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
2013-12-08 10:49:49	ga_ls8c_ard_3-0-0_105072_2013-12-08_final
2013-12-08 10:50:13	ga_ls8c_ard_3-0-0_105073_2013-12-08_final
2013-12-08 10:50:37	ga_ls8c_ard_3-0-0_105074_2013-12-08_final
2013-12-08 10:51:01	ga_ls8c_ard_3-0-0_105075_2013-12-08_final
2013-12-08 10:51:25	ga_ls8c_ard_3-0-0_105076_2013-12-08_final
2013-12-08 10:51:49	ga_ls8c_ard_3-0-0_105077_2013-12-08_final
2013-12-08 10:52:13	ga_ls8c_ard_3-0-0_105078_2013-12-08_final
2013-12-31 10:54:12	ga_ls8c_ard_3-0-0_106068_2013-12-31_final
2013-12-31 10:54:36	ga_ls8c_ard_3-0-0_106069_2013-12-31_final
2013-12-31 10:55:00	ga_ls8c_ard_3-0-0_106070_2013-12-31_final
2013-12-31 10:55:23	ga_ls8c_ard_3-0-0_106071_2013-12-31_final
2013-12-31 10:55:47	ga_ls8c_ard_3-0-0_106072_2013-12-31_final
2013-12-31 10:56:11	ga_ls8c_ard_3-0-0_106073_2013-12-31_final
2015-01-21 10:44:00	ga_ls8c_ard_3-1-0_104077_2015-01-21_final
2015-01-21 10:44:23	ga_ls8c_ard_3-0-0_104078_2015-01-21_final
2015-01-21 10:44:47	ga_ls8c_ard_3-0-0_104079_2015-01-21_final
2015-01-21 10:45:11	ga_ls8c_ard_3-0-0_104080_2015-01-21_final
2015-01-21 10:45:35	ga_ls8c_ard_3-0-0_104081_2015-01-21_final
2015-01-21 10:45:59	ga_ls8c_ard_3-0-0_104082_2015-01-21_final
2015-02-13 10:48:25	ga_ls8c_ard_3-0-0_105073_2015-02-13_final
2015-02-13 10:48:49	ga_ls8c_ard_3-0-0_105074_2015-02-13_final
2015-02-13 10:49:13	ga_ls8c_ard_3-0-0_105075_2015-02-13_final
2015-02-13 10:49:37	ga_ls8c_ard_3-0-0_105076_2015-02-13_final
2015-02-13 10:50:01	ga_ls8c_ard_3-0-0_105077_2015-02-13_final
2015-02-13 10:50:25	ga_ls8c_ard_3-0-0_105078_2015-02-13_final
2015-02-15 10:39:14	ga_ls8c_ard_3-0-0_103081_2015-02-15_final
2015-02-15 10:39:38	ga_ls8c_ard_3-0-0_103082_2015-02-15_final
2015-05-13 10:43:03	ga_ls8c_ard_3-0-0_104077_2015-05-13_final
2015-05-13 10:43:27	ga_ls8c_ard_3-0-0_104078_2015-05-13_final
2015-05-13 10:43:51	ga_ls8c_ard_3-0-0_104079_2015-05-13_final
2015-05-13 10:44:15	ga_ls8c_ard_3-0-0_104080_2015-05-13_final
2015-05-13 10:44:39	ga_ls8c_ard_3-0-0_104081_2015-05-13_final
2015-05-13 10:45:03	ga_ls8c_ard_3-0-0_104082_2015-05-13_final
2015-05-20 10:47:15	ga_ls8c_ard_3-0-0_105072_2015-05-20_final
2015-05-20 10:47:39	ga_ls8c_ard_3-0-0_105073_2015-05-20_final
2015-05-20 10:48:03	ga_ls8c_ard_3-0-0_105074_2015-05-20_final
2015-05-20 10:48:27	ga_ls8c_ard_3-0-0_105075_2015-05-20_final
2015-05-20 10:48:51	ga_ls8c_ard_3-0-0_105076_2015-05-20_final
2015-05-20 10:49:15	ga_ls8c_ard_3-0-0_105077_2015-05-20_final
2015-05-20 10:49:39	ga_ls8c_ard_3-0-0_105078_2015-05-20_final
2015-06-05 10:47:23	ga_ls8c_ard_3-0-0_105072_2015-06-05_final
2015-06-05 10:47:47	ga_ls8c_ard_3-0-0_105073_2015-06-05_final
2015-06-05 10:48:11	ga_ls8c_ard_3-0-0_105074_2015-06-05_final
2015-06-05 10:48:35	ga_ls8c_ard_3-0-0_105075_2015-06-05_final
2015-06-05 10:48:59	ga_ls8c_ard_3-0-0_105076_2015-06-05_final
2015-06-05 10:49:23	ga_ls8c_ard_3-0-0_105077_2015-06-05_final
2015-06-05 10:49:47	ga_ls8c_ard_3-0-0_105078_2015-06-05_final
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
2019-07-16 10:58:31	ga_ls8c_ard_3-1-0_107067_2019-07-16_final
2019-07-16 10:58:55	ga_ls8c_ard_3-1-0_107068_2019-07-16_final
2019-07-16 10:59:19	ga_ls8c_ard_3-1-0_107069_2019-07-16_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
2019-10-24 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
2019-11-21 10:58:53	ga_ls8c_ard_3-1-0_107067_2019-11-21_final
2019-11-21 10:59:17	ga_ls8c_ard_3-1-0_107068_2019-11-21_final
2019-11-21 10:59:41	ga_ls8c_ard_3-1-0_107069_2019-11-21_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
2021-01-26 10:58:43	ga_ls8c_ard_3-2-0_107067_2021-01-26_final
2021-01-26 10:59:07	ga_ls8c_ard_3-2-0_107068_2021-01-26_final
2021-01-26 10:59:31	ga_ls8c_ard_3-2-0_107069_2021-01-26_final
2021-01-30 10:39:34	ga_ls8c_ard_3-2-0_103081_2021-01-30_final
2021-01-30 10:39:58	ga_ls8c_ard_3-2-0_103082_2021-01-30_final
2021-01-30 10:40:22	ga_ls8c_ard_3-2-0_103083_2021-01-30_final
2021-05-11 10:52:20	ga_ls8c_ard_3-2-0_106068_2021-05-11_final
2021-05-11 10:52:44	ga_ls8c_ard_3-2-0_106069_2021-05-11_final
2021-05-11 10:53:07	ga_ls8c_ard_3-2-0_106070_2021-05-11_final
2021-05-11 10:53:31	ga_ls8c_ard_3-2-0_106071_2021-05-11_final
2021-05-11 10:53:55	ga_ls8c_ard_3-2-0_106072_2021-05-11_final
2021-05-11 10:54:19	ga_ls8c_ard_3-2-0_106073_2021-05-11_final
2021-05-13 10:43:35	ga_ls8c_ard_3-2-0_104077_2021-05-13_final
2021-05-13 10:43:59	ga_ls8c_ard_3-2-0_104078_2021-05-13_final
2021-05-13 10:44:23	ga_ls8c_ard_3-2-0_104079_2021-05-13_final
2021-05-13 10:44:47	ga_ls8c_ard_3-2-0_104080_2021-05-13_final
2021-05-13 10:45:11	ga_ls8c_ard_3-2-0_104081_2021-05-13_final
2021-05-13 10:45:35	ga_ls8c_ard_3-2-0_104082_2021-05-13_final
2021-07-14 10:52:42	ga_ls8c_ard_3-2-0_106068_2021-07-14_final
2021-07-14 10:53:06	ga_ls8c_ard_3-2-0_106069_2021-07-14_final
2021-07-14 10:53:30	ga_ls8c_ard_3-2-0_106070_2021-07-14_final
2021-07-14 10:53:54	ga_ls8c_ard_3-2-0_106071_2021-07-14_final
2021-07-14 10:54:18	ga_ls8c_ard_3-2-0_106072_2021-07-14_final
2021-07-14 10:54:42	ga_ls8c_ard_3-2-0_106073_2021-07-14_final
2021-07-16 10:43:56	ga_ls8c_ard_3-2-0_104077_2021-07-16_final
2021-07-16 10:44:20	ga_ls8c_ard_3-2-0_104078_2021-07-16_final
2021-07-16 10:44:44	ga_ls8c_ard_3-2-0_104079_2021-07-16_final
2021-07-16 10:45:08	ga_ls8c_ard_3-2-0_104080_2021-07-16_final
2021-07-16 10:45:32	ga_ls8c_ard_3-2-0_104081_2021-07-16_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