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
2015-02-18 11:04:34	ga_ls8c_ard_3-0-0_108067_2015-02-18_final
2015-02-18 11:04:58	ga_ls8c_ard_3-0-0_108068_2015-02-18_final
2015-02-20 10:54:12	ga_ls8c_ard_3-0-0_106072_2015-02-20_final
2015-02-20 10:54:36	ga_ls8c_ard_3-0-0_106073_2015-02-20_final
2015-02-20 10:55:00	ga_ls8c_ard_3-0-0_106074_2015-02-20_final
2015-02-20 10:55:24	ga_ls8c_ard_3-0-0_106075_2015-02-20_final
2015-02-20 10:55:48	ga_ls8c_ard_3-0-0_106076_2015-02-20_final
2015-02-20 10:56:12	ga_ls8c_ard_3-0-0_106077_2015-02-20_final
2015-02-20 10:56:36	ga_ls8c_ard_3-0-0_106078_2015-02-20_final
2015-03-01 10:49:34	ga_ls8c_ard_3-0-0_105076_2015-03-01_final
2015-03-01 10:49:58	ga_ls8c_ard_3-0-0_105077_2015-03-01_final
2015-03-01 10:50:22	ga_ls8c_ard_3-0-0_105078_2015-03-01_final
2015-03-01 10:50:46	ga_ls8c_ard_3-0-0_105079_2015-03-01_final
2015-03-01 10:51:10	ga_ls8c_ard_3-0-0_105080_2015-03-01_final
2015-03-01 10:51:34	ga_ls8c_ard_3-0-0_105081_2015-03-01_final
2015-03-01 10:51:58	ga_ls8c_ard_3-0-0_105082_2015-03-01_final
2017-03-22 10:49:51	ga_ls8c_ard_3-0-0_105077_2017-03-22_final
2017-03-22 10:50:15	ga_ls8c_ard_3-0-0_105078_2017-03-22_final
2017-03-22 10:50:39	ga_ls8c_ard_3-0-0_105079_2017-03-22_final
2017-03-22 10:51:02	ga_ls8c_ard_3-0-0_105080_2017-03-22_final
2017-03-22 10:51:26	ga_ls8c_ard_3-0-0_105081_2017-03-22_final
2017-03-22 10:51:50	ga_ls8c_ard_3-0-0_105082_2017-03-22_final
2017-04-16 10:45:04	ga_ls8c_ard_3-0-0_104081_2017-04-16_final
2017-04-16 10:45:28	ga_ls8c_ard_3-0-0_104082_2017-04-16_final
2017-04-16 10:45:52	ga_ls8c_ard_3-0-0_104083_2017-04-16_final
2017-04-28 11:04:04	ga_ls8c_ard_3-0-0_108067_2017-04-28_final
2017-04-28 11:04:28	ga_ls8c_ard_3-0-0_108068_2017-04-28_final
2017-07-17 11:04:36	ga_ls8c_ard_3-0-0_108067_2017-07-17_final
2017-07-17 11:04:59	ga_ls8c_ard_3-0-0_108068_2017-07-17_final
2017-07-19 10:54:15	ga_ls8c_ard_3-0-0_106072_2017-07-19_final
2017-07-19 10:54:39	ga_ls8c_ard_3-0-0_106073_2017-07-19_final
2017-07-19 10:55:02	ga_ls8c_ard_3-0-0_106074_2017-07-19_final
2017-07-19 10:55:26	ga_ls8c_ard_3-0-0_106075_2017-07-19_final
2017-07-19 10:55:50	ga_ls8c_ard_3-0-0_106076_2017-07-19_final
2017-07-19 10:56:14	ga_ls8c_ard_3-0-0_106077_2017-07-19_final
2017-07-19 10:56:38	ga_ls8c_ard_3-0-0_106078_2017-07-19_final
2017-07-28 10:49:44	ga_ls8c_ard_3-0-0_105076_2017-07-28_final
2017-07-28 10:50:08	ga_ls8c_ard_3-0-0_105077_2017-07-28_final
2017-07-28 10:50:32	ga_ls8c_ard_3-0-0_105078_2017-07-28_final
2017-07-28 10:50:56	ga_ls8c_ard_3-0-0_105079_2017-07-28_final
2017-07-28 10:51:20	ga_ls8c_ard_3-0-0_105080_2017-07-28_final
2017-07-28 10:51:44	ga_ls8c_ard_3-0-0_105081_2017-07-28_final
2017-07-28 10:52:08	ga_ls8c_ard_3-0-0_105082_2017-07-28_final
2017-08-11 10:58:36	ga_ls8c_ard_3-0-0_107067_2017-08-11_final
2017-08-11 10:59:00	ga_ls8c_ard_3-0-0_107068_2017-08-11_final
2017-08-11 10:59:24	ga_ls8c_ard_3-0-0_107069_2017-08-11_final
2017-08-11 10:59:48	ga_ls8c_ard_3-0-0_107070_2017-08-11_final
2017-08-11 11:00:12	ga_ls8c_ard_3-0-0_107071_2017-08-11_final
2017-08-11 11:00:36	ga_ls8c_ard_3-0-0_107072_2017-08-11_final
2017-08-11 11:00:59	ga_ls8c_ard_3-0-0_107073_2017-08-11_final
2017-08-18 11:04:49	ga_ls8c_ard_3-0-0_108067_2017-08-18_final
2017-08-18 11:05:13	ga_ls8c_ard_3-0-0_108068_2017-08-18_final
2017-08-27 10:58:40	ga_ls8c_ard_3-0-0_107067_2017-08-27_final
2017-08-27 10:59:04	ga_ls8c_ard_3-0-0_107068_2017-08-27_final
2017-08-27 10:59:28	ga_ls8c_ard_3-0-0_107069_2017-08-27_final
2017-08-27 10:59:52	ga_ls8c_ard_3-0-0_107070_2017-08-27_final
2017-08-27 11:00:16	ga_ls8c_ard_3-0-0_107071_2017-08-27_final
2017-08-27 11:00:40	ga_ls8c_ard_3-0-0_107072_2017-08-27_final
2017-08-27 11:01:03	ga_ls8c_ard_3-0-0_107073_2017-08-27_final
2023-03-14 10:54:21	ga_ls8c_ard_3-2-1_106072_2023-03-14_final
2023-03-14 10:54:45	ga_ls8c_ard_3-2-1_106073_2023-03-14_final
2023-03-14 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-03-14_final
2023-03-14 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-03-14_final
2023-03-14 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-03-14_final
2023-03-14 10:56:21	ga_ls8c_ard_3-2-1_106077_2023-03-14_final
2023-03-14 10:56:45	ga_ls8c_ard_3-2-1_106078_2023-03-14_final
2023-03-23 10:50:03	ga_ls8c_ard_3-2-1_105077_2023-03-23_final
2023-03-23 10:50:27	ga_ls8c_ard_3-2-1_105078_2023-03-23_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-03-23 10:51:14	ga_ls8c_ard_3-2-1_105080_2023-03-23_final
2023-03-23 10:51:38	ga_ls8c_ard_3-2-1_105081_2023-03-23_final
2023-03-23 10:52:02	ga_ls8c_ard_3-2-1_105082_2023-03-23_final
2023-03-30 10:54:11	ga_ls8c_ard_3-2-1_106072_2023-03-30_final
2023-03-30 10:54:35	ga_ls8c_ard_3-2-1_106073_2023-03-30_final
2023-03-30 10:54:59	ga_ls8c_ard_3-2-1_106074_2023-03-30_final
2023-03-30 10:55:23	ga_ls8c_ard_3-2-1_106075_2023-03-30_final
2023-03-30 10:55:47	ga_ls8c_ard_3-2-1_106076_2023-03-30_final
2023-03-30 10:56:11	ga_ls8c_ard_3-2-1_106077_2023-03-30_final
2023-03-30 10:56:35	ga_ls8c_ard_3-2-1_106078_2023-03-30_final
2023-04-01 10:45:23	ga_ls8c_ard_3-2-1_104081_2023-04-01_final
2023-04-01 10:45:47	ga_ls8c_ard_3-2-1_104082_2023-04-01_final
2023-04-24 10:49:43	ga_ls8c_ard_3-2-1_105077_2023-04-24_final
2023-04-24 10:50:07	ga_ls8c_ard_3-2-1_105078_2023-04-24_final
2023-04-24 10:50:31	ga_ls8c_ard_3-2-1_105079_2023-04-24_final
2023-04-24 10:50:55	ga_ls8c_ard_3-2-1_105080_2023-04-24_final
2023-04-24 10:51:19	ga_ls8c_ard_3-2-1_105081_2023-04-24_final
2023-04-24 10:51:43	ga_ls8c_ard_3-2-1_105082_2023-04-24_final
2023-09-06 10:54:21	ga_ls8c_ard_3-2-1_106072_2023-09-06_final
2023-09-06 10:54:45	ga_ls8c_ard_3-2-1_106073_2023-09-06_final
2023-09-06 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-09-06_final
2023-09-06 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-09-06_final
2023-09-06 10:56:21	ga_ls8c_ard_3-2-1_106077_2023-09-06_final
2023-09-08 10:45:36	ga_ls8c_ard_3-2-1_104081_2023-09-08_final
2023-09-08 10:46:00	ga_ls8c_ard_3-2-1_104082_2023-09-08_final
2023-09-15 10:49:51	ga_ls8c_ard_3-2-1_105076_2023-09-15_final
2023-09-15 10:50:15	ga_ls8c_ard_3-2-1_105077_2023-09-15_final
2023-09-15 10:50:39	ga_ls8c_ard_3-2-1_105078_2023-09-15_final
2023-09-15 10:51:03	ga_ls8c_ard_3-2-1_105079_2023-09-15_final
2023-09-15 10:51:27	ga_ls8c_ard_3-2-1_105080_2023-09-15_final
2023-09-15 10:51:51	ga_ls8c_ard_3-2-1_105081_2023-09-15_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