2021-05-29 10:43:44	ga_ls8c_ard_3-2-0_104077_2021-05-29_final
2021-05-29 10:44:08	ga_ls8c_ard_3-2-0_104078_2021-05-29_final
2021-05-29 10:44:32	ga_ls8c_ard_3-2-0_104079_2021-05-29_final
2021-05-29 10:44:56	ga_ls8c_ard_3-2-0_104080_2021-05-29_final
2021-05-29 10:45:20	ga_ls8c_ard_3-2-0_104081_2021-05-29_final
2021-05-29 10:45:44	ga_ls8c_ard_3-2-0_104082_2021-05-29_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